Essential Fundamentals of R

Data Types and Structures in R , Inputting & Outputting Data, Writing User-Defined Functions, and Manipulating Data Sets

3.95 (185 reviews)
Udemy
platform
English
language
Data Science
category
Essential Fundamentals of R
1,809
students
10.5 hours
content
Jul 2020
last update
$34.99
regular price

What you will learn

Install R and RStudio and engage in a basic R session

Understand the characteristics of different data types and structures in R

Be able to read in data and write out data files from various sources

Sort, select, filter, subset, and manipulate tables of data in R

Create and execute their own user-defined functions in an R session

Understand how to use the apply() family of functions to execute various actions against different R data structures

Know how to use reshaping and recoding "short cuts" for changing data types and for rearranging data structures.

Why take this course?

Essential Fundamentals of R is an integrated program that draws from a variety of introductory topics and courses to provide participants with a solid base of knowledge with which to use R software for any intended purpose. No statistical knowledge, programming knowledge, or experience with R software is necessary. Essential Fundamentals of R (7 sessions) covers those important introductory topics basic to using R functions and data objects for any purpose: installing R and RStudio; interactive versus batch use of R; reading data and datasets into R; essentials of scripting; getting help in R; primitive data types; important data structures; using functions in R; writing user-defined functions; the 'apply' family of functions in R; data set manipulation: and subsetting, and row and column selection. Most sessions present "hands-on" material that demonstrate the execution of R 'scripts' (sets of commands) and utilize many extended examples of R functions, applications, and packages for a variety of common purposes. RStudio, a popular, open source Integrated Development Environment (IDE) for developing and using R applications, is also utilized in the program, supplemented with R-based direct scripts (e.g. 'command-line prompts') when necessary.

Screenshots

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Reviews

Gregg
December 30, 2018
Incredible amount of detail but I find lectures slow moving as it was taken from live classroom lectures
Gbz2
December 14, 2016
It was an excellent overview and I used R along with it. It would help if an introductory slide told which packages to install first -- I was unsuccessful in doing this remotely. However, I learned a lot and will be taking more courses.
veselin
May 26, 2016
In general very good course. Most of the time very nice explanation. In some case presenter become lost
Yalini
May 19, 2016
The instructor was engaging and knowledgeable. The content was well structured. I have learnt a lot from this course.
Geoffrey
April 23, 2016
The introduction is OK. The speaker is very wordy and it would help to create a transcript and then have the speaker go through their podcast. Keep to the main points.
Selcuk
February 3, 2016
I strongly suggest people who start learning R, start with Prof. Hubona' courses. Very effective and impressive.

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579018
udemy ID
8/10/2015
course created date
11/22/2019
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