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Detailed page for Introduction to Data Science Methods in R and Python

Course/Program: Quick Facts

  • Official name: Introduction to Data Science Methods in R and Python
  • Year first launched: 2020
  • Affiliated with an accredited university: Yes, with New York University, School of Professional Studies
  • Website: https://www.sps.nyu.edu/professional-pathways/certificates/human-capital-management/people-analytics/HRMD1-CE9315-introduction-to-data-science-methods-in-r-and-python.html

Course/Program Details

  • Target Audience: HR Professionals
  • Proficiency Level: Beginner/Foundational, Intermediate
  • Delivery Format: Online Self-Paced
  • Typical Completion Time: 1-2 months
  • Hours Instruction / Coursework per Week:
  • Number of Students Completed the Program: 51-200

Certification & Cost

  • Credential upon Completion:No formal credential
  • Pricing Structure: One-time payment ~ Total Cost (USD): $501-$1,000
  • Are scholarships or financial assistance available: No

Course Description

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.

Detailed Course Content

  • Primary Topics Covered: People Analytics Fundamentals, HR Data Management, HR Metrics and KPIs, Statistical Analysis for HR, HR Data Visualization
  • Software/tools used:
  • Notable instructors or contributors:

Additional Information

  • Hands-on projects or capstone experiences:
  • Is this course/program eligible for continuing education credits or professional certifications: