This repository contains all necessary inputs to run the course hands-on labs.
Each session may contain:
- keynotes
- technical notes
- exercises
- solutions
- homeworks
- articles
- books
We will use R and Rstudio. In some sessions, we will use additional packages for R.
Install R
- Download R from: https://www.r-project.org (in our case version 3.6.3): Windows, Mac
- Choose any mirror for downloading (for example cloud.r)
- Install and follow the instructions
- [Mac] Download clang 7 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:
- Download Rstudio Desktop from https://www.rstudio.com/products/rstudio/download/#download (in our case version 1.2.5033)
Optional
If you want to knit PDF files, it is recommended to install MikTex or MacTex, distributions for LaTex.
- [Mac] You can download the distribution for Windows from https://miktex.org/.
- [Windows] You can download the distribution for Mac from https://www.tug.org/mactex/.
- In case you don't need all the features of a complete Tex instalation, you can install only the TinyTex package.
In case you need a multipurpose text editor, I recommend Atom.
- Analyze Core
- Data Apple
- BTYD: Implementing Buy 'Til You Die Models
- BTYDplus: R package for Customer Behavior Analysis
- BCA: Business and Customer Analytics
- bayesm: Bayesian Inference for Marketing/Micro-Econometrics
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.
