Get Ready for Data Science at MIT
Hoping to study data science at MIT? DataCamp can help you build your data skills across a range of disciplines.
- Learn at your own pace
- Get hands-on experience
- Practice and apply your skills
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Popular Courses for MIT Students
Introduction to Data Science in Python
Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

Hillary Green-Lerman
Lead Data Scientist, Looker
Supervised Learning with scikit-learn
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

George Boorman
Core Curriculum Manager, DataCamp
Exploratory Data Analysis in Python
Learn how to explore, visualize, and extract insights from data.

Allen Downey
Professor, Olin College
Introduction to Data Visualization with Matplotlib
Learn how to create, customize, and share data visualizations using Matplotlib.

Ariel Rokem
Senior Data Scientist, University of Washington
Exploratory Data Analysis in R
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Andrew Bray
Assistant Professor of Statistics at Reed College
Machine Learning for Everyone
An introduction to machine learning with no coding involved.

Hadrien Lacroix
Curriculum Manager at DataCamp

Practice your Data Skills
With DataCamp’s practice feature, you can complete quick daily challenges to test your skills. Similarly, DataCamp Projects allow you to practice the data science skills you have learned in the courses. This can be the ideal way to hone your skills ahead of starting a data science course at MIT.

Work with Real Datasets
DataCamp provides learners with real-world datasets meaning you can put your newly learned coding skills into practice. Each dataset is accompanied by a set of challenges and a scenario, which allows you to practice specific skills and develop end-to-end projects.
Gain Sharable Statements of Accomplishments
Upon completion of a course, DataCamp will provide you with a statement of accomplishment that you can download or share on LinkedIn. This way you can demonstrate your level of competency across a range of different data science topics. With these statements of accomplishment you can show off your skills to MIT admissions officers or potential employers.

Compile your own Portfolio
DataCamp Workspace is a platform where you are able to create a shareable data science portfolio. With ready-to-use datasets, Workspace allows you to apply the skills you have learned in the courses. Using this platform you can build a record of all of your completed DataCamp projects for admissions officers or potential employers to view.

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Ready to learn?
With our online learning platform, you take an array of courses across different competency levels, all at your own pace. If you’re preparing for your data science journey at MIT, DataCamp is here to help.