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Get Ready for Data Science at Stanford

Hoping to study data science at Stanford? 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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Popular Courses for Stanford 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.

Clock4 hours
Hillary Green-Lerman Headshot

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!

Clock4 hours
George Boorman Headshot

George Boorman

Core Curriculum Manager, DataCamp


Introduction to Statistics

Learn how to explore, visualize, and extract insights from data.

Clock4 hours
George Boorman Headshot

George Boorman

Core Curriculum Manager, DataCamp


Introduction to Data Visualization with Matplotlib

Learn how to create, customize, and share data visualizations using Matplotlib.

Clock4 hours
Ariel Rokem Headshot

Ariel Rokem

Senior Data Scientist, University of Washington


Introduction to Linear Modeling in Python

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Clock4 hours
Jason Vestuto Headshot

Jason Vestuto

Data Scientist, University of Texas at Austin


Machine Learning for Everyone

An introduction to machine learning with no coding involved.

Clock2 hours
Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

Prepare to Study Data Science at Stanford


Though there are no explicit requirements for undergraduate (first-year) applicants interested in majoring in data science,  a “rigorous” mathematical understanding of fundamental skills (algebra, trigonometry, and geometry) along with additional mathematical preparation in calculus and statistics are recommended. 

For graduate applicants, the Stanford Department of Statistics recommends the following preparatory courses (independent learning/online or certificate program/community college, etc.) for their Data Science program: 

  • Linear algebra 
  • Probability
  • Stochastic processes 
  • Numeric method
  • Proficiency in programming

DataCamp is an excellent resource for those looking to develop the skills recommended by Stanford University Data Science programs. With over 300 courses, we provide interactive online courses in different programming languages, including Python, R, Tableau, SQL, and Power BI, plus data analysis, data visualization, machine learning, and data engineering courses. 


Practice your Data Skills

DataCamp is useful for everyone, no matter their programming proficiency. For those just starting their data literacy journey, we have non-coding courses to explain the fundamentals of data science. And for those looking forward to developing their programming skills, we have intermediate courses for each programming language we offer.

Moreover, our other resources, such as tutorials, blogs, cheat sheets, and free datasets, are available to our learners to help assist with their studies at Stanford.

Work with Real Datasets

DataCamp understands the importance of learning by doing. With that in mind, our courses provide real-life datasets to practice on. Similarly, with DataCamp Projects, you can apply your coding skills to solve real-world problems in your browser. Users are also able to integrate their own dataset into DataCamp Projects, making it the perfect place to practice course work or prepare for your studies at Stanford.

Gain Sharable Statements of Accomplishments

Every course you complete on DataCamp is rewarded with a shareable Statement of Accomplishment. These can be shared with your network or as part of your Stanford data science application to show your progress in various subject areas.

Compile your own Portfolio

When you’re working on your own Stanford data science projects, you can save your projects into the DataCamp Workspace.  Workspace can serve as a portfolio for showcasing your data science skills both during the application process and as you progress through your course. 

Not only are you able to save your existing projects, but Workspace allows for collaborative environments. You are able to share and work together with your friends or fellow students on various projects, in a safe, trustworthy learning environment.

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 Stanford, DataCamp is here to help.

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