Certified HR Analytics 3.O

•Definition, Scope, and Evolution: From Operational Metrics to Advanced Analytics.

•Benefits and Applications Across HR Functions.

•Gamification in HR: Enhancing Employee Engagement, Development, and Retention Analytics.

•Key Trends: Generative AI, Blockchain, and Future Directions in HR Analytics.

•Identifying relevant HR data sources.

•Techniques for data cleaning and preparation.

•Ensuring data quality and integrity.

•Key metrics and performance indicators for HR analysis.

•Descriptive Analytics: Understanding current trends.

•Predictive Analytics: Anticipating future HR scenarios.

•Introduction to analytical tools:

•Excel for HR analysis.

•R and Python basics for HR analytics.

•Applying advanced predictive models for HR applications.

•Statistical modeling and trend forecasting.

•Introduction to advanced techniques:

•Data blending, joins, and unions.

•Applying calculations: aggregate, table, and level of detail (LOD).

•Talent Acquisition and Recruitment:

•Predictive attrition.

•Background verification (BGV) analysis.

•Employee Performance and Engagement:

•Leave analysis and grouping data.

•Bradford factor analysis.

•Retention and Turnover Analysis:

•Full and final (FNF) analysis.

•Exit analytics and insights.

•Learning and Development:

•Training effectiveness analysis.

•Goal seek and payroll analysis.

•Understanding the Tableau interface.

•Connecting to various data sources.

•Data manipulation and preparation.

•Basic chart creation (bar, line, and pie charts).

•Design principles: layout, color, and labeling.

•HR-Specific Applications in Tableau

•Visualizing HR metrics effectively.

•Building dashboards tailored for HR insights.

•Case studies: Success stories in HR analytics.

•Utilizing filters, sorting, and grouping.

•Implementing drill-down and hierarchies.

•Advanced visualization techniques:

•Designing dashboards for interactivity.

•Applying parameters and interactive filters.

•Customizing story points for impactful storytelling.

•Designing interactive dashboards for HR insights.

•Incorporating visualizations into dashboards.

•Adding filters, parameters, and drill-down features.

•Creating compelling stories using Tableau.

•Workforce Analytics for Resource Planning and Talent Pipelines.

•Predictive Analytics for Recruitment, Diversity Hiring, and Business Growth.

•AI-Powered Recruitment: Resume Parsing, Chatbots, and Shortlisting.

•Forecasting Workforce Needs and Succession Planning.

•Role of Generative AI in automating HR processes.

•AI-driven resume screening and candidate shortlisting.

•Crafting personalized learning and development pathways.

•Employee sentiment analysis using AI-generated insights.

•Leveraging AI to predict workforce trends and needs.

•Measuring Engagement, Performance, and Retention Trends.

•AI in Sentiment Analysis and Feedback Processing.

•Real-Time Workforce Productivity and Remote Work Analytics.

•Diversity, Equity, Inclusion Metrics, and Wellness Analytics.

•Understanding gamification concepts and their relevance in HR.

•Designing gamified recruitment processes to attract top talent.

•Metrics for evaluating the effectiveness of gamified HR initiatives.

•Creating interactive learning modules for employee upskilling.

•Simulated environments for leadership and team-building exercises.

•Tools Overview: Tableau, Power BI, Python, R.

•Advanced Tableau Techniques: Dashboards, Geospatial Analysis, and Predictive Visualizations.

•Practical Applications: HR Case Studies and Success Stories.

•Capstone Project: Develop AI-integrated HR Analytics for Real-World Challenges.

•Personalized 1-on-1 Trainer Session - Receive a customized training session with ongoing access to relevant topics, ensuring lifelong support