Descriptions
R programmer, win The Career– Build R programming skills you need to successfully develop software, process data, and perform advanced data analytics in R. No prior programming 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 use APIs to work with sophisticated data, including date and time data, text data, and web data.
As You becomes After you’ve mastered these skills, you’ll then learn how to write 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 using powerful R libraries, including devtools, testthat, and rvest, to help you perform key programming tasks such as web development, data analysis, and task automation. When you’ve completed this course, you’ll know exactly what it takes to become an R programmer and have the skills you need to get started as one.
What you will learn
- introduction to Tidyverse
- Data Manipulation with dplyr
- Write Efficient R code
- Work with date and time in R
- String Manipulation with stringr in R
- network Cockroaches in R
- introduction for writing functions in R
- introduction peel
- introduction to Git
- Parallel Programming in R
- defensive R programming
- Create R packages
- object-Oriented programming with S3 and R6 in R=
R Programmer Specifications
- Publisher : Data Camp
- Teacher: DAVID ROBINSON
- Language: English
- Level: All levels
- Number of courses: 13
- Duration: 52 hours to complete the course
Contents of the R Programmer
Pictures
Sample clip
installation Guide
Extract the files and watch them with your favorite player
Subtitles: English
Quality: 720p
Download links
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 write 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
Password file(s): free download software
File size
1.89GB