Dates: 26 Feb – 01 Mar / 17 – 19 Apr 2024
Locations: Johannesburg, South Africa
Platform: Available In-Class / Online
HR data analysis training focus on the data side of human resource management. Using appropriate techniques and tools your department will be able to provide decision-makers with the insights to make better people decisions. This entry-level training course offers a solid understanding of HR data analytics and through numerous examples provides you with analytical experience. Due to the hands-on approach of this course, you will be able to immediately apply your new skills and insights within your organization.
Using industry tools, such as Excel and Power BI, you will learn how to merge, clean, and analyse large datasets. After analysing the data and crunching the numbers with your team you will be translating findings into actionable insights and implementing a data-driven approach to HR. By determining the impact of people-related decisions you’ll be able to support decisions and boost business performance.
What will I learn?
Understand the importance of data and analytical process for driving organizational decisions
Use Excel and PowerBI to process, combine, clean and analyse HR data
Calculate appropriate measures – KPIs and ROIs on HR activities
Identify analytical tools and methods for interpreting, and presenting HR data and support HR decisions
Have detailed knowledge of every step in the analytics process and be able to manage the HR analytics process from front to back
Know the most effective way to visualize and present data and translate outcomes into actionable insights
Generate effective reports and dashboards to communicate data-driven insights to organizational management
Coach and support other HR professionals in data analysis process
This course is for anyone interested in understanding and analysing HR data to make data-driven recommendations and decisions. This course is for you if you are in charge of HR analytics or just starting and want to start performing data analytics in HR departments. This course is relevant and appropriate for HR professionals, HR Managers, Data Scientists and Analysts.
Our diverse instructional approaches ensure effective learning:
– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.
An overview of HR analytics
Differences between HR metrics and HR analytics
Basic guidelines in HR analytics
Role of HR analytics within the organization
The purpose of HR data/metrics
Strategy and data driven decision making
People analytics and People science- new trends in human resource analytics
Agile HR analytics
Analytical Techniques and Data in HR
Determining measures and data requirements
Analytical models and applications in HR – HR3P
Collecting data and determining data accuracy
Important variables and metrics of interest – KPIs
Linking HR to ROI – quantitative approach to workforce ROI
Analytical research methods
Analytical process and interpretation of results
Choosing the right method to analyse data
The analytical process description
Tools for analysis
Technical considerations of analysis
Steps required to conduct analysis
Data analysis in Excel
Cleaning and merging data from different sources
Exploratory data analysis
Statistical methods in Excel – correlation, linear regression
Simulations in Excel
Creating dashboards and analytical reports in Excel
Interpreting analytical results
Tables in Excel – basic powerful analytical tool
Advanced Excel functions
Presentation of results – analytical reporting
Building dashboards in Excel
Monitoring and tracking variables of interest with dashboards
Visualizations and reporting with Power BI
Data manipulations and transformations
Connecting to different data sources
Creating and Structuring HR data model
Visualizing HR data using Power BI dashboards
Publishing HR reports and dashboards