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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.

More details

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

  • Spring 2021

    • Section

      001
    • Semester

      Spring 2021
    • Date

      Apr 17 - May 15
    • Day

      Saturday
    • Time

      10:00AM-1:00PM
      • Online
    • Format

      Online
      • Online
    • Sessions

      5
    • Location

      Instructor Led
  • Summer 2021

    • Section

      001
    • Semester

      Summer 2021
    • Date

      Aug 7 - Aug 28
    • Day

      Saturday
    • Time

      10:00AM-1:00PM
      • Online
    • Format

      Online
      • Online
    • Sessions

      4
    • Faculty

      TBA
    • Location

      Instructor Led