Datacamp – R Programmer 2023-11

Datacamp – R Programmer 2023-11 Downloadly IRSpace

Datacamp – R Programmer 2023-11
Datacamp – R Programmer 2023-11

R Programmer, Gain the career-building R programming skills you need to successfully develop software, wrangle data, and perform advanced data analysis in R. No prior coding experience is required, you can start your journey to becoming an R programmer today! In this track, you’ll learn how to manipulate data, write efficient R code, and work with challenging data, including date and time data, text data, and web data using APIs.

As you become more comfortable with these skills, you’ll move on to learn about writing functions in R and object-oriented programming—an essential skill for R programmers working with large and complex programs. Through interactive exercises, you’ll also gain experience working with powerful R libraries, including devtools, testthat, and rvest, that will help you perform key programmer tasks, such as web development, data analysis, and task automation. By the time you finish this track, you’ll have a firm grasp of what’s needed to become an R programmer and have the skills to get started as one.

What you’ll learn

  • Introduction to the Tidyverse
  • Data Manipulation with dplyr
  • Writing Efficient R Code
  • Working with Dates and Times in R
  • String Manipulation with stringr in R
  • Web Scraping in R
  • Introduction to Writing Functions in R
  • Introduction to Shell
  • Introduction to Git
  • Parallel Programming in R
  • Defensive R Programming
  • Creating R Packages
  • Object-Oriented Programming with S3 and R6 in R=

Specificatoin of R Programmer

  • Publisher : Datacamp
  • Teacher : DAVID ROBINSON
  • Language : English
  • Level : All Levels
  • Number of Course : 13
  • Duration : 52 hours to complete the course

Content of R Programmer

R Programmer

Pictures

R Programmer

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Introduction to the Tidyverse

Download – 97 MB

Data Manipulation with dplyr

Download – 49 MB

Writing Efficient R Code

Download – 117 MB

Working with Dates and Times in R

Download – 77 MB

String Manipulation with stringr in R

Download – 114 MB

Web Scraping in R

Download – 56 MB

Introduction to Writing Functions in R

Download – 64 MB

Introduction to Shell

Download – 63 KB

Introduction to Git

Download – 124 MB

Parallel Programming in R

Download – 82 MB

Defensive R Programming

Download – 46 MB

Creating R Packages

Download – 86 MB

Object-Oriented Programming with S3 and R6 in R

Download Part 1 – 1 GB

Download Part 2 – 253 KB

File size

1.89 GB