During this R programming virtual training course, you will learn how to use R for data analysis. We’ll start with a discussion of the R language and how to install the R language interpreter and RStudio, the popular R integrated development environment. We’ll learn how R can be extended with modules called packages and discuss some of the popular packages in use. We’ll delve into the unique features of R that make it so suitable for data science. The core R data structures; vectors, matrices, arrays, and data frames, will be discussed with examples. Before moving into predictive modeling, we’ll do a quick overview of key concepts in statistics. From there we will walk through the training, testing, and evaluation of a predictive model. Since many people will be using data from relational databases, we will explain how to use the RODBC package to read in data using a SQL Server table as an example. The course wraps up by discussing related topics such as scaling R programs, creating R based web applications, and creating dynamic presentations with R Markdown.
Overview
COURSE DIFFICULTY
COURSE DURATION
8h 40m
Skills Learned
After completing this online training course, students will be able to:
Navigate the platform interface and core features
Apply fundamental concepts to practical scenarios
Build foundational skills for continued learning
Report Developers
None
01. What You Need to Get Started
02. Introduction
03. Basic Formatting and Templates
04. Sharing and Collaboration
05. Document Organization and Storage
06. Class Wrap Up
SKILLS LEARNED
Skills Learned
After completing this online training course, students will be able to:
Navigate the platform interface and core features
Apply fundamental concepts to practical scenarios
Build foundational skills for continued learning
WHO SHOULD ATTEND
Report Developers
PREREQUISITES
None
COURSE OUTLINE
01. What You Need to Get Started
02. Introduction
03. Basic Formatting and Templates
04. Sharing and Collaboration
05. Document Organization and Storage
06. Class Wrap Up
