Coursera – R Programming 2023-3

R Programming is an R programming language training course published by Coursera Online University. R is a modern and relatively new programming language that can be used in various projects, especially data analysis projects. During the process of this training course, you will get to know the process of installing and configuring the software prerequisites required for the statistical development environment and universal programming concepts in different languages. The issues raised in high-level statistical languages are very practical and of great importance.

This training course contains a series of practical and applied topics, among the most important of which are programming in R language, reading and receiving data from R-based codebases and programs, gaining access to packages He mentioned different R functions, writing R functions, troubleshooting and debugging R programs, profiling R codebases, and organizing and commenting on the codebases of this programming language. This training course is one of the most important training courses published on the Coursera platform and it is also available in two massive Data Science training sets: Foundations using R Specialization and Data Science Specialization.

What you will learn in R Programming:

• Getting to know very important concepts of programming languages
• Configuration of statistical programming software
• Working with R programming language loop functions and various debugging tools
• Data collection using R profiler
• Data analysis
• Rstudio
• And …

Course Specifications

Publisher: Coursera
Instructors: Roger D. Peng, Jeff Leek and Brian Caffo
Language: English
Level: Intermediate
institution/university: Johns Hopkins University
Number of Weeks: 4
Duration: 57 Hours

Course Topics:

Week 1

Week 1: Background, Getting Started, and Nuts & Bolts

Week 2

Week 2: Programming with R

Week 3

Week 3: Loop Functions and Debugging

Week 4

Week 4: Simulation & Profiling

R Programming Prerequisites

Familiarity with regression is recommended.

Pictures

R Programming Introduction Video

Installation Guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

Download Links

Download Course – 444 MB

Size

444 MB