This is a hands-on guide that walks you through concepts with examples using built-in R data. Every topic is enriched with a supporting example that highlights the concept, followed by activities that will gradually build into a full data science project to showcase skills learned. You will perform an end-to-end analysis, starting a data science portfolio.

• Using R, RStudio, and Installing Useful Packages
• Variable Types and Data Structures
• Basic Flow Control
• Data Import and Export
• Getting Help with R

LESSON 2: DATA VISUALIZATION AND GRAPHICS

• Creating Base Plots
• ggplot2
• Interactive Plots

LESSON 3: DATA MANAGEMENT

• Factor Variables
• Summarizing data
• Splitting, Combining, Merging, and Joining Datasets

This course is for analysts who are looking to grow their data science skills beyond the tools they have used before, such as MS Excel and other statistical tools.

Hardware:

This course will require a computer system for the instructor and one for each student. The minimum hardware requirements are as follows:

• Processor: i3
• Memory: 2 GB RAM
• Hard disk: 10 GB
• Internet connection

Software:

• Operating system: Windows 8 64–bit
• R and RStudio
• Browsers (Google Chrome and Mozilla Firefox – latest versions)