Data Science Boot Camps: Get Ready For The Future Now

The education you receive can make a significant difference to your potential career path and job prospects.

There are many considerations when selecting educational programs. The cost and length of a training course can play a significant part in its popularity.

The degree or certification received after graduation is important because it determines which career path you can pursue.

Students benefit from choosing a field with a wide range of career paths. Exploring job outlooks and how they are projected to grow can also help people make the correct decision.

Tech-related educational programs are popular because they can be applied across many industries. This broadens the job potential after a student graduates. Certain tech-related educational programs have high projected employment opportunities.

Choosing between a degree and bootcamp for your education can be a challenge. A degree typically takes four years to complete and can be a significant financial burden.

Educational bootcamps are short, intensive courses that can be completed in a fraction of the time, helping people find employment sooner.

Educational bootcamps are ideal for people already in the industry who want to hone their skills and can be more financially viable for students who want to learn about a particular subject.

Data science bootcamps are a popular choice because they can open up careers in many fields, including:

  • Finance
  • Healthcare
  • IT Products
  • IT Services

If you are interested in taking a data science bootcamp or want to learn more about them, please keep reading.

This article will take you through everything you need to know about data science bootcamps and the potential this field holds.

What Is Data Science?

Data science is the preparation and analysis of data. Large volumes of data are collected in all kinds of fields and industries, and the role of a data scientist is to collate and make sense of this information.

Data scientists rely on their learning to use mathematics and computer science skills, which allow them to carry out complex data analysis. This can include the design and use of algorithms and predictive models.

These tools and machine learning fundamentals can be used to identify patterns and trends in data. This information can be used to improve business processes and the user experience.

Smarter decisions can be made by the business based on the data that has been processed.

What Jobs Can I Get With A Data Science Education?

Understanding the potential career paths offered by educational programs is important. This will determine what kind of jobs and fields can be explored after graduation.

Data scientists will have a wide range of career opportunities. This is because many fields require them to analyze the data they collect.

A data science career will help businesses and institutions make sense of the data they receive. This will allow them to implement changes that can streamline and improve processes and services.

Data science careers include, but are not restricted to, the following:

Data Architect

Data architects work with data engineers. This is to determine the strategy that is to be used and the data that is required.

They can then enhance existing database systems to create new ones to facilitate data gathering.

Data management processes and flows are typically designed by Data Architects.

Data Analyst

Data analysts are tasked with studying the data businesses receive. This can then be put into reports in various tools like Excel or Tableau. This allows teams to develop strategies based on the relevant information.

Data analysts will deal with the raw data that has been collected. They will typically have strong working relationships with other departments. These include:

  • Finance
  • Marketing
  • Customer Support
  • Sales

Data scientists often start out in data analysis and engineering roles.

Data Engineer

The role of a data engineer includes accessing and processing significant amounts of data.

Maintaining data pipelines ensures they can be analyzed by relevant teams.

Programming languages like SQL, Python, and NoSQL are used to set up infrastructures.

Machine Learning Engineer

The role of a machine learning engineer is typically a senior one. It requires significant expertise and experience.

The role combines aspects of data science and software engineering; this helps them to develop models and software. Artificial intelligence development can also be part of the role.

These responsibilities can be crucial to driving organizational processes.

Mathematicians & Statisticians

The role of a statistician is to interpret vast volumes of surveys and numerical data. Models can be used to collect and report on data.

These roles can be applied in a variety of fields. These include:

  • Healthcare
  • Research
  • Government
  • Developmental Organizations

The adaptability of this skill set makes it extremely valuable.

Business IT Analyst

Business consultants and intelligence developers are titles held by business IT analysts.

Business IT analysts combine analysis and strategies to benefit businesses.

Data processing and analysis allows business IT consultants to identify opportunities to grow their businesses and increase revenue.

Programming and analytic skills are essential for this role. Experience with relevant tools will also be required.

Clinical Data Manager

Clinical data management is a healthcare role. A combination of computer and data science and healthcare training is beneficial. It allows clinical data managers to perform the role to a high standard.

The data collected in research and clinical trials are used to predict trends in the medical industry. Clinical data managers gather and analyze the data to do this accurately.

Marketing Analyst

Marketing analysts are required to improve market strategies and campaigns and do this by analyzing the data accumulated by businesses to identify patterns and trends.

Businesses that sell online are able to gather a large volume of data that identifies customer preferences and streamlines processes. This can also lead to an increase in revenue.

Data Scientist Skills

To be a data scientist, you will be required to have a comprehensive understanding of relevant concepts and skills such as:

  • The ability to work as part of a team
  • Strong analytical skills
  • The ability to collaborate on projects
  • Strong communication skills
  • A strong grasp of programming languages like Java and Python
  • Experience with platforms like Tableau and Matplotlib
  • Experience in machine learning and AI

Specific job roles may have additional, experience-based requirements.

Learning the skills mentioned above will be beneficial for entering the job market. Up-to-date knowledge of systems and platforms will be invaluable. Hands-on training will also stand you in good stead.

Data Science Job Prospects

Your education can be a great investment for the future, especially if the field you are studying has good projected growth and job opportunities.

The U.S. Bureau of Labor Statistics projects the job outlook for data scientists to grow faster than the national average.

There is a projected growth in the field of 36% between 2021 and 2031. This will result in approximately 13,500 new data scientist positions per year. 

This figure will be made up of new positions and roles open due to retirement and workers changing occupations.

Data Science Employment Statistics

The U.S. Bureau of Labor Statistics breaks down potential job opportunities and explores a number of factors that explain the outlook for graduates.

The following statistics were gathered in May 2021. Because of this, there may be slight changes; however, the statistics provided are a great way to get a better understanding of data science employment in the U.S.

  • The industry with the highest employment figures for data scientists is computer system design.
  • The industry with the highest average wage was computer and peripheral equipment manufacturing. An average hourly wage of $71.29 translates to an annual wage of $148,290.
  • California was home to the largest number of data scientists in employment, with 17,750. This was significantly more than the next closest U.S. location. This was New York, with 10,050 employed data scientists.
  • The District of Columbia had the highest concentration of jobs in the U.S. For every thousand jobs, 2.09 were in data science.
  • Washington offered the top-paying positions in data science. Washington had jobs with an annual wage of $133,900.
  • The highest number of data scientists in a metropolitan area is found in New York – Newark – Jersey City – NY-NJ-PA. The highest concentration is found in San Jose-Sunnyvale-Santa Clara, CA, where 3.30 people per one thousand jobs are in data science.
  • San Jose-Sunnyvale-Santa Clara, CA, is also home to the top annual mean wage of $157,110.

What Is A Data Science Bootcamp?

Making the right decision for your education is essential because it will dictate the overall cost. It can also affect job possibilities after graduation.

Bootcamps are immersive and intensive learning programs that are designed by industry professionals to prepare students for jobs in data science.

Programs can last a few months, allowing students to immerse themselves in the subject and get certification in a fraction of the time a degree may take. They can be significantly cheaper than degrees and offer excellent value for money.

Short, intensive programs are an excellent way for candidates to build the right skill set to stand out in the data science job market.

Data science bootcamps are designed to cover the most essential aspects of the role, including:

  • Data Visualization
  • Fundamental Data Science Concepts
  • Advanced-Data Science Techniques
  • Programming Languages, including SQL and Python

Bootcamps are available to be studied on campus at some institutions. There are also many online data science bootcamps that can provide greater convenience and flexibility for students.

Data Science Bootcamps vs Data Science Degrees

Choosing whether you want to study in a bootcamp or complete a full degree is an important decision and looking at the benefits of both can help you make your choice.

Bootcamps are an ideal way for experienced professionals to upskill and are also useful if you have an undergraduate degree in an unrelated field.

Data science bachelor degrees can cost up to five times more than data science bootcamps with data science bootcamps available for under $10,000. In comparison, the average cost of a bachelor’s degree in data science is around $53,000.

A degree is also a huge commitment in terms of time. Bachelor’s degrees will typically take a minimum of four years, whereas a data science bootcamp can be completed in just a few months.

Both options offer flexibility as there are part-time and full-time options available. Bootcamps also offer self-paced programs, which provide greater flexibility.

In-person and online options are more readily available with data science bootcamps. However, some universities may offer these options when studying for a degree.

A master’s or bachelor’s degree will provide a greater level of education, but you will still gain essential skills from a bootcamp that will prepare you for employment in the field.

At the end of a data science bootcamp, you will receive a certificate with your qualifications and after a degree; you will receive your master’s or bachelor’s degree.

Personal circumstances will typically dictate the best option for individuals. If you are looking for a quick way to improve your skills and job opportunities, a bootcamp can be an excellent option.

You will be able to save a lot of money on your education with a bootcamp. Entering the field quickly will also allow you to enter employment and start earning in just a few months.

What Is Included In A Data Science Bootcamp?

A typical data science bootcamp will prepare students to work in the field, and each institution may have a slightly different syllabus that should be researched to discover what is included in individual data science courses.

An average data science bootcamp might include the following course topics:

Fundamental Concepts

Learning the fundamental concepts of data science is essential for a greater understanding of the subject.

Students will learn more about data types, processing, relational databases, and database schema.

Industry tools such as MySQL will be introduced to prepare students for the analytics process.

Data Analysis

Data science courses also cover data analysis and the programming language skills learned allows students to process and analyze large data sets.

Visualization

Visualization is key to data science. It concerns how the insights you have discovered are presented to stakeholders and colleagues.

There is a strong design element in visualization and students will explore dashboarding and chart creation. These disciplines are key to delivering information to stakeholders and industry tools such as Tableau are used for this. Gathering experience in industry tools like this will greatly benefit the student.

Data Science Analysis

Data scientists work with vast amounts of complex data that needs to be analyzed. Bootcamps are designed to provide students with the skills to be able to gather information and analyze it to determine trends and patterns.

Data Science Programming

To handle high volumes of complex information, data scientists must have programming skills. Students will learn fundamental programming skills.

Statistical Analysis

Discovering insights is crucial to data science. Learning statistical analysis concepts ensures students have the skill set to do this.

Data science bootcamps teach key analysis concepts, which include:

  • Dispersion
  • Central Tendency
  • Convenience
  • Hypothesis Testing

Logistic and linear regression is used to build predictive models to determine key patterns in data.

Industry Tools

The use of industry tools is essential in data science, and the course introduces students to some of the field’s most common tools, including Python.

Students will learn about the capabilities of Python and how it can be applied to the field of data science.

Machine Learning Concepts

Another key aspect of data science is machine learning. Machine learning concerns the development and use of complex systems that can learn and adapt to provide in-depth data analysis.

Studying the fundamentals and concepts of machine learning will show its possible applications.

Machine Learning Application

Students will go on to learn more about applying machine learning to data analysis.

Predictive Modeling

Predicative modeling will prepare students for working with unstructured data. Evaluation will also be key to determining the accuracy of predictive modeling.

Big Data Fundamentals

The data received by data scientists can be diverse. Data scientists may receive this data in different formats from different sources, and different technologies and different people will be required to manage big data effectively

Big data fundamentals teach students about the people and processes in place to manage big data. The architecture and technology around this will also be explored.

Big Data Analysis

Being able to analyze big data efficiently is essential, and various industry tools are essential to the field. Students will gain experience with tools such as Hadoop and Amazon Web Services to help them do this.

Data organization and manipulation will be taught to make the analysis possible. This will then allow data scientists to resolve data problems.

Students will explore different models and techniques, which will give them a greater understanding of big data projects.

Professional Development

A data science bootcamp ultimately prepares students for the workplace. Design thinking and presentation are key aspects of this.

Data Science Ethics

The work carried out by a data scientist can be highly sensitive, so learning data science ethics is essential.

Understanding the responsibilities of gathering sensitive data is essential to a student’s development and helps them provide accurate results.

Career Skills

Students will improve their industry skills to become good prospects for employers. Students can also take a more personal approach to career development during their learning.

This includes preparations for launching a new career in data science. Presentation and interview skills will be important when trying to land a role in the data science field.

Students will also be able to work on portfolios that can be presented to potential employers.

Is A Data Science Bootcamp Worth It?

Data science bootcamps offer great value for money. They are significantly cheaper than master’s or bachelor’s degrees and can also provide a quick access route to a growing field.

The field of data science has strong growth projections and competitive wages. These aspects make it a viable career path for many driven individuals.

A data science bootcamp is an excellent option for individuals already in the tech field that want to upskill. It can also be a great gateway into the field for people without experience.

Looking at the pros and cons of data science bootcamps will help you determine whether it is the correct path of education for you.

Pros of Data Science Bootcamps

  • Bootcamps are designed and held by industry experts. These professionals use their experience to facilitate relevant and up-to-date data science courses.
  • Bootcamps are generally more flexible: full-time, part-time, and self-paced options are often available. This is especially convenient for people with work or family commitments.
  • Online learning is common for bootcamps, as it is convenient and reduces the cost of studying.
  • The cost of bootcamps is significantly less than full degrees. This makes it an affordable option for people that want to move into the field or expand their skill set.
  • The time it takes to complete a bootcamp is considerably shorter than completing a degree. Degrees can take four years. In comparison, a bootcamp can be completed in just a few months.
  • Because bootcamps are shorter, the skills taught are more focused and precise. Industry experts look at the essential skills required to work as a data scientist.
  • Most bootcamps have a strong focus on careers after graduation. They prepare students for job searches and interviews. They can also help students focus on their portfolios.

Cons of Data Science Bootcamps

  • Data science bootcamps are intensive courses. This can put students under a lot of pressure to immerse themselves fully for the duration of the course.
  • Online learning can lead to feelings of isolation. Sole projects can also lead to this. Making use of support and chat board facilities provided by learning institutions can combat this.
  • Qualifications achieved from bootcamps are not as widely accepted as degrees. It is worth checking with prospective employers whether bootcamp accreditation will be accepted.
  • Specialization is difficult in bootcamps. This is because the course is condensed and focuses on specific and essential elements of data science.

How Much Does A Data Science Bootcamp Cost?

Data science bootcamps vary in cost. When deciding on a bootcamp, it is important that you find one that fits your budget.

The cost of the program will be determined by the institution itself and what is included in the course. On average, you could expect to pay anywhere between $8,000 and $16,500 for a data science bootcamp.

Online courses can offer greater value for money and being able to study from home removes travel costs. It also removes the time needed for commuting which can be applied to study.

Students that study at data science bootcamps will typically have different payment options to choose from.

Data Science Bootcamp Payment Options

While the cost of a data science bootcamp is significantly less than a degree, it can still be a big financial commitment.

Understanding the potential payment methods will help you to decide which best suits your needs.

The most common payment options offered for data science bootcamps include:

Upfront Payment

Paying upfront can be a great option if you have the money and some institutions may offer discounted prices for paying in full.

Upfront payments will also help students avoid fees or interest payments that may come with other options.

Installments

Paying in installments lets students pay more affordable amounts on agreed dates. Additional costs or interest may be added to these kinds of payments, so you should always take the time to read the small print when agreeing to any financial transaction.

Deferred Payment Options

Deferred payments are options that put off payment until the graduate gains employment. There may be salary thresholds that must be met before repayment begins.

Always check whether there are interest costs associated with this. If there are, check whether there is a cap on how much you would pay in total.

Financing

Finance deals or loans can be taken out to cover the cost of the bootcamp. Some institutions offer financing options or have deals with lenders.

It can still be worth checking alternative loan options to see whether you can find more agreeable terms elsewhere.

ISAs (Income Shared Agreements)

Income-shared agreements are similar to deferred payments. They rely on the graduate to gain employment, and an agreed percentage of the graduate’s salary will then go towards repayments.

How To Choose A Data Science Bootcamp

Having a choice of bootcamps gives students more options and allows them to make the right decisions for their preferred career path.

The following considerations will help you choose the best data science bootcamp program.

Consider your career path

Data science bootcamps are designed to prepare students for a career in data science. Because data science can be applied to a number of fields, it is important the course you take teaches the skills you need.

There are many different data science bootcamps, and you will be able to explore the syllabus of each program before applying.

Students can explore the requirements for their desired roles which will help determine which course best meets their needs.

The type of roles you plan to apply for is also important. Whether you want to apply for entry-level positions or more senior roles will determine which course to take.

Assess your existing skills

Your current experience and skill set may affect the programs you can apply for. Some institutions require background knowledge on the subject.

Background knowledge can help students as bootcamp programs are fast-moving and intensive. This means that classes and lecturers move quickly without much time to cover the basics.

Beginner-level programs are available for people without any experience, and this can help people prepare for entry-level positions in the industry.

Narrow down and research programs

Students should take the time to explore all of their available options because there are lots of data science bootcamp programs available. Discounting unsuitable options should leave candidates with a suitable shortlist.

Students can then explore the course contents in more depth to determine the most suitable courses.

Researching the reputation of the institution will also help. Doing this will ensure students enjoy the best learning experience available.

Reading reviews from previous students can be a great way to find out more about the course and institution. Checking to see if the course is accredited by recognized institutions is also important.

Explore course types

The course type will play a big part in whether it suits a student’s needs. Some people may have the time to fully immerse themselves in a subject for months at a time, while other students may have existing responsibilities that require a more flexible approach.

The following course options can be explored:

In-Person

In-person learning requires the student to visit campus for their lessons. This is the least flexible option and requires a significant level of dedication and commitment.

In-person courses can be good for an immersive experience and are also good for face-to-face support.

However, in-person education requires the student to live nearby and pay their own traveling expenses.

Online

Online courses are significantly more convenient for students because they allow people from different locations to enjoy a wider selection of institutions.

Time and money will be saved on travel and can then be dedicated to studying or other responsibilities.

Self-paced online courses allow students to learn at a pace that suits their individual needs. This is perfect for people with children or jobs that can’t dedicate large portions of their day to study.

Online courses still offer support to students, and there will typically be live study groups and sessions with industry experts.

Data Science Boot Camps: Get Ready For The Future Now

The education you receive can make a significant difference to your potential career path and job prospects.

There are many considerations when selecting educational programs. The cost and length of a training course can play a significant part in its popularity.

The degree or certification received after graduation is important because it determines which career path you can pursue.

Students benefit from choosing a field with a wide range of career paths. Exploring job outlooks and how they are projected to grow can also help people make the correct decision.

Tech-related educational programs are popular because they can be applied across many industries. This broadens the job potential after a student graduates. Certain tech-related educational programs have high projected employment opportunities.

Choosing between a degree and bootcamp for your education can be a challenge. A degree typically takes four years to complete and can be a significant financial burden.

Educational bootcamps are short, intensive courses that can be completed in a fraction of the time, helping people find employment sooner.

Educational bootcamps are ideal for people already in the industry who want to hone their skills and can be more financially viable for students who want to learn about a particular subject.

Data science bootcamps are a popular choice because they can open up careers in many fields, including:

  • Finance
  • Healthcare
  • IT Products
  • IT Services

If you are interested in taking a data science bootcamp or want to learn more about them, please keep reading.

This article will take you through everything you need to know about data science bootcamps and the potential this field holds.

What Is Data Science?

Data science is the preparation and analysis of data. Large volumes of data are collected in all kinds of fields and industries, and the role of a data scientist is to collate and make sense of this information.

Data scientists rely on their learning to use mathematics and computer science skills, which allow them to carry out complex data analysis. This can include the design and use of algorithms and predictive models.

These tools and machine learning fundamentals can be used to identify patterns and trends in data. This information can be used to improve business processes and the user experience.

Smarter decisions can be made by the business based on the data that has been processed.

What Jobs Can I Get With A Data Science Education?

Understanding the potential career paths offered by educational programs is important. This will determine what kind of jobs and fields can be explored after graduation.

Data scientists will have a wide range of career opportunities. This is because many fields require them to analyze the data they collect.

A data science career will help businesses and institutions make sense of the data they receive. This will allow them to implement changes that can streamline and improve processes and services.

Data science careers include, but are not restricted to, the following:

Data Architect

Data architects work with data engineers. This is to determine the strategy that is to be used and the data that is required.

They can then enhance existing database systems to create new ones to facilitate data gathering.

Data management processes and flows are typically designed by Data Architects.

Data Analyst

Data analysts are tasked with studying the data businesses receive. This can then be put into reports in various tools like Excel or Tableau. This allows teams to develop strategies based on the relevant information.

Data analysts will deal with the raw data that has been collected. They will typically have strong working relationships with other departments. These include:

  • Finance
  • Marketing
  • Customer Support
  • Sales

Data scientists often start out in data analysis and engineering roles.

Data Engineer

The role of a data engineer includes accessing and processing significant amounts of data.

Maintaining data pipelines ensures they can be analyzed by relevant teams.

Programming languages like SQL, Python, and NoSQL are used to set up infrastructures.

Machine Learning Engineer

The role of a machine learning engineer is typically a senior one. It requires significant expertise and experience.

The role combines aspects of data science and software engineering; this helps them to develop models and software. Artificial intelligence development can also be part of the role.

These responsibilities can be crucial to driving organizational processes.

Mathematicians & Statisticians

The role of a statistician is to interpret vast volumes of surveys and numerical data. Models can be used to collect and report on data.

These roles can be applied in a variety of fields. These include:

  • Healthcare
  • Research
  • Government
  • Developmental Organizations

The adaptability of this skill set makes it extremely valuable.

Business IT Analyst

Business consultants and intelligence developers are titles held by business IT analysts.

Business IT analysts combine analysis and strategies to benefit businesses.

Data processing and analysis allows business IT consultants to identify opportunities to grow their businesses and increase revenue.

Programming and analytic skills are essential for this role. Experience with relevant tools will also be required.

Clinical Data Manager

Clinical data management is a healthcare role. A combination of computer and data science and healthcare training is beneficial. It allows clinical data managers to perform the role to a high standard.

The data collected in research and clinical trials are used to predict trends in the medical industry. Clinical data managers gather and analyze the data to do this accurately.

Marketing Analyst

Marketing analysts are required to improve market strategies and campaigns and do this by analyzing the data accumulated by businesses to identify patterns and trends.

Businesses that sell online are able to gather a large volume of data that identifies customer preferences and streamlines processes. This can also lead to an increase in revenue.

Data Scientist Skills

To be a data scientist, you will be required to have a comprehensive understanding of relevant concepts and skills such as:

  • The ability to work as part of a team
  • Strong analytical skills
  • The ability to collaborate on projects
  • Strong communication skills
  • A strong grasp of programming languages like Java and Python
  • Experience with platforms like Tableau and Matplotlib
  • Experience in machine learning and AI

Specific job roles may have additional, experience-based requirements.

Learning the skills mentioned above will be beneficial for entering the job market. Up-to-date knowledge of systems and platforms will be invaluable. Hands-on training will also stand you in good stead.

Data Science Job Prospects

Your education can be a great investment for the future, especially if the field you are studying has good projected growth and job opportunities.

The U.S. Bureau of Labor Statistics projects the job outlook for data scientists to grow faster than the national average.

There is a projected growth in the field of 36% between 2021 and 2031. This will result in approximately 13,500 new data scientist positions per year. 

This figure will be made up of new positions and roles open due to retirement and workers changing occupations.

Data Science Employment Statistics

The U.S. Bureau of Labor Statistics breaks down potential job opportunities and explores a number of factors that explain the outlook for graduates.

The following statistics were gathered in May 2021. Because of this, there may be slight changes; however, the statistics provided are a great way to get a better understanding of data science employment in the U.S.

  • The industry with the highest employment figures for data scientists is computer system design.
  • The industry with the highest average wage was computer and peripheral equipment manufacturing. An average hourly wage of $71.29 translates to an annual wage of $148,290.
  • California was home to the largest number of data scientists in employment, with 17,750. This was significantly more than the next closest U.S. location. This was New York, with 10,050 employed data scientists.
  • The District of Columbia had the highest concentration of jobs in the U.S. For every thousand jobs, 2.09 were in data science.
  • Washington offered the top-paying positions in data science. Washington had jobs with an annual wage of $133,900.
  • The highest number of data scientists in a metropolitan area is found in New York – Newark – Jersey City – NY-NJ-PA. The highest concentration is found in San Jose-Sunnyvale-Santa Clara, CA, where 3.30 people per one thousand jobs are in data science.
  • San Jose-Sunnyvale-Santa Clara, CA, is also home to the top annual mean wage of $157,110.

What Is A Data Science Bootcamp?

Making the right decision for your education is essential because it will dictate the overall cost. It can also affect job possibilities after graduation.

Bootcamps are immersive and intensive learning programs that are designed by industry professionals to prepare students for jobs in data science.

Programs can last a few months, allowing students to immerse themselves in the subject and get certification in a fraction of the time a degree may take. They can be significantly cheaper than degrees and offer excellent value for money.

Short, intensive programs are an excellent way for candidates to build the right skill set to stand out in the data science job market.

Data science bootcamps are designed to cover the most essential aspects of the role, including:

  • Data Visualization
  • Fundamental Data Science Concepts
  • Advanced-Data Science Techniques
  • Programming Languages, including SQL and Python

Bootcamps are available to be studied on campus at some institutions. There are also many online data science bootcamps that can provide greater convenience and flexibility for students.

Data Science Bootcamps vs Data Science Degrees

Choosing whether you want to study in a bootcamp or complete a full degree is an important decision and looking at the benefits of both can help you make your choice.

Bootcamps are an ideal way for experienced professionals to upskill and are also useful if you have an undergraduate degree in an unrelated field.

Data science bachelor degrees can cost up to five times more than data science bootcamps with data science bootcamps available for under $10,000. In comparison, the average cost of a bachelor’s degree in data science is around $53,000.

A degree is also a huge commitment in terms of time. Bachelor’s degrees will typically take a minimum of four years, whereas a data science bootcamp can be completed in just a few months.

Both options offer flexibility as there are part-time and full-time options available. Bootcamps also offer self-paced programs, which provide greater flexibility.

In-person and online options are more readily available with data science bootcamps. However, some universities may offer these options when studying for a degree.

A master’s or bachelor’s degree will provide a greater level of education, but you will still gain essential skills from a bootcamp that will prepare you for employment in the field.

At the end of a data science bootcamp, you will receive a certificate with your qualifications and after a degree; you will receive your master’s or bachelor’s degree.

Personal circumstances will typically dictate the best option for individuals. If you are looking for a quick way to improve your skills and job opportunities, a bootcamp can be an excellent option.

You will be able to save a lot of money on your education with a bootcamp. Entering the field quickly will also allow you to enter employment and start earning in just a few months.

What Is Included In A Data Science Bootcamp?

A typical data science bootcamp will prepare students to work in the field, and each institution may have a slightly different syllabus that should be researched to discover what is included in individual data science courses.

An average data science bootcamp might include the following course topics:

Fundamental Concepts

Learning the fundamental concepts of data science is essential for a greater understanding of the subject.

Students will learn more about data types, processing, relational databases, and database schema.

Industry tools such as MySQL will be introduced to prepare students for the analytics process.

Data Analysis

Data science courses also cover data analysis and the programming language skills learned allows students to process and analyze large data sets.

Visualization

Visualization is key to data science. It concerns how the insights you have discovered are presented to stakeholders and colleagues.

There is a strong design element in visualization and students will explore dashboarding and chart creation. These disciplines are key to delivering information to stakeholders and industry tools such as Tableau are used for this. Gathering experience in industry tools like this will greatly benefit the student.

Data Science Analysis

Data scientists work with vast amounts of complex data that needs to be analyzed. Bootcamps are designed to provide students with the skills to be able to gather information and analyze it to determine trends and patterns.

Data Science Programming

To handle high volumes of complex information, data scientists must have programming skills. Students will learn fundamental programming skills.

Statistical Analysis

Discovering insights is crucial to data science. Learning statistical analysis concepts ensures students have the skill set to do this.

Data science bootcamps teach key analysis concepts, which include:

  • Dispersion
  • Central Tendency
  • Convenience
  • Hypothesis Testing

Logistic and linear regression is used to build predictive models to determine key patterns in data.

Industry Tools

The use of industry tools is essential in data science, and the course introduces students to some of the field’s most common tools, including Python.

Students will learn about the capabilities of Python and how it can be applied to the field of data science.

Machine Learning Concepts

Another key aspect of data science is machine learning. Machine learning concerns the development and use of complex systems that can learn and adapt to provide in-depth data analysis.

Studying the fundamentals and concepts of machine learning will show its possible applications.

Machine Learning Application

Students will go on to learn more about applying machine learning to data analysis.

Predictive Modeling

Predicative modeling will prepare students for working with unstructured data. Evaluation will also be key to determining the accuracy of predictive modeling.

Big Data Fundamentals

The data received by data scientists can be diverse. Data scientists may receive this data in different formats from different sources, and different technologies and different people will be required to manage big data effectively

Big data fundamentals teach students about the people and processes in place to manage big data. The architecture and technology around this will also be explored.

Big Data Analysis

Being able to analyze big data efficiently is essential, and various industry tools are essential to the field. Students will gain experience with tools such as Hadoop and Amazon Web Services to help them do this.

Data organization and manipulation will be taught to make the analysis possible. This will then allow data scientists to resolve data problems.

Students will explore different models and techniques, which will give them a greater understanding of big data projects.

Professional Development

A data science bootcamp ultimately prepares students for the workplace. Design thinking and presentation are key aspects of this.

Data Science Ethics

The work carried out by a data scientist can be highly sensitive, so learning data science ethics is essential.

Understanding the responsibilities of gathering sensitive data is essential to a student’s development and helps them provide accurate results.

Career Skills

Students will improve their industry skills to become good prospects for employers. Students can also take a more personal approach to career development during their learning.

This includes preparations for launching a new career in data science. Presentation and interview skills will be important when trying to land a role in the data science field.

Students will also be able to work on portfolios that can be presented to potential employers.

Is A Data Science Bootcamp Worth It?

Data science bootcamps offer great value for money. They are significantly cheaper than master’s or bachelor’s degrees and can also provide a quick access route to a growing field.

The field of data science has strong growth projections and competitive wages. These aspects make it a viable career path for many driven individuals.

A data science bootcamp is an excellent option for individuals already in the tech field that want to upskill. It can also be a great gateway into the field for people without experience.

Looking at the pros and cons of data science bootcamps will help you determine whether it is the correct path of education for you.

Pros of Data Science Bootcamps

  • Bootcamps are designed and held by industry experts. These professionals use their experience to facilitate relevant and up-to-date data science courses.
  • Bootcamps are generally more flexible: full-time, part-time, and self-paced options are often available. This is especially convenient for people with work or family commitments.
  • Online learning is common for bootcamps, as it is convenient and reduces the cost of studying.
  • The cost of bootcamps is significantly less than full degrees. This makes it an affordable option for people that want to move into the field or expand their skill set.
  • The time it takes to complete a bootcamp is considerably shorter than completing a degree. Degrees can take four years. In comparison, a bootcamp can be completed in just a few months.
  • Because bootcamps are shorter, the skills taught are more focused and precise. Industry experts look at the essential skills required to work as a data scientist.
  • Most bootcamps have a strong focus on careers after graduation. They prepare students for job searches and interviews. They can also help students focus on their portfolios.

Cons of Data Science Bootcamps

  • Data science bootcamps are intensive courses. This can put students under a lot of pressure to immerse themselves fully for the duration of the course.
  • Online learning can lead to feelings of isolation. Sole projects can also lead to this. Making use of support and chat board facilities provided by learning institutions can combat this.
  • Qualifications achieved from bootcamps are not as widely accepted as degrees. It is worth checking with prospective employers whether bootcamp accreditation will be accepted.
  • Specialization is difficult in bootcamps. This is because the course is condensed and focuses on specific and essential elements of data science.

How Much Does A Data Science Bootcamp Cost?

Data science bootcamps vary in cost. When deciding on a bootcamp, it is important that you find one that fits your budget.

The cost of the program will be determined by the institution itself and what is included in the course. On average, you could expect to pay anywhere between $8,000 and $16,500 for a data science bootcamp.

Online courses can offer greater value for money and being able to study from home removes travel costs. It also removes the time needed for commuting which can be applied to study.

Students that study at data science bootcamps will typically have different payment options to choose from.

Data Science Bootcamp Payment Options

While the cost of a data science bootcamp is significantly less than a degree, it can still be a big financial commitment.

Understanding the potential payment methods will help you to decide which best suits your needs.

The most common payment options offered for data science bootcamps include:

Upfront Payment

Paying upfront can be a great option if you have the money and some institutions may offer discounted prices for paying in full.

Upfront payments will also help students avoid fees or interest payments that may come with other options.

Installments

Paying in installments lets students pay more affordable amounts on agreed dates. Additional costs or interest may be added to these kinds of payments, so you should always take the time to read the small print when agreeing to any financial transaction.

Deferred Payment Options

Deferred payments are options that put off payment until the graduate gains employment. There may be salary thresholds that must be met before repayment begins.

Always check whether there are interest costs associated with this. If there are, check whether there is a cap on how much you would pay in total.

Financing

Finance deals or loans can be taken out to cover the cost of the bootcamp. Some institutions offer financing options or have deals with lenders.

It can still be worth checking alternative loan options to see whether you can find more agreeable terms elsewhere.

ISAs (Income Shared Agreements)

Income-shared agreements are similar to deferred payments. They rely on the graduate to gain employment, and an agreed percentage of the graduate’s salary will then go towards repayments.

How To Choose A Data Science Bootcamp

Having a choice of bootcamps gives students more options and allows them to make the right decisions for their preferred career path.

The following considerations will help you choose the best data science bootcamp program.

Consider your career path

Data science bootcamps are designed to prepare students for a career in data science. Because data science can be applied to a number of fields, it is important the course you take teaches the skills you need.

There are many different data science bootcamps, and you will be able to explore the syllabus of each program before applying.

Students can explore the requirements for their desired roles which will help determine which course best meets their needs.

The type of roles you plan to apply for is also important. Whether you want to apply for entry-level positions or more senior roles will determine which course to take.

Assess your existing skills

Your current experience and skill set may affect the programs you can apply for. Some institutions require background knowledge on the subject.

Background knowledge can help students as bootcamp programs are fast-moving and intensive. This means that classes and lecturers move quickly without much time to cover the basics.

Beginner-level programs are available for people without any experience, and this can help people prepare for entry-level positions in the industry.

Narrow down and research programs

Students should take the time to explore all of their available options because there are lots of data science bootcamp programs available. Discounting unsuitable options should leave candidates with a suitable shortlist.

Students can then explore the course contents in more depth to determine the most suitable courses.

Researching the reputation of the institution will also help. Doing this will ensure students enjoy the best learning experience available.

Reading reviews from previous students can be a great way to find out more about the course and institution. Checking to see if the course is accredited by recognized institutions is also important.

Explore course types

The course type will play a big part in whether it suits a student’s needs. Some people may have the time to fully immerse themselves in a subject for months at a time, while other students may have existing responsibilities that require a more flexible approach.

The following course options can be explored:

In-Person

In-person learning requires the student to visit campus for their lessons. This is the least flexible option and requires a significant level of dedication and commitment.

In-person courses can be good for an immersive experience and are also good for face-to-face support.

However, in-person education requires the student to live nearby and pay their own traveling expenses.

Online

Online courses are significantly more convenient for students because they allow people from different locations to enjoy a wider selection of institutions.

Time and money will be saved on travel and can then be dedicated to studying or other responsibilities.

Self-paced online courses allow students to learn at a pace that suits their individual needs. This is perfect for people with children or jobs that can’t dedicate large portions of their day to study.

Online courses still offer support to students, and there will typically be live study groups and sessions with industry experts.

Hybrid

Hybrid courses mix online and in-person learning. This can offer the flexibility of online learning with the option of more structured programs also available.

Budget accordingly

As students create a shortlist of potential data science bootcamp programs, the cost will be a significant factor.

Your budget will determine which institutions are viable and payment options can be considered for more expensive courses which can make payments more manageable.

You should also consider whether you’re applying for scholarships or other benefits that will lower the cost of your education.

Some workplaces can even offer to cover the cost of your education. This can be seen as a developmental cost that benefits the business in the long run.

The Best Data Science Bootcamps

This guide will show students the things to look for when selecting a data science bootcamp.

Exploring all the options available allows students to create a shortlist of the most suitable options.

The following list of U.S. data science bootcamps includes some of the top options the country has to offer. Take a look below for the best bootcamps, and start your new career in data science.

Flatiron School – Data Science Bootcamp

The Flatiron School’s Data Science Bootcamp is an online learning experience that is available to study full-time for 5 months. Alternatively, self-paced part-time courses are available to study over a 10-month period.

The cost for the part-time and full-time courses is $15,000, and self-paced learning is $9,600.

The course is designed to cover key data science topics that prepare applicants for a career change.

A pre-work course is required, and applicants will also need to show some knowledge of data science to be accepted.

Natural language processing and machine learning are also part of the syllabus and Python and SQL will be covered in the course.  An advanced data science project is required at the end of the course.

Career support is provided on the course that gives students the skills to enter the field and gain employment. This bootcamp also provides networking opportunities with potential employers.

CareerFoundry – Data Analytics Bootcamp

The data analytics program by CareerFoundry is a great option for people without experience in the field.

It is not strictly a data science program, but it covers many data science fundamentals.

The course is completely online and costs $6,900. Students have the option of studying full-time for 5 months or taking an 8-month part-time option. This option offers greater flexibility for people with commitments.

Moving from a data analyst position to a data science one is a relatively common career path.

The course covers a range of topics, including:

  • Data Preparation
  • Data Visualization
  • Data Analysis
  • Python
  • SQL

The course offers students the ability to build a strong portfolio, and their dual mentorship model is a unique way for students to gain experience and knowledge from industry experts.

Working with a mentor and tutor provides great support. Experienced career coaches are also on hand to provide the knowledge needed to find a job.

The course has a number of payment methods which makes it more accessible to applicants. Paying upfront will offer students a small discount and helps to reduce the cost for applicants.

A free introductory course lets applicants decide whether it is suitable for them. This is an excellent way to understand more about the course before entering into a financial obligation.

The course also has a money-back deal for students. This is applicable to those that don’t find employment within 6 months of graduation; however, terms and conditions apply to this deal.

WeCloudData – Data Science Bootcamp

WeCloudData is an online learning institution that is best known for its tech-based bootcamps and diplomas. They offer a range of sequential courses that can help students follow a structured path to a career in data science.

Part-time and full-time bootcamp options are available costing $8,000 and $12,500 respectively.

The data science program is structured for intermediate learners. The course syllabus is designed by industry experts, hiring managers, and data scientists, ensuring the content is up-to-date and relevant to the industry.

NYC Data Science Academy – Data Science Bootcamp

The NYC Data Science Academy has a range of options for students and their data science bootcamps can be studied online and in person. The full-time course length is 12 weeks; alternatively, the online program can be studied part-time for 4 to 6 months.

The course is one of the more expensive options at $17,600. There is a selection of payment options that makes the course accessible to more students.

The course requires students to complete four major projects, and the final project is typically sponsored by local NYC companies.

The career support offered by this institution is second to none. Graduates enjoy lifelong support with the NYC Data Science Academy, whereas most institutions only offer support and advice for the duration of the course.

SIT Academy – Data Science Bootcamp

The SIT Academy is an international institution that offers remote and in-person learning opportunities.

In-person lessons are located in Munich, Germany, and the cost of the campus-based learning experience is $12,389. However, relocating to a different continent might not be to everyone’s tastes.

Thankfully, the 12-week course can be studied remotely, and the cost of the online course is $13,448.

The three-month course includes a range of topics essential to data science. These include:

  • Machine Learning
  • Statistics
  • Deep Learning
  • Natural Language Processing
  • Python

A final project is required for graduation which allows students to collaborate with industry professionals.

General Assembly – Immersive Data Science Bootcamp

General Assembly Data offers an immersive online data science program and takes around 3 months to complete.

Real-time, online lessons connect students with one another and make instructor support accessible.

The course is designed for intermediate-level students and requires a background in mathematics and an understanding of Python.

The course costs $15,950 and covers a range of topics that are essential for data science.

Five projects are required through the 12-week course. Students will be able to build a strong portfolio that can help with future job opportunities.

CodingNomads – Data Science Bootcamp

CodingNomads provide another international online learning experience. The 12-week data science program costs $2,499 and is a relatively low-cost option that has financing options.

The intensive program requires 5 to 15 hours of work per week and culminates in a project that sees students create machine learning models.

The intensive learning program provides mentor support to ensure students don’t feel isolated from distance learning.

Udemy – The Complete Data Science Bootcamp

Udemy offers a short beginners data science bootcamp program that is ideal for people looking to get started in data science.

The flexible course is completely online and takes roughly 29 hours, and the $130 cost makes it an affordable introduction to the field.

The course is a self-paced model that ensures students can fit it in around existing commitments.

The program starts with a range of downloadable resources and video lessons, and it also covers specifics required for the field. These include statistical analysis, deep learning, and Python.

Practicum – Bootcamp for Data Scientists

Practicum offers a data science bootcamp that lasts nine months, is studied online, and can be studied full or part-time. Practicum is known for its digital reskilling programs that also cover data analytics.

Categories covered by the data science bootcamp include:

  • Statistical Hypothesis Testing
  • Python
  • Essential Libraries
  • Data Visualization
  • Deep Learning
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • SQL

The cost of the data science bootcamp is $11,000 which is a mid-level price for data science bootcamps. It also offers great value for money due to the length of the course.

Thinkful – Flexible Data Science

Thinkful’s Data Science Bootcamp is an excellent online option that offers students flexibility with a part-time course that lasts for six months and costs $7,990. The self-paced course is perfect for students that have existing commitments.

Students are supported by one-to-one mentoring sessions over the duration of the course.

On graduating, students will have built a detailed portfolio that equips them for entering the job market.

This option has a great money-back guarantee if graduates can’t find employment within six months.

Data Science Dojo – Data Science Bootcamp

The Data Science Dojo program is a short and intensive option. It lasts just five days and is designed for all skill levels, which makes it beneficial for people already in the tech industry. It can allow students to upskill and ensure they have the latest data science skills.

Data Science Dojo offers in-person study options in a number of U.S. cities. These include:

  • Washington D.C.
  • Austin, Texas
  • New York City
  • Albuquerque, New Mexico

Various packages are available from Data Science Dojo. The price of these can vary between £2,799 and $9,999.

Brainstation – Data Science Bootcamp

The Brainstation Data Science Bootcamp is an online learning experience that lasts for 12 weeks.

The full-time course costs $15,000 and is designed to cover everything students need to enter the field.

The program has a detailed syllabus and offers detailed career services. Lessons are conducted through virtual classrooms and opportunities to work with other students improves your collaboration and teamwork skills.

Topics covered in the class include:

  • Machine Learning Techniques
  • Data Fundamentals
  • Big Data

The course also provides networking opportunities with data science industry professionals.

Coding Temple – Python and Data Science Bootcamp

Coding Temple’s Python and Data Science Bootcamp is an intensive online course that lasts ten weeks and costs $14,995.

The full-stack development program is collated and taught by experienced data science instructors.

The course covers a number of essential data science topics, including:

  • Essential Tools
  • Data Visualization
  • Data Science Technologies
  • Data Analytics
  • Databases
  • Frameworks
  • DRY Code
  • Libraries

Springboard – Data Science Career Track

Springboard’s Data Science Career Track program is a six-month online option.

The course is part-time and offers greater flexibility to students looking for data science skills.

For $11,340, students will enjoy project-based curriculums. One-to-one mentor meetings are unlimited as well which is a great benefit, as some programs limit one-to-one support.

The 18-unit curriculum covers data science essentials. This includes:

  • Data Gathering
  • Data Analytics
  • Communication Skills
  • Machine Learning
  • Statistical Analysis

There are course requirements for the Springboard Data Science Bootcamp including a minimum of six months of coding experience. Applicants must also have a good understanding of descriptive statistics and basic probability.

This course offers a money-back guarantee if graduates are unable to find employment. The money-back offer has a number of terms and conditions that must be adhered to.

The Dev Masters – Applied Data Science with Deep Learning

The Dev Masters offer in-person data science bootcamps in Los Angeles, Santa Monica, and Orange County.

There is a range of data science programs available from the Dev Masters. These include:

  • Data Science for Professionals – $4,995
  • Project-Based Data Science Learning – Up to $5,995
  • Mastering Applied Data Science – $9,995
  • Mastering Applied Data Science & Deep Learning – $14,995

The Mastering Applied Data Science with Deep Learning program takes 16 weeks while the Data Science for Professionals program lasts just one week.

Requirements include basic Python experience, and applicants should also have some machine-learning experience.

Dataquest – Data Science Learning Path

Dataquest offers a subscription-based learning experience that provides flexibility and makes it an affordable option.

The online course is self-paced and costs from $29 to $49 per month, and is designed to guide beginners through the fundamental skills required for data science careers.

The course covers a range of essential topics that include:

  • Data Cleaning
  • Data Analytics
  • SQL
  • Python Fundamentals
  • Statistical Analysis
  • Machine Learning

It is an excellent option for people with no experience. The low-cost and flexible learning options give applicants the potential to enter the field.

It is worth noting that students will learn independently and won’t have the support of a mentor on this course.

Metis – Data Science Bootcamp

Metis is an online learning institution that offers a range of bootcamp learning experiences including data science and data analytics.

Industry insiders design and teach courses that cover a range of essential skills. These include:

  • Linear Regression
  • Algorithms
  • Python
  • Natural Language Processing
  • Machine Learning
  • Data Visualization
  • Data Analytics
  • Databases

Courses range in duration from 6 to 28 weeks, with fees from just $740 to $14,000. This can allow students to build a strong portfolio of essential data science skills.

Career services and support are also provided which can improve employment opportunities for graduates.

INE – Data Science Courses

INE offers a self-paced data science learning experience. The online study facility provides a range of data science programs that can be studied individually or as part of a wider education.

The courses are laid out in a way that allows students to create logical study paths.

Introductory courses are designed to give students fundamental data science knowledge essential to entering the field.

A range of online video lessons, exercises, and projects are provided to improve the learning experience.

Students can choose to pay a $49 subscription or $499 for the year, making it an affordable way to enter the field of data science.

RMOTR – Data Science Bootcamp

Data science bootcamps available from RMOTR are online learning experiences that take 16 weeks to complete and require around 20 hours of coursework per week.

The cost of the course is a competitive $1,099, making it one of the more affordable ways to learn essential data science skills.

Students must attend two live online courses every week that are held by teachers.

Post-grad support and mentors are on hand during the course to ensure students have everything they need to succeed during the course and beyond.

Galvanize – Immersive Online Data Science Bootcamp

The Galvanize Immersive Online Data Science Bootcamp is one of the more expensive options. The 13-week program costs $17,890.

Payment options give access to people that can’t afford the upfront costs, and deferred payments can be agreed upon. This allows graduates to start repayments when starting employment.

There are entry requirements for the course that include a technical interview and experience in Python programming.

A pre-course is also required and has been designed to provide students with the fundamental skills required for further education.

The topics studied in the course are essential for a data science career and include Python and machine learning.

Graduates are presented with participation certificates, and the course is perfect for students that benefit from an immersive learning experience. It provides essential portfolio development that is beneficial to starting out in the field.

Datacamp – Data Scientist with Python Career Track

The Datacamp Data Scientist with Python Career Track option is an affordable online program.

The subscription-based model costs $12.42 per month. The premium option is $33.25, and the professional program is $25.

The course takes 88 hours to complete, and there are no entry requirements.

The self-paced course offers students the opportunity to plan their own learning, and there is a strong focus on popular technologies. These include:

  • Matplotlib
  • NumPy
  • Python

Students must complete six projects for the course which provides them with valuable experience.

The free trial available for this course is a great way for students to learn whether this course is right for them.

The Data Incubator – Data Science Program

The Data Incubator’s data science fellowship program is an excellent option because students can choose between the full-time eight-week and part-time 20-week course.

Course costs are $10,000, and provide a verified participation certificate. Entry requirements for the course include either a master’s degree or a Ph.D. degree.

The bootcamp is an immersive learning environment and is taught by high-quality instructors that cover a range of skills. These include:

  • NumPy
  • Git
  • TensorFlow
  • Jupyter
  • Python

The projects carried out make use of real-world business data, providing students with a high level of experience.

AllWomen – Data Science Bootcamp

AllWomen provides a unique international learning experience as it is designed exclusively for women.

AllWomen is located in Barcelona and offers online tech courses. The business encourages greater gender diversity in a typically male-dominated industry.

The courses don’t require experience and offer great mentorship support. There are also networking opportunities and career readiness training throughout the program.

The immersive data science bootcamp costs around $7,500 and equips students with an understanding of:

  • Data Structures
  • Data Visualization
  • Data Analytics
  • Artificial Intelligence
  • Machine Learning
  • Algorithms
  • Python

Tailored portfolios can be built throughout the course. There is also a mandatory, two-week prep course to ready students for careers as data scientists.

Clarusway – Data Science Bootcamp

Clarusway is an online IT training school that is based in Virginia and offers a 26-week, premium data science course. The course includes an IT Fundamentals course that lasts for 12 weeks which applicants with sufficient qualifications can bypass.

The skills learned during the course include:

  • Data Preparation
  • Data Analytics
  • Visualization
  • Machine Learning
  • Algorithms
  • Deep Learning

As well as essential data science skills, students will also benefit from the bootcamp’s career services. The career services provided help students learn interviewing and real-world skills to prepare them for entering the job market.

Codeup – Data Science Bootcamp

The Codeup Data Science Bootcamp is a full-time, in-person course based in San Antonio, Dallas.

Training lasts for 22 weeks and requires a weekly time commitment of around 40 hours.

The cost of the course is $27,500, making it one of the most expensive options. Financing and scholarship options can be explored to make the course more accessible.

Students will learn a selection of data science skills, including:

  • Data Wrangling
  • Data Storytelling
  • Data Exploration
  • SQL
  • Python
  • Machine Learning

The immersive course also offers a refund program. This is based on the graduates getting job offers within six months.

Colaberry – Data Science Bootcamp

This is a Dallas-based institution that offers part-time courses that last for eight weeks.

The bootcamp prepares students for a career as a data scientist and the skills covered in the course include:

  • Machine Learning
  • Python
  • Advanced Mathematics
  • Statistics

Support is provided to graduates for one year after course completion, including on-the-job support.

Scholarships are available for some active and retired military personnel, which can reduce costs by as much as 50%.

Entry requirements for the course include high school diplomas or GEDs.

Correlation One – Data Science Bootcamps

Correlation One offers a selection of data science bootcamps, including generalized courses and more targeted programs for specific demographics.

Their women’s courses, for example, are designed to increase the number of female data scientists in the field.

13-week courses, taught by experts from MIT, Harvard, and Columbia, require around 15 hours of study per week. Placement tests help applicants determine which course is best suited to their needs and goals.

Students will learn the fundamentals of data science and key skills for the field, including:

  • Data Analysis
  • Python
  • SQL
  • Artificial Intelligence
  • Machine Learning

Real data sets are used to create projects to provide students with real-world experience that can be included in portfolios.

Georgia Tech – Data Science & Visualization Bootcamp

The Georgia Tech Bootcamp is a fast-paced, immersive learning experience.

The online course is spread over 24 weeks, and students will learn the technical skills required for the role of a data scientist.

Many current data science technologies are covered in the course. These include:

  • Python
  • Excel
  • JavaScript Charting
  • R Programming
  • SQL Database
  • Machine Learning
  • Tableau

The course costs $10,000. However, there are different payment options available for people who aren’t able to pay in full upfront.

Northwestern – Data Science and Visualization Bootcamp

Northwestern is an online learning institution that is located in Chicago. The fast-paced course is taught over 24 weeks, and students are expected to study for roughly nine hours per week on the part-time course.

The cost of $12,995 can be spread or paid in full, which makes it more accessible for candidates.

The course is designed for beginner-level learning, making it ideal for people that are looking to enter the field with little or no experience.

Real data sets are used for course projects and provide students with valuable data science experience which can improve their job prospects after graduation.

Rutgers – Data Science and Visualization

Rutgers Bootcamps is located in Jersey City and is an institution that offers a range of full and part-time courses.

The Data Science and Visualization Bootcamp is an immersive learning experience.

It is a part-time course that lasts for 24 weeks with a study time of around ten hours per week. The cost of the program is $12,495, and payment plans are available to make courses more accessible for students.

Applicants will benefit from the fundamental skills required in data science that is covered in the intensive learning program.

FAQs

How can I save money on data science bootcamps?

Data science bootcamps are more affordable than studying for a degree, but they aren’t cheap.

Exploring options that can reduce the average cost of educational programs is beneficial. Some options include employer reimbursement, scholarships, and minority programs, although these won’t be available in all institutions or for all candidates.

Employer reimbursement is when a workplace pays for an employee’s further education – a great way to develop your career in data science.

Some minority programs are in place to help under-represented demographics enter certain industries. This can be a great way to enjoy discounted learning opportunities.

Is there a shortage of data scientists in the US?

In October 2022, Forbes published an article looking at the data science talent gap.

It explained that due to projected growth, there might be a shortage of data scientists in the U.S. for available roles.

This is great news for data scientists who find themselves in high demand. It also makes it an attractive career path for many students.

With more job openings than qualified data scientists, qualified applicants are at an advantage. Many graduates find themselves spoilt for choice with the number of job opportunities open to them, as well as the potential for wage negotiations with existing employers.

Can I work abroad as a data scientist?

Working abroad is possible as a data scientist because of the skills and job opportunities available.

Education and experience in data science can provide wide and varied job opportunities. The field itself is relatively diverse, and the skills can be applied to many industries.

This makes it great for people that want to move to different countries. The skills learned, and roles carried out in the U.S. are transferrable across the world.

This opens up a world of opportunities for people that study data science and achieve the relevant qualifications.

Is data science a stressful field?

Data science is a fast-paced and challenging career choice. However, accurate information can be required on strict deadlines, and not everyone thrives under pressure.

The way businesses manage workloads will dictate stress levels. Taking the time to research potential employers is important for applicants to find out more about workplace culture.

Do data scientists work in teams or on their own?

Data scientists often work in teams and regularly collaborate with other departments in businesses.

Occasionally there may be solo tasks or positions, depending on the work that needs to be carried out.

The ability to work well in a team and individually towards a shared goal is essential to data science.

Conclusion

Statistics project significant growth in the field of data science, making it an attractive option for people looking for a new career path.

Data science bootcamps can be a great way to learn the required skills in less time than it takes to complete a degree and can also help students save money on university costs.

These intensive programs help people in similar fields hone their skills and advance their careers – or give them the knowledge to switch fields. They also equip job-seekers with the knowledge required for entry-level positions.

The U.S. has a high volume of data science positions, and the projected growth of the industry indicates it will be a good career path for the foreseeable future.

The U.S. Bureau of Labor Statistics places the average annual pay of data scientists as over $100,000 per year for 2021. This is almost double the average annual wage in the U.S. of $58,260.

Taking a data science bootcamp is an excellent step towards a career with great job prospects and excellent wages.

The list of U.S. data science bootcamps above will help you find the perfect course for your needs, whether you’re interested in healthcare, marketing, or business analytics.

The range of online and in-person programs has varying fees and timescales for graduation. Many courses try to accommodate aspiring data analysts and other professionals with payment plans.

This extensive choice of courses provides students with excellent job options and prospects.

Sources

https://www.coursereport.com/best-data-science-bootcamps

https://www.cio.com/article/240719/10-boot-camps-to-kick-start-your-data-science-career.html

https://careerfoundry.com/en/blog/data-analytics/data-science-bootcamps/

https://www.intelligent.com/best-online-courses/data-science-bootcamps/

https://brainstation.io/course/online/remote-data-science-bootcamp

https://www.coursera.org/articles/data-science-bootcamp

https://www.bls.gov/ooh/math/data-scientists.htm

https://www.bls.gov/oes/current/oes152051.htm

https://www.bls.gov/oes/current/oes_nat.htm

Hybrid courses mix online and in-person learning. This can offer the flexibility of online learning with the option of more structured programs also available.

Budget accordingly

As students create a shortlist of potential data science bootcamp programs, the cost will be a significant factor.

Your budget will determine which institutions are viable and payment options can be considered for more expensive courses which can make payments more manageable.

You should also consider whether you’re applying for scholarships or other benefits that will lower the cost of your education.

Some workplaces can even offer to cover the cost of your education. This can be seen as a developmental cost that benefits the business in the long run.

The Best Data Science Bootcamps

This guide will show students the things to look for when selecting a data science bootcamp.

Exploring all the options available allows students to create a shortlist of the most suitable options.

The following list of U.S. data science bootcamps includes some of the top options the country has to offer. Take a look below for the best bootcamps, and start your new career in data science.

Flatiron School – Data Science Bootcamp

The Flatiron School’s Data Science Bootcamp is an online learning experience that is available to study full-time for 5 months. Alternatively, self-paced part-time courses are available to study over a 10-month period.

The cost for the part-time and full-time courses is $15,000, and self-paced learning is $9,600.

The course is designed to cover key data science topics that prepare applicants for a career change.

A pre-work course is required, and applicants will also need to show some knowledge of data science to be accepted.

Natural language processing and machine learning are also part of the syllabus and Python and SQL will be covered in the course.  An advanced data science project is required at the end of the course.

Career support is provided on the course that gives students the skills to enter the field and gain employment. This bootcamp also provides networking opportunities with potential employers.

CareerFoundry – Data Analytics Bootcamp

The data analytics program by CareerFoundry is a great option for people without experience in the field.

It is not strictly a data science program, but it covers many data science fundamentals.

The course is completely online and costs $6,900. Students have the option of studying full-time for 5 months or taking an 8-month part-time option. This option offers greater flexibility for people with commitments.

Moving from a data analyst position to a data science one is a relatively common career path.

The course covers a range of topics, including:

  • Data Preparation
  • Data Visualization
  • Data Analysis
  • Python
  • SQL

The course offers students the ability to build a strong portfolio, and their dual mentorship model is a unique way for students to gain experience and knowledge from industry experts.

Working with a mentor and tutor provides great support. Experienced career coaches are also on hand to provide the knowledge needed to find a job.

The course has a number of payment methods which makes it more accessible to applicants. Paying upfront will offer students a small discount and helps to reduce the cost for applicants.

A free introductory course lets applicants decide whether it is suitable for them. This is an excellent way to understand more about the course before entering into a financial obligation.

The course also has a money-back deal for students. This is applicable to those that don’t find employment within 6 months of graduation; however, terms and conditions apply to this deal.

WeCloudData – Data Science Bootcamp

WeCloudData is an online learning institution that is best known for its tech-based bootcamps and diplomas. They offer a range of sequential courses that can help students follow a structured path to a career in data science.

Part-time and full-time bootcamp options are available costing $8,000 and $12,500 respectively.

The data science program is structured for intermediate learners. The course syllabus is designed by industry experts, hiring managers, and data scientists, ensuring the content is up-to-date and relevant to the industry.

NYC Data Science Academy – Data Science Bootcamp

The NYC Data Science Academy has a range of options for students and their data science bootcamps can be studied online and in person. The full-time course length is 12 weeks; alternatively, the online program can be studied part-time for 4 to 6 months.

The course is one of the more expensive options at $17,600. There is a selection of payment options that makes the course accessible to more students.

The course requires students to complete four major projects, and the final project is typically sponsored by local NYC companies.

The career support offered by this institution is second to none. Graduates enjoy lifelong support with the NYC Data Science Academy, whereas most institutions only offer support and advice for the duration of the course.

SIT Academy – Data Science Bootcamp

The SIT Academy is an international institution that offers remote and in-person learning opportunities.

In-person lessons are located in Munich, Germany, and the cost of the campus-based learning experience is $12,389. However, relocating to a different continent might not be to everyone’s tastes.

Thankfully, the 12-week course can be studied remotely, and the cost of the online course is $13,448.

The three-month course includes a range of topics essential to data science. These include:

  • Machine Learning
  • Statistics
  • Deep Learning
  • Natural Language Processing
  • Python

A final project is required for graduation which allows students to collaborate with industry professionals.

General Assembly – Immersive Data Science Bootcamp

General Assembly Data offers an immersive online data science program and takes around 3 months to complete.

Real-time, online lessons connect students with one another and make instructor support accessible.

The course is designed for intermediate-level students and requires a background in mathematics and an understanding of Python.

The course costs $15,950 and covers a range of topics that are essential for data science.

Five projects are required through the 12-week course. Students will be able to build a strong portfolio that can help with future job opportunities.

CodingNomads – Data Science Bootcamp

CodingNomads provide another international online learning experience. The 12-week data science program costs $2,499 and is a relatively low-cost option that has financing options.

The intensive program requires 5 to 15 hours of work per week and culminates in a project that sees students create machine learning models.

The intensive learning program provides mentor support to ensure students don’t feel isolated from distance learning.

Udemy – The Complete Data Science Bootcamp

Udemy offers a short beginners data science bootcamp program that is ideal for people looking to get started in data science.

The flexible course is completely online and takes roughly 29 hours, and the $130 cost makes it an affordable introduction to the field.

The course is a self-paced model that ensures students can fit it in around existing commitments.

The program starts with a range of downloadable resources and video lessons, and it also covers specifics required for the field. These include statistical analysis, deep learning, and Python.

Practicum – Bootcamp for Data Scientists

Practicum offers a data science bootcamp that lasts nine months, is studied online, and can be studied full or part-time. Practicum is known for its digital reskilling programs that also cover data analytics.

Categories covered by the data science bootcamp include:

  • Statistical Hypothesis Testing
  • Python
  • Essential Libraries
  • Data Visualization
  • Deep Learning
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • SQL

The cost of the data science bootcamp is $11,000 which is a mid-level price for data science bootcamps. It also offers great value for money due to the length of the course.

Thinkful – Flexible Data Science

Thinkful’s Data Science Bootcamp is an excellent online option that offers students flexibility with a part-time course that lasts for six months and costs $7,990. The self-paced course is perfect for students that have existing commitments.

Students are supported by one-to-one mentoring sessions over the duration of the course.

On graduating, students will have built a detailed portfolio that equips them for entering the job market.

This option has a great money-back guarantee if graduates can’t find employment within six months.

Data Science Dojo – Data Science Bootcamp

The Data Science Dojo program is a short and intensive option. It lasts just five days and is designed for all skill levels, which makes it beneficial for people already in the tech industry. It can allow students to upskill and ensure they have the latest data science skills.

Data Science Dojo offers in-person study options in a number of U.S. cities. These include:

  • Washington D.C.
  • Austin, Texas
  • New York City
  • Albuquerque, New Mexico

Various packages are available from Data Science Dojo. The price of these can vary between £2,799 and $9,999.

Brainstation – Data Science Bootcamp

The Brainstation Data Science Bootcamp is an online learning experience that lasts for 12 weeks.

The full-time course costs $15,000 and is designed to cover everything students need to enter the field.

The program has a detailed syllabus and offers detailed career services. Lessons are conducted through virtual classrooms and opportunities to work with other students improves your collaboration and teamwork skills.

Topics covered in the class include:

  • Machine Learning Techniques
  • Data Fundamentals
  • Big Data

The course also provides networking opportunities with data science industry professionals.

Coding Temple – Python and Data Science Bootcamp

Coding Temple’s Python and Data Science Bootcamp is an intensive online course that lasts ten weeks and costs $14,995.

The full-stack development program is collated and taught by experienced data science instructors.

The course covers a number of essential data science topics, including:

  • Essential Tools
  • Data Visualization
  • Data Science Technologies
  • Data Analytics
  • Databases
  • Frameworks
  • DRY Code
  • Libraries

Springboard – Data Science Career Track

Springboard’s Data Science Career Track program is a six-month online option.

The course is part-time and offers greater flexibility to students looking for data science skills.

For $11,340, students will enjoy project-based curriculums. One-to-one mentor meetings are unlimited as well which is a great benefit, as some programs limit one-to-one support.

The 18-unit curriculum covers data science essentials. This includes:

  • Data Gathering
  • Data Analytics
  • Communication Skills
  • Machine Learning
  • Statistical Analysis

There are course requirements for the Springboard Data Science Bootcamp including a minimum of six months of coding experience. Applicants must also have a good understanding of descriptive statistics and basic probability.

This course offers a money-back guarantee if graduates are unable to find employment. The money-back offer has a number of terms and conditions that must be adhered to.

The Dev Masters – Applied Data Science with Deep Learning

The Dev Masters offer in-person data science bootcamps in Los Angeles, Santa Monica, and Orange County.

There is a range of data science programs available from the Dev Masters. These include:

  • Data Science for Professionals – $4,995
  • Project-Based Data Science Learning – Up to $5,995
  • Mastering Applied Data Science – $9,995
  • Mastering Applied Data Science & Deep Learning – $14,995

The Mastering Applied Data Science with Deep Learning program takes 16 weeks while the Data Science for Professionals program lasts just one week.

Requirements include basic Python experience, and applicants should also have some machine-learning experience.

Dataquest – Data Science Learning Path

Dataquest offers a subscription-based learning experience that provides flexibility and makes it an affordable option.

The online course is self-paced and costs from $29 to $49 per month, and is designed to guide beginners through the fundamental skills required for data science careers.

The course covers a range of essential topics that include:

  • Data Cleaning
  • Data Analytics
  • SQL
  • Python Fundamentals
  • Statistical Analysis
  • Machine Learning

It is an excellent option for people with no experience. The low-cost and flexible learning options give applicants the potential to enter the field.

It is worth noting that students will learn independently and won’t have the support of a mentor on this course.

Metis – Data Science Bootcamp

Metis is an online learning institution that offers a range of bootcamp learning experiences including data science and data analytics.

Industry insiders design and teach courses that cover a range of essential skills. These include:

  • Linear Regression
  • Algorithms
  • Python
  • Natural Language Processing
  • Machine Learning
  • Data Visualization
  • Data Analytics
  • Databases

Courses range in duration from 6 to 28 weeks, with fees from just $740 to $14,000. This can allow students to build a strong portfolio of essential data science skills.

Career services and support are also provided which can improve employment opportunities for graduates.

INE – Data Science Courses

INE offers a self-paced data science learning experience. The online study facility provides a range of data science programs that can be studied individually or as part of a wider education.

The courses are laid out in a way that allows students to create logical study paths.

Introductory courses are designed to give students fundamental data science knowledge essential to entering the field.

A range of online video lessons, exercises, and projects are provided to improve the learning experience.

Students can choose to pay a $49 subscription or $499 for the year, making it an affordable way to enter the field of data science.

RMOTR – Data Science Bootcamp

Data science bootcamps available from RMOTR are online learning experiences that take 16 weeks to complete and require around 20 hours of coursework per week.

The cost of the course is a competitive $1,099, making it one of the more affordable ways to learn essential data science skills.

Students must attend two live online courses every week that are held by teachers.

Post-grad support and mentors are on hand during the course to ensure students have everything they need to succeed during the course and beyond.

Galvanize – Immersive Online Data Science Bootcamp

The Galvanize Immersive Online Data Science Bootcamp is one of the more expensive options. The 13-week program costs $17,890.

Payment options give access to people that can’t afford the upfront costs, and deferred payments can be agreed upon. This allows graduates to start repayments when starting employment.

There are entry requirements for the course that include a technical interview and experience in Python programming.

A pre-course is also required and has been designed to provide students with the fundamental skills required for further education.

The topics studied in the course are essential for a data science career and include Python and machine learning.

Graduates are presented with participation certificates, and the course is perfect for students that benefit from an immersive learning experience. It provides essential portfolio development that is beneficial to starting out in the field.

Datacamp – Data Scientist with Python Career Track

The Datacamp Data Scientist with Python Career Track option is an affordable online program.

The subscription-based model costs $12.42 per month. The premium option is $33.25, and the professional program is $25.

The course takes 88 hours to complete, and there are no entry requirements.

The self-paced course offers students the opportunity to plan their own learning, and there is a strong focus on popular technologies. These include:

  • Matplotlib
  • NumPy
  • Python

Students must complete six projects for the course which provides them with valuable experience.

The free trial available for this course is a great way for students to learn whether this course is right for them.

The Data Incubator – Data Science Program

The Data Incubator’s data science fellowship program is an excellent option because students can choose between the full-time eight-week and part-time 20-week course.

Course costs are $10,000, and provide a verified participation certificate. Entry requirements for the course include either a master’s degree or a Ph.D. degree.

The bootcamp is an immersive learning environment and is taught by high-quality instructors that cover a range of skills. These include:

  • NumPy
  • Git
  • TensorFlow
  • Jupyter
  • Python

The projects carried out make use of real-world business data, providing students with a high level of experience.

AllWomen – Data Science Bootcamp

AllWomen provides a unique international learning experience as it is designed exclusively for women.

AllWomen is located in Barcelona and offers online tech courses. The business encourages greater gender diversity in a typically male-dominated industry.

The courses don’t require experience and offer great mentorship support. There are also networking opportunities and career readiness training throughout the program.

The immersive data science bootcamp costs around $7,500 and equips students with an understanding of:

  • Data Structures
  • Data Visualization
  • Data Analytics
  • Artificial Intelligence
  • Machine Learning
  • Algorithms
  • Python

Tailored portfolios can be built throughout the course. There is also a mandatory, two-week prep course to ready students for careers as data scientists.

Clarusway – Data Science Bootcamp

Clarusway is an online IT training school that is based in Virginia and offers a 26-week, premium data science course. The course includes an IT Fundamentals course that lasts for 12 weeks which applicants with sufficient qualifications can bypass.

The skills learned during the course include:

  • Data Preparation
  • Data Analytics
  • Visualization
  • Machine Learning
  • Algorithms
  • Deep Learning

As well as essential data science skills, students will also benefit from the bootcamp’s career services. The career services provided help students learn interviewing and real-world skills to prepare them for entering the job market.

Codeup – Data Science Bootcamp

The Codeup Data Science Bootcamp is a full-time, in-person course based in San Antonio, Dallas.

Training lasts for 22 weeks and requires a weekly time commitment of around 40 hours.

The cost of the course is $27,500, making it one of the most expensive options. Financing and scholarship options can be explored to make the course more accessible.

Students will learn a selection of data science skills, including:

  • Data Wrangling
  • Data Storytelling
  • Data Exploration
  • SQL
  • Python
  • Machine Learning

The immersive course also offers a refund program. This is based on the graduates getting job offers within six months.

Colaberry – Data Science Bootcamp

This is a Dallas-based institution that offers part-time courses that last for eight weeks.

The bootcamp prepares students for a career as a data scientist and the skills covered in the course include:

  • Machine Learning
  • Python
  • Advanced Mathematics
  • Statistics

Support is provided to graduates for one year after course completion, including on-the-job support.

Scholarships are available for some active and retired military personnel, which can reduce costs by as much as 50%.

Entry requirements for the course include high school diplomas or GEDs.

Correlation One – Data Science Bootcamps

Correlation One offers a selection of data science bootcamps, including generalized courses and more targeted programs for specific demographics.

Their women’s courses, for example, are designed to increase the number of female data scientists in the field.

13-week courses, taught by experts from MIT, Harvard, and Columbia, require around 15 hours of study per week. Placement tests help applicants determine which course is best suited to their needs and goals.

Students will learn the fundamentals of data science and key skills for the field, including:

  • Data Analysis
  • Python
  • SQL
  • Artificial Intelligence
  • Machine Learning

Real data sets are used to create projects to provide students with real-world experience that can be included in portfolios.

Georgia Tech – Data Science & Visualization Bootcamp

The Georgia Tech Bootcamp is a fast-paced, immersive learning experience.

The online course is spread over 24 weeks, and students will learn the technical skills required for the role of a data scientist.

Many current data science technologies are covered in the course. These include:

  • Python
  • Excel
  • JavaScript Charting
  • R Programming
  • SQL Database
  • Machine Learning
  • Tableau

The course costs $10,000. However, there are different payment options available for people who aren’t able to pay in full upfront.

Northwestern – Data Science and Visualization Bootcamp

Northwestern is an online learning institution that is located in Chicago. The fast-paced course is taught over 24 weeks, and students are expected to study for roughly nine hours per week on the part-time course.

The cost of $12,995 can be spread or paid in full, which makes it more accessible for candidates.

The course is designed for beginner-level learning, making it ideal for people that are looking to enter the field with little or no experience.

Real data sets are used for course projects and provide students with valuable data science experience which can improve their job prospects after graduation.

Rutgers – Data Science and Visualization

Rutgers Bootcamps is located in Jersey City and is an institution that offers a range of full and part-time courses.

The Data Science and Visualization Bootcamp is an immersive learning experience.

It is a part-time course that lasts for 24 weeks with a study time of around ten hours per week. The cost of the program is $12,495, and payment plans are available to make courses more accessible for students.

Applicants will benefit from the fundamental skills required in data science that is covered in the intensive learning program.

FAQs

How can I save money on data science bootcamps?

Data science bootcamps are more affordable than studying for a degree, but they aren’t cheap.

Exploring options that can reduce the average cost of educational programs is beneficial. Some options include employer reimbursement, scholarships, and minority programs, although these won’t be available in all institutions or for all candidates.

Employer reimbursement is when a workplace pays for an employee’s further education – a great way to develop your career in data science.

Some minority programs are in place to help under-represented demographics enter certain industries. This can be a great way to enjoy discounted learning opportunities.

Is there a shortage of data scientists in the US?

In October 2022, Forbes published an article looking at the data science talent gap.

It explained that due to projected growth, there might be a shortage of data scientists in the U.S. for available roles.

This is great news for data scientists who find themselves in high demand. It also makes it an attractive career path for many students.

With more job openings than qualified data scientists, qualified applicants are at an advantage. Many graduates find themselves spoilt for choice with the number of job opportunities open to them, as well as the potential for wage negotiations with existing employers.

Can I work abroad as a data scientist?

Working abroad is possible as a data scientist because of the skills and job opportunities available.

Education and experience in data science can provide wide and varied job opportunities. The field itself is relatively diverse, and the skills can be applied to many industries.

This makes it great for people that want to move to different countries. The skills learned, and roles carried out in the U.S. are transferrable across the world.

This opens up a world of opportunities for people that study data science and achieve the relevant qualifications.

Is data science a stressful field?

Data science is a fast-paced and challenging career choice. However, accurate information can be required on strict deadlines, and not everyone thrives under pressure.

The way businesses manage workloads will dictate stress levels. Taking the time to research potential employers is important for applicants to find out more about workplace culture.

Do data scientists work in teams or on their own?

Data scientists often work in teams and regularly collaborate with other departments in businesses.

Occasionally there may be solo tasks or positions, depending on the work that needs to be carried out.

The ability to work well in a team and individually towards a shared goal is essential to data science.

Conclusion

Statistics project significant growth in the field of data science, making it an attractive option for people looking for a new career path.

Data science bootcamps can be a great way to learn the required skills in less time than it takes to complete a degree and can also help students save money on university costs.

These intensive programs help people in similar fields hone their skills and advance their careers – or give them the knowledge to switch fields. They also equip job-seekers with the knowledge required for entry-level positions.

The U.S. has a high volume of data science positions, and the projected growth of the industry indicates it will be a good career path for the foreseeable future.

The U.S. Bureau of Labor Statistics places the average annual pay of data scientists as over $100,000 per year for 2021. This is almost double the average annual wage in the U.S. of $58,260.

Taking a data science bootcamp is an excellent step towards a career with great job prospects and excellent wages.

The list of U.S. data science bootcamps above will help you find the perfect course for your needs, whether you’re interested in healthcare, marketing, or business analytics.

The range of online and in-person programs has varying fees and timescales for graduation. Many courses try to accommodate aspiring data analysts and other professionals with payment plans.

This extensive choice of courses provides students with excellent job options and prospects.

Sources

https://www.coursereport.com/best-data-science-bootcamps

https://www.cio.com/article/240719/10-boot-camps-to-kick-start-your-data-science-career.html

https://careerfoundry.com/en/blog/data-analytics/data-science-bootcamps/

https://www.intelligent.com/best-online-courses/data-science-bootcamps/

https://brainstation.io/course/online/remote-data-science-bootcamp

https://www.coursera.org/articles/data-science-bootcamp

https://www.bls.gov/ooh/math/data-scientists.htm

https://www.bls.gov/oes/current/oes152051.htm

https://www.bls.gov/oes/current/oes_nat.htm