Learn more about R
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
Introduction to the Tidyverse
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.
See MoreSee More
Building Your Data Science Portfolio with DataCamp Workspace (Part 1)
Learn how to build a comprehensive data science portfolio by exploring examples different examples, mastering tips to make your work stand out, and utilizing the DataCamp Workspace effectively to showcase your results.
Google Bard for Data Science Projects
Learn how to leverage Google Bard for project planning, data preprocessing, exploratory data analysis, feature engineering, model selection, hyperparameter tuning, model validation, and building and deployment of a web application.
Abid Ali Awan
Building a Safer Internet with Data Science
Learn the key drivers of a data strategy that helps ensure online safety and consumer protection with Richard Davis, the Chief Data Officer at Ofcom, the UK’s government-approved regulatory and competition authority.
How Data Scientists Can Thrive in the FMCG Industry
Find out how data science drives strategy in the FMCG industry.
Conda Cheat Sheet
In this cheat sheet, learn all about the basics of working with Conda. From managing and installing packages, to working with channels & environments, learn the fundamentals of the conda package management tool suite.
Git Rebase Tutorial for Beginners
Discover what Git Rebase is and how to use it in your data science workflows.
Javier Canales Luna