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R Programming A-Z: R For Data Science With Real Exercises is the name of a training course offered by the Udemy website that teaches you how to program in R language and work with the R Studio development environment. R is a programming language that is widely used in statistical computing and data science. Learning this language can be difficult and tedious for beginners, but this course will help you to learn the R language in a principled way by providing effective exercises.
If you have no experience in programming or statistical analysis, this course will be perfect for you. Each video in this course is dedicated to a new topic and provides various examples to help you learn the concepts well and use them in your exercises. This course fully covers the topics of data analysis, data science, statistical analysis, packages, functions, and the GGPlot2 visualization package, making you an R programming expert.
Introduction to professional programming in R language
Learn how to use the R Studio development environment
Learn the basics of programming
How to make vectors in R
Build variables
Familiarity with different types of data types
For and while loop training
Construction and use of matrices
Familiarity with the matrix, rbind and cbind functions
Learn how to install packages
Working with statistical data in R
Understand normal distribution
Working with financial data
Work with sports data
English language
Duration: 10h 39m
Number of courses: 82
Instructor: Kirill Eremenko, SuperDataScience Team
File format: mp4
No prior knowledge or experience needed. Only a passion to be successful!
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Changes:
Version 2020/3 compared to 2018/11, 3 lessons, 2 minutes and subtitles have been added.
Version 2020/4 has not changed in number of courses and total time compared to 2020/3, but the time of topics has changed.
Version 2020/8 has increased by 2 lessons and 2 minutes compared to 2020/4.
Version 2020/12 has not changed in the number of courses and total time compared to 2020/8 and has not been updated.
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