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Introduction to Data Science Methods in R and Python

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  R programming language, but with some exercises and instruction in getting started with Python towards the end. Learn how to write R and Python 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 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 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
NO open sections available for this course at the moment. Please check back next semester.
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    • Section

      1
    • Semester

      Fall 2024
    • Date

      Sep 21 - Oct 19
    • Day

      Saturday
    • Time

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

      Online
      • Online
    • Sessions

      5
    • Faculty

      Bhupathi, Kent
    • Location

      Instructor Led
    Tuition $600
    • Section

      2
    • Semester

      Spring 2025
    • Date

      Feb 8 - Mar 8
    • Day

      Saturday
    • Time

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

      Online
      • Online
    • Sessions

      5
    • Faculty

      Bhupathi, Kent
    • Location

      Instructor Led
    Tuition $600