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

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

Co-founder and CEO of DataCamp

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

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

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

Data Scientist at DataCamp

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

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

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Data Carpentry instructor and author of nxviz package

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

Instructor at DataCamp

Learn how to make predictions about the future using time series forecasting in R.

Professor of Statistics at Monash University

Learn to visualize multivariate datasets using lattice plotting.

Professor at the Indian Statistical Institute, a member of R-Core, and the creator of lattice.

Learn how to visualize time series visualization in R, then practice with a stock-picking case study.

Quantitative trader and creator of thertrader.com