Master the basics of data analysis by manipulating common data structures such as vectors, matrices and data frames.

Co-founder and CEO of DataCamp

Master the basics of data analysis in Python. Expand your data science skill set by learning scientific computing with numpy.

Data Science Instructor at DataCamp

Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.

Level up your Python data science skills creating visualizations using matplotlib and manipulating data frames with Pandas.

In this second course in the Python Data Science Toolbox, you'll continue to build your Python Data Science skills. First you'l...

Data Scientist at DataCamp

Learn the fundamentals of writing functions in R so you can make your code more readable and automate repetitive tasks.

Chief Scientist at RStudio, author of ggplot2, dplyr, and tidyr

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

Instructor at DataCamp