Introduction to Data Science for HCM in Python and R
An increasing mandate for many HR functions worldwide is to adopt tools for processing and analyzing large amounts of workforce data quickly, efficiently, reproducibly, and at scale, from a variety of sources. This course provides the necessary foundation for collecting, manipulating, visualizing, and analyzing a variety of common HR data sources principally in the Python programming language, but with exercises and focus using R. Learn how to write Python and R code to handle common HR 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.
You'll Walk Away with
- Fundamental knowledge of the Python and R programming language for data collection, processing, visualization, analysis, and statistical modeling
- The foundational ability to load, transform, analyze, visualize, and export data common to HR analytics and reporting projects, including data from HRIS systems, surveys, and bodies of text
Ideal for
- Those interested in working in the human resources field
- HR professionals who are seeking to broaden their data analytics skills
2 sections
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Spring 2021
-
Section
001 -
Semester
Spring 2021 -
Date
Apr 17 - May 15 -
Day
Saturday -
Time
10:00AM-1:00PM -
Sessions
5 -
Faculty
Voorhees, Bennet -
Location
Instructor Led
-
-
Summer 2021
-
Section
001 -
Semester
Summer 2021 -
Date
Aug 7 - Aug 28 -
Day
Saturday -
Time
10:00AM-1:00PM -
Sessions
4 -
Faculty
TBA -
Location
Instructor Led
-