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This month at DataCamp

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datacamp.com

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team@datacamp.com

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Tue, Dec 6, 2016 08:29 PM

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Tons of new courses; a helpful cheat sheet; Jupyter Notebooks. This month, learn about Statistical T

Tons of new courses; a helpful cheat sheet; Jupyter Notebooks. This month, learn about Statistical Thinking, Interactive Data Visualization, Databases, Joining Data, and more. . [DataCamp] . This Month at DataCamp An update from your favorite online data science education company New Python Courses! --------------------------------------------------------------- [Statistical Thinking in Python (Part 1)] Start building the foundation you need to think statistically, to speak the language of your data, and to understand what they are telling you. [Play now!] [Interactive Data Visualization with Bokeh] Bokeh is an interactive visualization library for Python that targets modern web browsers for presentation. [Play now!] [Introduction to Databases in Python] In this course, you'll learn the basics of relational databases and how to interact with them for all your data science needs. [Play now!] New R Courses! --------------------------------------------------------------- [Joining Data in R with dplyr] Learn how to combine data sets with dplyr's two table verbs. You'll learn the best ways to combine data sets using mutating joins, filtering joins, and set operations. [Play now!] [Financial Trading in R] [Manipulating Time Series Data in R: Case Studies] This follow-up course on Manipulating Time Series Data in R will strengthen your knowledge with new exercises and interesting datasets. [Play now!] [Financial Trading in R] [Community Course: Plotly and R] This Plotly tutorial will show you how you can use plotly to easily create stunning data visualizations with R. [Play now!] --------------------------------------------------------------- [Handy Cheatsheet for Bokeh] Bokeh Cheat Sheet for Data Science Bokeh is a high-performance interactive visualization library for Python that is ideal for anyone who would like to quickly and easily create interactive plots, dashboards, and data applications. This cheat sheet lays out the five steps to make beautiful plots in Bokeh—check it out! [Check it out] --------------------------------------------------------------- [Learn how useful Jupyter Notebooks can be!] Jupyter Notebook Tutorial: The Definitive Guide A Jupyter Notebook is a web application in which you can create and share documents that contain live code, equations, visualizations, and text—essentially, Notebooks are an ideal tool to help you gain data science skills and share your projects. This guide covers Notebook basics, the history of the Jupyter Project, popular ways to run your Notebooks, best practices, and more. [Explore Jupyter Notebooks] DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02141 [Unsubscribe]

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