this month at DataCamp

Get 50% off DataCamp subscriptions, new courses, AnacondaCON, and a new scikit-learn cheatsheet! This email is packed with deals: for a limited time, get half off when you purchase a DataCamp subscription. Also, tickets to AnacondaCON are currently 2-for-1! Check out our new courses on Statistical Thinking, Data Visualization, Geospatial Data, and more! . [DataCamp] . This Month at DataCamp An update from your favorite online data science education company [Save $150!] Get 50% off for a limited time To kick off the new year, we are offering half price subscriptions for a limited time! You'll get full access to all current DataCamp courses, as well as new courses released every month. Act fast, this deal won't last long! [Get 50% Off ›] New Courses! --------------------------------------------------------------- [ ] [Statistical Thinking in Python (Part 2)] Expand and hone your hacker statistics skills while working with real data sets. After completing this course, you will be ready to attack your own inference problems. [Play now!] [ ] [Data Visualization in R] This course provides a comprehensive introduction to working with base graphics in R. [Play now!] [ ] [Working with Geospatial Data in R] Learn to read, explore, and manipulate spatial data objects to make your own maps. [Play now!] --------------------------------------------------------------- [Special Discount for AnacondaCON 2017] AnacondaCON 2017 AnacondaCON '17 will help you conquer your biggest data science challenges. Learn from more than 20 presentations by industry experts on leveraging Anaconda. Team Anaconda wants to empower your whole team, so they're offering two-for-one ticket prices to AnacondaCON '17 for a limited time, now through January 16! [Register today] --------------------------------------------------------------- [Discover machine learning with scikit-learn!] Scikit-Learn Tutorial and Cheatsheet Scikit-Learn is an open source Python library that implements a wide variety of machine learning, preprocessing, cross-validation and visualization algorithms with the help of a unified interface. This helpful cheat sheet provides a quick reference for exploring this powerful library. For a more in depth overview, check out our [scikit-learn tutorial]! [Explore Scikit Learn] DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02141 [Unsubscribe]