Python
R
R Programming
Learn about fundamental data types, logic, and how to create your own functions using the R language.
Select your technology:
Which technology should I choose?
Finance Basics
with R
If you are just starting to learn about finance and are new to R, this is the right track to kick things off! In this track, you will learn the basics of R and apply your new knowledge directly to finance examples, start manipulating your first (financial) time series, and learn how to pull financial data from local files as well as from internet sources.
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Machine Learning
with R
Learn the basics of prediction using machine learning. This track covers predicting categorical and numeric responses via classification and regression, and discovering the hidden structure of datasets (unsupervised learning). Learn how to process data for modeling, how to train your models, how to visualize your models and assess their performance, and how to tune their parameters for better performance.
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Applied Finance
with R
Apply your R skills to financial data, including bond valuation, financial trading, and portfolio analysis.
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Finance Basics
with R
If you are just starting to learn about finance and are new to R, this is the right track to kick things off! In this track, you will learn the basics of R and apply your new knowledge directly to finance examples, start manipulating your first (financial) time series, and learn how to pull financial data from local files as well as from internet sources.
Learn More
Machine Learning
with R
Learn the basics of prediction using machine learning. This track covers predicting categorical and numeric responses via classification and regression, and discovering the hidden structure of datasets (unsupervised learning). Learn how to process data for modeling, how to train your models, how to visualize your models and assess their performance, and how to tune their parameters for better performance.
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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.
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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.
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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.
By learning R, we have much faster access to cutting-edge data science techniques.
Marisa de la Torre is Director for Internal Research Capacity at the University of Chicago Consortium on School Research.
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.
Get your questions answered:
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