Today's highly active R user base is developing, re-developing, and releasing R packages documentation and manuals at a never-before-seen rate. While this is fantastic news for the R community as such, it inevitably also causes growing pains as men... [Read more...]

DataCamp’s mission is to build the best online platform for data science education with a focus on R and Python. In this post, we share our journey during 2015 and our plans for 2016 (hint: we’re hiring)*: 2015 IN REVIEW 2015 - The data** Sin... [Read more...]

Yesterday (Monday 1st of September), a new session of Data Analysis and Statistical Inference, taught by Doctor Mine Çetinkaya-Rundel from Duke university, has started on Coursera. Just like with the previous run, all labs take place in DataCamp's int... [Read more...]

Hillary Clinton and Donald Trump seem to be the nominees for the upcoming US presidential election in November 2016. The US presidential election in five months provokes already harsh attacks between the nominees – the election campaigns of Trump und Clinton evolve to one of the toughest competitions in the recent history ... [Read more...]

This post builds upon the first post about DataCamp Teach, where you saw how you can create a brand new DataCamp course from scratch. Creating a course on Datacamp is very easy, but things can go wrong if you're coding up your own course and your sou... [Read more...]

Editorial Note: This is a guest blog post by Professor Matthew J. Salganik (Princeton University) in which he describes his experiences using the DataCamp interactive learning platform for blended learning. The article was first published on Wheels o... [Read more...]

The latest interactive course in the RStudio track is now available on DataCamp: ggvis tutorial. The first part of the tutorial is available for  free, so everyone can now learn interactively how to start creating stunning ggvis data visualizations i... [Read more...]

If you already know SAS, SPSS or Stata, you don’t need to spend time learning how to analyze data. You need a course that focuses on translating your knowledge into R. A course that facilitates switching from SAS, SPSS or STATA to R. That’s why Da... [Read more...]

In need for better ways to handle large data sets? Interested in manipulating, visualizing, and analysing large datasets with RevoScaleR? Then make sure to have a look at this free hands-on Revolution R Enterprise tutorial on Big Data Analytics by Revo... [Read more...]

The best way to learn is at your own pace. Combining the interactive R learning environment of DataCamp and the expertise of Prof. Conway of Princeton, we offer you an extensive online course on introductory statistics with R.  Start learning now...Wh... [Read more...]

In our last blog post we announced the addition of GitHub and  Bioconductor R documentation and R manuals to Rdocumentation. For the more technical amongst you, I'll give a short, high-level description of what's under the hood of Rdocumentation. Alo... [Read more...]

In my last blog post, I talked about Random Sampling for Plain Text in R. Now when you are performing some supervised learning on your data, if you follow the cross-validation principle which divides the data into train, holdout and test, you want to make sure each subset is different. [Read more...]

If you are mining with a text source, performing some language modelling, you need to sample from a text corpus. I was wondering how to have a function to randomly selects chunks of a text file efficiently and is doing the job fast. I wanted to keep the function as [Read more...]

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In this post we’ll recreate two info graphics created by The Economist. The code uses the new Plotly 4.0 syntax. Note: Plotly 4.0 has not been officially released yet. You can download the dev version using [crayon-57843430a16b1053690622/] Volume of google searches related to immigrating to Canada [crayon-57843430a16bf572296869/] ... [Read more...]

Over the years, we've shared several posts on using the ScaleR package to import, process, visualize and analyze large data sets with R. Until now, you needed to have access to a Microsoft R Server license to take advantage of the package. Now, you can use all of the capabilities ... [Read more...]

Earlier this morning, Rcpp reached another milestone: 701 packages on CRAN now depend on it (as measured by Depends, Imports and LinkingTo declarations). The graph is on the left depicts the growth of Rcpp usage over time. Rcpp cleared 300 packages ... [Read more...]

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