
Course Summary

With advances in computer and data science and the enormous opportunity to share software applications, one statistical software application has stood out as a real game-changer. That software tool is called R. R is an open-source resource that provides access to tools by some of the greatest minds in statistics and data science. These tools include all the basic statistical methodologies but also cutting-edge methods that are only now developing in academic and industrial centers around the world. Learning how to use R effectively creates in the user enormous potential to approach routine and advanced tasks with ease.
In this course, you will:
-
Learn what R is and how you can make use of it in your daily work
-
Use R Studio to write and manage scripts
-
Develop facility with the most useful commands and learn how R is structured
-
Import data from a wide variety of sources and learn how to clean and manipulate it
-
Write your own functions and export results in graphical and numerical form
-
Manage multiple projects
The instructor for this course will be:
Syllabus
Topics
-
Welcome and introductions
-
Introduction to R
-
R and RStudio®
-
How to write scripts
-
Useful commands
-
-
Data Analysis
-
Importing data (Including CSV, XLSX, SPSS, SAV, etc.)
-
Data wrangling, cleaning, and manipulation
-
Functions for statistical analyses
-
Packages and libraries
-
-
Scripting and Project Managment
-
Writing custom functions
-
Data Structures
-
Visualization
-
Data export
-
Register
Please enter your information below to register for this course.