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Customer Analytics Course

This repository contains all necessary inputs to run the course hands-on labs.

Repository contents

Each session may contain:

  • keynotes
  • technical notes
  • exercises
  • solutions
  • homeworks
  • articles
  • books

Vimeo Channel

In this channel, you can find all the public videos: https://vimeo.com/channels/1573371

Software Installation

We will use R and Rstudio. In some sessions, we will use additional packages for R.

Steps

Install R

  • Download R from: https://www.r-project.org (in our case version 4.0.0): Windows, Mac
  • Choose any mirror for downloading (for example cloud.r)
  • Install and follow the instructions
  • [Mac] Download clang 8.0.0 and gfortran 6.1 as well from here

Install Rstudio

We recommend Rstudio, an Interactive Development Environment (IDE) with lots of features that makes R easier to use:

Optional

If you want to knit PDF files, it is recommended to install MikTex or MacTex, distributions for LaTex.

In case you need a multipurpose text editor, I recommend Atom.

References

DataCamp

This class is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise.

Source: DataCamp

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Customer Analytics with R

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  • Jupyter Notebook 93.2%
  • R 5.6%
  • TeX 1.2%