Description
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 this training course, you will be familiar with the process of installing and configuring the software prerequisites required for the statistical development environment and general 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 the R Programming course:
- 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 details
Publisher: Coursera
Lecturer: Roger D. Peng, Jeff Leek and Brian Caffo
English language
Provider institution/university: Johns Hopkins University
Education level: Intermediate
Number of weeks: 4
Training duration: about 57 hours
R Programming 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
Course prerequisites
Familiarity with regression is recommended.
Course images
R Programming course introduction video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
444 MB
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