1662 search results for "Tutorial"

New Tutorial Launched: Introduction to Machine Learning

January 14, 2016
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New Tutorial Launched: Introduction to Machine Learning

In DataCamp’s brand new course, Introduction to Machine Learning with R, you’ll learn all about the most widely used machine learning techniques such as classification, regression and clustering.  Whether you want to build your personal recommendation engine, become better at picking stocks, or develop your own self-driving car, machine learning is essential. It nicely interweaves statistics with computer...

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New online R tutorial by DataCamp: Intermediate R programming

January 14, 2016
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Today the course creation team at DataCamp released a new online R tutorial called Intermediate R. It is the sequel to our infamous Introduction to R tutorial that has been taken by over 60,000 R enthusiasts. This new tutorial combines short videos with in-browser coding exercises to increase your R knowledge even more.Start the new...

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R Markdown Tutorial by RStudio and DataCamp

January 14, 2016
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In collaboration with Garrett Grolemund, RStudio's teaching specialist, DataCamp has developed a new interactive course to facilitate reproducible reporting of your R analyses. R Markdown enables you to generate reports straight from your R code, documenting your works as an HTML, pdf or Microsoft document. This course is part of DataCamp's R training path,...

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ggvis tutorial: become a data visualization expert with RStudio

January 14, 2016
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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 in R. All courses in the RStudio track are self-paced, and combine challenging interactive...

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Complete dplyr tutorial for data analytics and data manipulation in R

January 14, 2016
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DataCamp just launched its latest interactive course: dplyr. This new course was developed in close collaboration with Garrett Grolemund, RStudio’s master instructor. By taking this dplyr tutorial, you will be challenged one step at a time to master the essentials about transforming data sets fast and intuitively with the dplyr package. Start the course here.The...

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Complete data.table tutorial: Data analysis the data.table way

January 14, 2016
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Together with the key people behind the data.table package, Matt Dowle and Arun Srinivasan,  DataCamp developed a brand new interactive course to bring your data analysis skillset up to date with the essentials of the powerful data.table package. Learn more on the data.table tutorial... The popularity of the data.table package is increasing and with good reason....

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Quandl Tutorial: learn to use quandl in R

January 14, 2016
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Quandl Tutorial: learn to use quandl in R

Quandl is a "wikipedia" for numerical data that allows you to rapidly search  through 8 million ready-to-use data sets. At DataCamp, we created a free Quandl Tutorial on how to use the corresponding R package to access Quandl data from within R.   As every real world data analyst knows, finding and formatting...

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A video tutorial on R programming – The essentials

January 10, 2016
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A video tutorial on  R programming – The essentials

Here is a my video tutorial on R programming – The essentials. This tutorial is meant for those who would like to learn R,  for R beginners or for those who would like to get a quick start on R. This tutorial  tries to focus on those  main functions that any R programmer is likely

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R-Markdown and Knitr Tutorial (Part 2)

December 28, 2015
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2015-12-29 14_58_47-Clipboard

In our last post we quickly went over how to create a new R-Markdown document and embed a Plotly graph in it. In this post we’ll get into more details around how to control code output using chunk options. As shown in our previous post, for the embedded R code to be evaluated, it’ll need

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R-Markdown and Knitr Tutorial (Part 1)

December 28, 2015
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R-Markdown is a great way to create dynamic documents with embedded chunks of R code. The document is self contained and fully reproducible which makes it very easy to share. This post will be the first in a multi part series on how to embed Plotly graphs in R-Markdown documents as well as presentations. R-Markdown

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