Bootcamp 1: The fundamentals in R

Data types and structures in R, inputting & outputting data and manipulating data sets.

Thierry Warin (SKEMA Business School (Raleigh, NC))

Welcome in the Data Science and AI Signature Track offered by the SKEMA Global Lab in AI. As a part of the Master in Management of the Grande Ecole Programme, the signature track leverages new tools and techniques of the 21st century such as Data Science and Artificial Intelligence to train students to be a new generation of leaders ready to manage 21st-century companies in the 21st-century knowledge economy.


As part of the enrollment process for the Data Science and AI Signature Track, we ask that all participants carefully read and agree to our policies. [here]


Session 1

Discover the Data Science and AI Signature track and get an overview of AI as a technological transformation and the Society 5.0. [here]

Session 2

Familiarize yourself with the SKEMA Quantum Studio (SQS) environment and explore its possibilities by writing a CV with the Rmarkdown syntax. [here]

Session 3

Install R, Rstudio and R packages on local. Connect SKEMA Quantum Studio (SQS) to GitHub and use SKEMA Quantum Studio (SQS) with Zotero. [here]

Session 4

Familiarize yourself with R basics such as finding the working directory, assigning data and using R data types and maths functions. Then, learn how to import and export static and semi static data. [here]

Session 5

Explore the process of data wrangling by reshaping and subsetting data. Continue with some data manipulation by combining tables. Explore as well the data by computing summary statistics, converting text case and replacing or extracting substrings. [here]

Session 6

The focus is made on the creation of visuals. Use the right canvas to produce appropriated charts for your data. Create the most common graph types with qplot and then more elegant and complex plots with ggplot2. [here]

Session 7

The creation of maps is highlighted. Explore the art of cartography by creating static and interactive maps. Display these wonderful maps and more in a Flexdashboard by learning how to create one. [here]

Session 8

Access online data through APIs (Application Programming Interface) such as WDI, FRED and OECD. [here]

Session 9

Produce econometric analysis by exploring five econometric models. [here]

Yan Han, Hannah. 2019. “Mondrianify.”


For attribution, please cite this work as

Warin (2019, Dec. 7). Virtual Campus: Bootcamp 1: The fundamentals in R. Retrieved from

BibTeX citation

  author = {Warin, Thierry},
  title = {Virtual Campus: Bootcamp 1: The fundamentals in R},
  url = {},
  year = {2019}