Attending conferences is good for your data science learning. Discover a few other reasons why you should attend the Open Data Science Conference (ODSC)!
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Expanding Your Data Science Skills
Learn what things can go wrong if you're coding up your own course and your source files can't be understood by the DataCamp parsers.
Building Your Own DataCamp Course with GitHub
Discover more about our new course “Data Visualization with ggplot2 - Part 2”, where you'll take the step from exploratory to explanatory data visualization.
New Course: R Data Visualization with ggplot2 - Part 2
This blog post will walk you through some basic examples of building Submission Correctness Tests (SCTs) so that you can begin to create your own interactive courses on DataCamp.
Submission Correctness Testing in DataCamp (Part I)
At DataCamp, we’ve been working on a improved way of creating content. DataCamp’s new Teach app is closely linked with GitHub, the popular web-service where you can collaborate on Git Repositories. To make creating and maintaining courses as easy as possible, the DataCamp Teach app can automatically convert a GitHub repository in a DataCamp course. This is similar to how continuous integration tools such as Travis CI and Jenkins work: simply push changes to your GitHub repository
Create Your Own R Tutorials with Github & DataCamp
Learn to produce data visualizations with DataCamp’s ggplot2 course series, following the principles of good visualizations and the grammar of graphics plotting concept.
New Course: R Data Visualization with ggplot2 - Part 1
Exploratory Data Analysis (EDA) is often the best starting point to any analysis. Take the new hands-on course from Kaggle & DataCamp to learn the essentials of Data Exploration.
Data Exploration with Kaggle - R Tutorial
Building the best online platform for data science education with a focus on R and Python continues to be DataCamp's mission. This post shares DataCamp's journey during 2015 and our plans for 2016.