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.
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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.
[Radar Recap] Building an Enterprise Data Strategy that Puts People First
Cindi Howson and Valerie Logan discuss how data leaders can create a data strategy that puts their people at the center.
[Radar Recap] Unleashing the Power of Data Teams in 2023
Vijay Yadav and Vanessa Gonzalez will outline the keys to building high-impact data teams in 2023.
The Past, Present, and Future, of the Data Science Notebook
Jodie Burchell discusses notebooks and the challenges facing data science today.
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.
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.