Udemy – Essential Fundamentals of R

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

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.
What are the requirements?

Students will need to install both R software and RStudio (instructions are provided)

What am I going to get from this course?

Over 46 lectures and 10.5 hours of content!
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.

What is the target audience?

Anyone who is interested in learning to use R software who is relatively new (or 'brand new') to using R
People who wish to learn the essential fundamentals of using R including data types and structures, inputting and outputting data and files, writing user-defined functions, and manipulating data sets
College undergrads and/or graduate students who are looking for an alternative to using SAS or SPSS software
Professionals engaged in quantitative analyses and/or data analyses tasks who seek an alternative to using SAS and/or SPSS software.