this month at DataCamp: New courses, Spark cheat sheet

Discover new courses and learn how to use Spark! This month, we launched new machine learning courses, Network Analysis, and an advanced pandas course, and a guide on using Spark. Check it out! . [DataCamp]( . This Month at DataCamp An update from your favorite online data science education company New Courses --------------------------------------------------------------- [Unsupervised Learning]( [Unsupervised Learning in R]( This course provides a basic introduction to important concepts in unsupervised learning such as clustering and dimensionality reduction in R. [Play now!]( [scikit-learn]( [Supervised Learning with scikit-learn]( Learn how to build predictive models, how to tune their parameters, and how to tell how well they will perform on unseen data, all while using real world datasets. [Play now!]( [pandas]( [Merging DataFrames with pandas]( Hone your pandas skills by learning how to organize, reshape, and aggregate multiple data sets to answer your specific questions. [Play now!]( [Network Analysis]( [Network Analysis in Python]( This course will equip you with the skills to analyze, visualize, and make sense of networks. [Play now!]( --------------------------------------------------------------- [Exclusive offer for DataCamp users]( Exclusive Offer: JetBrains PyCharm We're excited to let you know that DataCamp has partnered with [JetBrains PyCharm]( the leading Python IDE for Professional Developers, to help you learn Data Science and continue your growth as a professional Python developer. Today we bring you a special offer: Until May 11, use the DATACAMP promo code in JetBrains e-store towards a PyCharm personal subscription and get your free 3-month subscription for PyCharm Professional Edition. No actual payment required. [Try PyCharm]( --------------------------------------------------------------- [Try PySpark!]( Python + Spark with PySpark Apache Spark is a fast, general, open-source engine for big data processing with built-in modules for streaming, SQL, machine learning, and graph processing. It allows you to speed analytic applications up to 100 times faster compared to other technologies on the market today. Learn how to interface Spark with Python through this [beginner's guide]( and [cheat-sheet]( on PySpark! [Check it out ›]( DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02141 [Unsubscribe](