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

Level up your Python data science skills 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 how to parse data in any format. Whether it's flat files, statistics software, databases, or web data, you'll handle it all.

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Data Scientist at DataCamp

In this course, you'll learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames.

Director of Training at Continuum Analytic

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

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

Strengthen your knowledge of the topics you learned in Intermediate R with a ton of new and fun exercises.

Learn to explore your data so you can properly clean and prepare it data for analysis.

Director of Course Development at DataCamp

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

Data Scientist and cofounder of Science Craft

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