R Crash Course - Learn R-programming in 2 hours - R and RStudio

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R Crash Course - Learn R-programming in 2 hours - R and RStudio (Size: 712.4 MB)
  1 - Introduction English.srt 3.5 KB
  1 - Introduction.mp4 9.7 MB
  10 - Lab Calculations in R English.srt 1.8 KB
  10 - Lab Calculations in R.mp4 7.8 MB
  11 - Variables in R and assigning Variables in R English.srt 2.6 KB
  11 - Variables in R and assigning Variables in R.mp4 9 MB
  12 - Exercise1.txt 716.8 B
  12 - Lab Variables in R and assigning Variables in R English.srt 1.8 KB
  12 - Lab Variables in R and assigning Variables in R.mp4 7.6 MB
  13 - Overview of data types and data structures in R English.srt 8.5 KB
  13 - Overview of data types and data structures in R.mp4 27.2 MB
  14 - Lab Overview of data types and data structures in R English.srt 9.1 KB
  14 - Lab Overview of data types and data structures in R.mp4 48.1 MB
  15 - Data types and data structures Vectors in R English.srt 3.6 KB
  15 - Data types and data structures Vectors in R.mp4 12.9 MB
  16 - Vectors operations in R English.srt 4.2 KB
  16 - Vectors operations in R.mp4 15.5 MB
  17 - Lab Vectors operations in R English.srt 7.5 KB
  17 - Lab Vectors operations in R.mp4 35.9 MB
  18 - Data types and data structures Factors English.srt 2.7 KB
  18 - Data types and data structures Factors.mp4 9.3 MB
  19 - 002-ReadingDaraInR.R 716.8 B
  19 - Example.csv 307.2 B
  19 - Example1.xlsx 9.8 KB
  19 - Example3.txt 307.2 B
  19 - Read Data into R English.srt 5 KB
  19 - Read Data into R.mp4 40 MB
  2 - What is R and RStudio English.srt 3.2 KB
  2 - What is R and RStudio.mp4 12.2 MB
  20 - Data types and data structures Matrices English.srt 4.9 KB
  20 - Data types and data structures Matrices.mp4 21.7 MB
  21 - Data types and data structures Lists English.srt 6.6 KB
  21 - Data types and data structures Lists.mp4 27.1 MB
  22 - An introduction to Dataframes English.srt 4.1 KB
  22 - An introduction to Dataframes.mp4 16.7 MB
  23 - Indexing and querying Dataframes English.srt 5 KB
  23 - Indexing and querying Dataframes.mp4 21.9 MB
  24 - Modifying Dataframes English.srt 4.7 KB
  24 - Modifying Dataframes.mp4 24.8 MB
  25 - Handling missing values in R English.srt 5.8 KB
  25 - Handling missing values in R.mp4 37.4 MB
  26 - Overview of functions in R English.srt 8.9 KB
  26 - Overview of functions in R.mp4 33.2 MB
  27 - Lab Functions in R get started English.srt 4.1 KB
  27 - Lab Functions in R get started.mp4 14.9 MB
  28 - Control Functions if if else else while switch repeat break return in R English.srt 4.8 KB
  28 - Control Functions if if else else while switch repeat break return in R.mp4 32.2 MB
  29 - For Loops in R an overview English.srt 4.1 KB
  29 - For Loops in R an overview.mp4 16.5 MB
  3 - How to install R and RStudio in 2020 English.srt 4.2 KB
  3 - How to install R and RStudio in 2020.mp4 16.7 MB
  30 - Exercise4-DF.txt 1.5 KB
  30 - Lab For Loops in R English.srt 4.1 KB
  30 - Lab For Loops in R.mp4 24.8 MB
  31 - Bonus English.srt 2.6 KB
  31 - Bonus.mp4 36.5 MB
  4 - Lab Install R and RStudio in 2020 English.srt 6.4 KB
  4 - Lab Install R and RStudio in 2020.mp4 38.7 MB
  5 - Get started with R in RStudio overview English.srt 8.5 KB
  5 - Get started with R in RStudio overview.mp4 20.9 MB
  6 - Lab Get started with R in RStudio English.srt 9.8 KB
  6 - Lab Get started with R in RStudio.mp4 47.7 MB
  6 - R-Crash-Course-I-udemy-script.R 12.9 KB
  7 - What are the Packages in R English.srt 5 KB
  7 - What are the Packages in R.mp4 13.1 MB
  8 - Lab Installing Packages and Package Management in R English.srt 4.6 KB
  8 - Lab Installing Packages and Package Management in R.mp4 24.1 MB
  9 - About Calculations in R English.srt 3.5 KB
  9 - About Calculations in R.mp4 8.1 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 71 total files

Description


R Crash Course - Learn R-programming in 2 hours: R & RStudio

https://FreeCourseWeb.com

Last updated 11/2023
Duration: 2h29m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 712 MB
Genre: eLearning | Language: English

R Crash Course - a short and concise introduction to R and RStudio, R-programming for the Beginners

What you'll learn
This is a R crash course for anyone who previously had no or very little contact with script-based programming in R
The main goal is to establish the basic understanding needed for more advanced courses that uses R language, RStudio and R-programming
Learn how to install R and RStudio on your computer
The best about this course that in very concise manner: you will be able to learn all the fundamentals of R-programming in 2 hours!
You will learn Package Management in R & RStudio
How to calculate in R & RStudio
All data types in R-language
Learn about data frames, indexing data frames and dealing with the missing values in R & RStudio
Learn about functions, control structures and for loops in R & RStudio
All the R-scripts used in this course will be also provided to you

Requirements
Computer & interenet connection

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