Programming in R: Cleaning and Transforming Data in RStudio

In this third short course in the "Data Analysis with R" series, you will learn everything you need to know to clean and transform data within RStudio IDE, and start analyzing data in R.

Here is what you'll learn how to:

• Select groups of observations and create new calculated fields
• Transform messy to clean dataset with Pivot and Mutate
• Transform messy to clean dataset with Mutate and String Replace
• Handling missing values in R
• Split and combine cells and columns in R
• Join data from different tables in R

Here is what you'll get:

> Six (6) Instructional Videos to walk you though, step-by-step, the RStudio interface to start importing your datasets and start programming in R

> Three (3) Cheat Sheets. You'll get one-pagers for quick reference to import, clean and transform data with RStudio

• Getting Started with RStudio cheat sheet
• Importing Data in RStudio cheat sheet
• Transforming (and Cleaning) Data In RStudio cheat sheet.

> Two (2) practice activities and One (1) Capstone to build your confidence cleaning data using RStudio.

> ALL the files used in this project

Here is what to do next:

Say goodbye to the frustrating "steep" R learning curve

Say goodbye to complicated native base R commands

... and join me in this online class. >>>>>

Click the "I WANT THIS" on the right

OR

Disclaimer: This is not a course that will make you an "instant" expert in R. This is also not a course that promises you that you will learn everything R, just by watching the videos. This is an introductory video on the RStudio IDE plateform to learn how to start programming in R