Foundation Data Science for HR Professionals
Training Provider: SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN
Course Reference: TGS-2025058610
S$2,000
Original: S$4,000
Save S$2,000
About This Course
By the end of this course, participants should be able to / can expect to:
Develop a good grasp and understanding of HR Analytics
Understand tools and techniques for building a HR Analytics function
Understand types of data sources and how to integrate HRIS with other business systems
Understand techniques for analyzing business problems
Learn data management and data cleansing
Grasp Basic statistics and statistical techniques in correlation analysis, regression and ANOVAs
Basic storytelling techniques
What You'll Learn
In today’s digital economy, it is crucial for business professionals and leadership teams to be able to use analytics to manage Human Resources. With technological advancements towards a more data driven economy, it is imperative for HR professionals to understand data science and how to use techniques in data science to make sense of people data.
Participants will learn the fundamentals of data science and its applications; then progress to HR analytics, where they will learn techniques to start such a function within the HR Division. Topics covered will be comprehensive and will include the full value chain of the data science cycle, to having hands on practice with statistics and Power BI.
Day 1
- Key technological trends happening in Industry 4.0 and importance of analytical skills
- Introduction to Analytics and use of Data in Decision Making
- Introduction to Strategic Workforce Planning and data-driven decision making
- Introduction to the Balance Scorecard and HR Scorecard for developing KPIs
- Hands-on exercise: Using Excel to work on performance modelling
Day 2
- Data Management
- Identify sources for data collection
- Recognise the different ways to collect data
- Execute data acquisition
- Perform data cleansing
- Prepare and transform data
Day 3
- Working with Data
- Developing a workforce map
- HR Dash-boarding and Data Warehousing
- Introduction to Financial HR – ROI
Day 4
- Introduction to Statistics
- Data Analysis in Excel
- Developing the Hypothesis or Business Question
- Hands-on Exercises
- Correlation and Regression, ANOVAs
- Developing Dashboards using Power BI
- Data Storytelling
Day 5
- De-brief and summary of Lesson 1 to Lesson 4
- Sharing from Industry Practitioner on use of HR Analytics
- Presentation by Teams on Project
- Assessment by Industry Panel
- Summary and Conclusion
Assessment
- Short quizzes at the end of each class
- Class assignment from curating of data and final presentation
Participants will learn the fundamentals of data science and its applications; then progress to HR analytics, where they will learn techniques to start such a function within the HR Division. Topics covered will be comprehensive and will include the full value chain of the data science cycle, to having hands on practice with statistics and Power BI.
Day 1
- Key technological trends happening in Industry 4.0 and importance of analytical skills
- Introduction to Analytics and use of Data in Decision Making
- Introduction to Strategic Workforce Planning and data-driven decision making
- Introduction to the Balance Scorecard and HR Scorecard for developing KPIs
- Hands-on exercise: Using Excel to work on performance modelling
Day 2
- Data Management
- Identify sources for data collection
- Recognise the different ways to collect data
- Execute data acquisition
- Perform data cleansing
- Prepare and transform data
Day 3
- Working with Data
- Developing a workforce map
- HR Dash-boarding and Data Warehousing
- Introduction to Financial HR – ROI
Day 4
- Introduction to Statistics
- Data Analysis in Excel
- Developing the Hypothesis or Business Question
- Hands-on Exercises
- Correlation and Regression, ANOVAs
- Developing Dashboards using Power BI
- Data Storytelling
Day 5
- De-brief and summary of Lesson 1 to Lesson 4
- Sharing from Industry Practitioner on use of HR Analytics
- Presentation by Teams on Project
- Assessment by Industry Panel
- Summary and Conclusion
Assessment
- Short quizzes at the end of each class
- Class assignment from curating of data and final presentation
Entry Requirements
At least a Diploma or Bachelors Degree and about 5 years of related HR experience
Course Details
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