Introduction to R programming language and statistics

Article read 318 times in categories Digital Analytics @en

The goal of this article is to help you to bootstrap your knowledge in statistics and R programming language whatever your current level is.

It has been created thanks to a French MOOC called “Introduction to statistics using R” created by Professor Bruno Fallisard from Paris-Sud university and Christophe Lalanne from Paris-Diderot university. It has been developed using RMarkdown and source code is available on GitHub so please don’t hesitate to enhance it! The dataset is the top 250 movies ranked on IMDb site, you have to download it to follow this guide.

This guide was republished on r-bloggers with permission (by the way, r-bloggers is a good blog to follow!).

Happy analysis!

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Brice Bottégal
About the author, Brice Bottégal :

Brice Bottégal started his career at digital analytics consulting agency Hub’Sales, where he worked as digital analytics consultant. He later took charge of pre-sales and participated in the launch of the quality assurance solution Hub’Scan. After that, Brice Bottégal joined TagCommander as Product Manager. TagCommander is a major Tag and Data Management Platform in Europe. Then, Brice Bottégal joined Tinyclues, where he served as Product Manager. Tinyclues helps advertisers to find the right target for their campaigns using cutting edge machine learning technologies. Brice Bottégal has been serving as digital analytics Professor at HETIC for the past six years.

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2 Responses to “Introduction to R programming language and statistics”

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