The Working with R training course is designed to demonstrate an introduction to the fundamentals of the R programming language required to perform data analytics.
The course begins by exploring the language fundamentals, commonly used libraries, and advanced concepts necessary for data analytics. Next, it explores functions and data frames in order to read, write and manipulate data with R. The course concludes by examining common data analytics and graphing best practices so that data insights can be presented to business users in creative and interesting ways.
Purpose
|
Learn how to use R as a tool to perform data science, machine learning or statistics on large data sets. |
Audience
|
Data Scientists with a statistics background with some programming ability and advanced SQL analysis skills. |
Role
| Data Scientist |
Skill Level
| Introduction |
Style
| Learning Spikes - Workshops |
Duration
| 3 Days |
Related Technologies
| Big Data Training | R | Data Science |
Productivity Objectives
- Understand how R and the R environment can be leveraged to perform data analytics
- Install and configure a development environment including R, RStudio, and Github
- Build a simple application using R
- Evaluate R against other technologies like SAS, SPSS, etc.