Data Visualization and Statistics Fundamentals

Save now with our best deal of the year! Hi there, Lots of new content this week! We have six new tracks that cover Python and R. They include our Data Visualization with Python track, which teaches you how to use Matplotlib, seaborn, Bokeh, and others to create beautiful static and interactive visualizations. Also, our Marketing Analytics with R track where you’ll learn how to create common statistical models used in marketing. We’re also happy to announce that we have launched seven new courses, one new set of coding challenges available on mobile and desktop, plus one new Python project. Finally, check out five courses that are top-rated by other DataCamp users. Take advantage of this content and everything else in our catalog by saving [67% on an individual DataCamp yearly subscription](! Don’t miss out—this offer ends May 23, 2019. Tracks • [Data Visualization with Python]( • [Statistics Fundamentals with Python]( • [Statistical Inference with R]( • [Unsupervised Machine Learning with R]( • [Marketing Analytics with R]( • [Probability and Distributions with R]( Courses • [Dimensionality Reduction in Python]( • [Working with Dates and Times in Python]( • [Model Validation in Python]( • [Topic Modeling in R]( • [Feature Engineering in R]( • [Defensive R programming]( • [Building Response Models in R]( Practice • [Sentiment Analysis in R: The Tidy Way]( Projects • [Book Recommendations from Charles Darwin]( (in Python) 5 Courses Recommended by DataCamp Users: • [Reporting in SQL]( • [Introduction to Relational Databases in SQL]( • [Financial Analytics in Spreadsheets]( • [Pivot Tables with Spreadsheets]( • [Introduction to Matplotlib]( (in Python) Happy learning! The DataCamp Team DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118 | [Unsubscribe](