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.

This course provides a basic introduction to clustering and dimensionality reduction in R from a machine learning perspective.

Senior Data Scientist, Boeing

Learn how to build and tune predictive models and evaluate how well they will perform on unseen data.

Core developer and co-maintainer of scikit-learn; Lecturer at Columbia University

Learn to train and assess models performing common machine learning tasks such as classification, regression and clustering.

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

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

Data Scientist and cofounder of Science Craft

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

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

Director of Course Development at DataCamp

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

Learn about how dates work in R, and explore the world of if statements, loops, and functions. You'll practice this knowledge u...

Data Scientist at DataCamp

Learn how to pull character strings apart, put them back together and use the stringr package.

Assistant Professor at Oregon State University

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