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Career tracks

Our career tracks are hand-picked by industry experts. You will learn all you need to start a new career in the data science field.

Career
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R Programmer

43 hours 9 courses

An R Developer uses their programming skills to wrangle data and build tools for data analysis.

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Data Scientist

with R

89 hours 22 courses

A Data Scientist combines statistical and machine learning techniques with R programming to analyze and interpret complex data.

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Data Analyst

with R

64 hours 19 courses

A Data Analyst collects, processes, and creates visualizations in order to gain insights from complex data sets.

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Python Programmer

52 hours 13 courses

A Python Developer uses their programming skills to wrangle data and build tools for data analysis.

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Data Scientist

with Python

100 hours 26 courses

A Data Scientist combines statistical and machine learning techniques with Python programming to analyze and interpret complex data.

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Data Analyst

with Python

60 hours 16 courses

A Data Analyst uses data visualization and manipulation techniques to uncover insights and help organizations make better decisions.

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Quantitative Analyst

with R

65 hours 15 courses

Ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models.

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Statistician

with R

56 hours 14 courses

A statistician collects and analyzes data and helps companies make sense of quantitative data, including spotting trends and making predictions.

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Machine Learning Scientist

with R

61 hours 15 courses

A machine learning scientist researches new approaches and builds machine learning models.

Learn More

Track badge

Python Programmer

52 hours 13 courses

A Python Developer uses their programming skills to wrangle data and build tools for data analysis.

Learn More

Track badge

Data Scientist

with Python

100 hours 26 courses

A Data Scientist combines statistical and machine learning techniques with Python programming to analyze and interpret complex data.

Learn More

Track badge

Data Analyst

with Python

60 hours 16 courses

A Data Analyst uses data visualization and manipulation techniques to uncover insights and help organizations make better decisions.

Learn More

Track badge

R Programmer

43 hours 9 courses

An R Developer uses their programming skills to wrangle data and build tools for data analysis.

Learn More

Track badge

Data Scientist

with R

89 hours 22 courses

A Data Scientist combines statistical and machine learning techniques with R programming to analyze and interpret complex data.

Learn More

Track badge

Data Analyst

with R

64 hours 19 courses

A Data Analyst collects, processes, and creates visualizations in order to gain insights from complex data sets.

Learn More

Track badge

Quantitative Analyst

with R

65 hours 15 courses

Ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models.

Learn More

Track badge

Statistician

with R

56 hours 14 courses

A statistician collects and analyzes data and helps companies make sense of quantitative data, including spotting trends and making predictions.

Learn More

Track badge

Machine Learning Scientist

with R

61 hours 15 courses

A machine learning scientist researches new approaches and builds machine learning models.

Learn More

  • Learn real world skills

    In every DataCamp exercise, you are writing and running real R, Python, or SQL code. You won’t just learn the theory, you’ll get hands-on experience exploring real data sets in courses covering the entire data science workflow.

    List of icons and skills

  • A curriculum by world-class Instructors

    DataCamp courses are taught by the best instructors in the world. Our instructors come from academia and industry, are package creators and project maintainers, and have developed some of the most widely used data science tools in the world. With DataCamp, you’ll be learning from the experts.

    Photos of instructors, in a circle

  • Get fluent with case studies and practice mode

    Everyone knows practice is key. With case studies built into every course, you’ll get to apply your new skills right away. Plus, in practice mode, you’ll be able to keep your skills razor sharp with fun daily challenges.

    Practice mode
I've thought a lot about the best way to learn data science... DataCamp is the top resource I recommend to people.
Louis is a researcher at Harvard Business School
Louis
Benjamin
Ofentswe
Arnaud
Timotheos

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Frequently Asked Questions

What's the difference between a career track and a skill track?

Our career tracks cover everything you need to kickstart your career, from our intro courses to our most advanced offerings. Our skill tracks are shorter and let you specialize in a specific area, like data visualization or statistics.

Once I've started, can I change tracks?

Of course! If you decide to rejoin a track, any new course progress will be applied automatically.

Will I earn a certificate for completing a track?

Yes. In addition to earning certificates for each course you complete, you will earn a special certificate upon completing a track.

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