R Programming for Statistics and Data Science

R Programming for Data Science & Data Analysis. Applying R for Statistics and Data Visualization with GGplot2 in R

Created by: 365 Careers
Creating opportunities for Data Science and Finance students

Created by: 365 Simona (The 365 Team)
Data Science Instructor

What Will I Learn?

• Learn the fundamentals of programming in R
• Work with R’s conditional statements, functions, and loops
• Build your own functions in R
• Get your data in and out of R
• Learn the core tools for data science with R
• Manipulate data with the Tidyverse ecosystem of packages
• Systematically explore data in R
• The grammar of graphics and the ggplot2 package
• Visualise data: plot different types of data & draw insights
• Transform data: best practices of when and how
• Index, slice, and subset data
• Learn the fundamentals of statistics and apply them in practice
• Hypothesis testing in R
• Understand and carry out regression analysis in R
• Work with dummy variables
• Learn to make decisions that are supported by the data!
• Have fun by taking apart Star Wars and Pokemon data, as well some more serious data sets

Requirements

• You’ll need to install R Studio. We will show you how to do it in one of the first lectures of the course
• All software and data used in the course are free.

Target audience

• Aspiring data scientists
• Beginners to programming
• People interested in statistics and data analysis
• Anyone who wants to learn how to code and apply their skills in practice