Intermediate Data Science for HR Professionals
About This Course
By the end of this course, participants can expect to:
• Understand and apply the fundamental HR data analytics building blocks and linking them to the core business;
• Learn about the robust methods for data collection;
• Interpret a mix of descriptive, predictive, and prescriptive analytics tools, as well as causal inference techniques;
• Learn about basic coding skills and machine learning for manipulating swaths of data;
• Understand data-driven story telling approaches for developing a narrative that makes sense for your business leaders;
• Prepare, analyse and identify business insights for elevating the impact of HR to your organisation’s success.
Participants will also get to work on practical HR problems using machine learning techniques. These problems include:
o Employee Turnover Analysis using Logistic Regression
o Developing Engagement Surveys,
o Workforce Planning Analytics,
o Leave Likelihood Analysis,
o Compensation and Benefit data;
o Employee performance;
What You'll Learn
This course goes beyond tracking of traditional HR metrics to showing you the fundamental building blocks of HR data science, and teaches you the basic coding skills for deriving the necessary insights for action and decision making.
You will be exposed to more data science techniques including in-depth data collection techniques, data modelling and statistical analysis, and analytics and machine learning for manipulating swaths of data without getting overwhelmed.
This is an immersive course where you will be exposed to real HR data sets to elevate your data analytics skills from basic to intermediate.
Entry Requirements
a. Bachelor's degree
b. Working professionals