R Coding

Overview

The course aims at providing technical skills about coding/scripting aspects for data analysis and to manage persistent data storage of sources and results involved in analysis. On the one side, the Python programming language and the R framework are illustrated. The goal is to deal with essential notions about data structures and control structures of both Python and R. On the other side, the goal is to present the core notions of relational databases, such as keys, integrity, and primary/foreign key constraints, as well as the SQL language for data definition, manipulation, and query. Recent and innovative NoSQL solutions are also discussed, with special focus on a document-oriented system called MongoDB.

The R Coding part of the course aims at teaching R Programming, focusing on how to code with modern and state-of-the-art R packages.

General Information

• Course Descriprion (for Students)
• Course Descriprion (for Business Experts)
• Syllabus

Materials

• Introduction to R
• Introduction to RMarkdown
• 💯 R Best Practices
• Tutorials (lectures)
• Other Resources

Suggested References

Git & GitHub:

• Pro Git
• Happy Git with R

R Programming:

• R for Data Science
• Efficient R Programming
• R Packages
• Advanced R

RMarkdown & Shiny:

• RMarkdown: The Definitive Guide
• Mastering Shiny
• Shiny Tutorials

Everything with R:

• Big Book of R