Programme Outline
Learning Objectives
- Have a clear understanding of data science and its application
- Introduction to Analytics in general and HR Analytics
- Understand the difference between descriptive and predictive analytics
- Understand tools and techniques for building a HR Analytics function. This includes:
- Knowing the right skillsets to start a HR Analytics function
- Understanding the integration of the various functions to support HR Data Analytics
- Understanding the systems and technology needed to drive the HR Analytics function
- Understand types of data sources and how to integrate HR with other business systems
- Secure knowledge about data management, protection and privacy
- Secure skills in Critical Issue Analysis to define key areas of measurement for HR
- Know how to select the right data and clean databases
- Introduction to basic statistics and techniques to perform simple data analysis for selected Human Resource questions. The techniques introduced will include:
- Correlation analysis
- Linear regression
- Multiple linear regression
- Scatterplots and Bubble Charts, Histograms, etc
- ANOVAs
- Able to employ story-telling techniques and build dashboards to translate data into meaningful information for management decision making.
There will also be a demonstration on how to use Power BI to build dashboards.
Part 1 – Statistical Techniques You Will Learn
- Basic Statistical Concepts
- Correlation Analysis
- Linear Regression
- Multiple Linear Regression
- ANOVAs
- Scatterplots and Bubble Charts, Histograms, etc
Part 2 – HR Analytics in Action
Participants will take on practice sessions and learn how to apply analytics in their HR functions:
- Using ANOVAs to track recruitment cycle time
- Learning Analytics to measure training efficiency
- Turnover Driver Analysis – Correlation Analysis to understand employee exits
- Employee Benefit Analysis – Reviewing cost effectiveness through use of Linear Regression
Part 3 – Assessment
Test
At the end of the first half of the workshop, participants will be given a short written test of 2 questions to assess their understanding of basic HR analytics concepts.
Storytelling
Participants will be given a case study using simple statistical tools to develop a set of both descriptive and predictive analytics for a selected Human Resource program. They will then be asked to develop a presentation of the results using story-telling techniques taught in the class.
Assessment
- In-class final group project and presentation
- Attendance and class participation
- In-class quiz and assignment