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Udemy - R Crash Course -Learn R-programming in 2 hours ! R RStudio

      Author: Baturi   |   13 January 2021   |   comments: 0



Udemy - R Crash Course -Learn R-programming in 2 hours ! R RStudio

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 702 MB | Duration: 2h 27m


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
Description
'R Crash Course - a short and concise introduction to R and R Studio, R-programming for the Beginners'
This is an 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 use the R language, RStudio, and R-programming for example, for data science, machine learning, or statistical analysis in R. This is also a baseline course that I will recommend to my students to take to refresh their knowledge on learning R-programming language for my upcoming data science courses in R.
The best about this course that is in a very concise manner (2 hours!) you will be able to learn all the fundamentals of R-programming that will enable you to get started with R!
What will you learn in this course:
§ Package Management
§ Calculate with R
§ Variables
§ Vectors
§ Matrices
§ Lists
§ Data frames
§ Missing values
§ Functions
§ Control Structures
§ For loops
All the R-scripts used in this course will be also provided to you.
The course is ideal for professionals such as data scientists, statisticians, geographers, programmers, social scientists, geologists, and all other experts who need to use statistics & data science in their field.
This course is NOT for you if you an intermediate or advanced user of R and don't need an introduction to R programming!
Let's get started!
Who this course is for:
The course is ideal for professionals such as data scientists, statisticians, geographers, programmers, social scientists, geologists, and all other experts who need to use statistics & data science in their field.
This course is NOT for you, if you an intermediate or advanced user of R and don't need an introduction to R programming!

Homepage
https://www.udemy.com/course/r-crash-course-introduction-to-r-rstudio-r-programming/


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