Introduction to Data Science Methods in R and Python

This course provides the necessary foundation for collecting, manipulating, visualizing, and analyzing a variety of common data sources principally in the R programming language, but with some exercises and instruction in getting started with Python towards the end. HR workforce functions will be the primary data-set used in the classroom. Students will learn how to write R and Python code to handle common reporting tasks, understand relationships between phenomena in the workforce, analyze large amounts of text information from sources like employee surveys, and more - all in an automated and reproducible manner.
Continuing Education Units (CEU) : 1

You'll walk away with

• Fundamental knowledge of the R and Python programming language for data collection, processing, visualization, analysis, and statistical modeling
• The foundational ability to load, transform, analyze, visualize, and export data common to people analytics and reporting projects

Ideal for

• Those interested in how people analytics affects business decisions
• HR professionals who are seeking to broaden their data analytics skills