Transforming HR Data Reporting with Power BI and AI Analytics - Virtual Learning
Course Methodology
This training course follows a blended, practical approach featuring guided demonstrations, instructor-led walkthroughs, and hands-on exercises using HR datasets. Participants will build their own Power BI dashboards, apply AI analytics tools, and practice transforming complex HR data into engaging, decision-ready insight visualizations.
Course Objectives
At the end of this training course, you will learn to:
- Develop HR dashboards and automated reports using Power BI
- Apply data modeling and transformation techniques for HR datasets
- Interpret trends using AI-enhanced workforce analytics
- Build visualizations that support strategic HR conversations
- Use predictive analytics to anticipate workforce needs and risks
Target Audience
This Gulf Rowad Transforming HR Data Reporting with Power BI and AI Analytics training course is ideal for HR professionals responsible for reporting, analytics, and workforce intelligence, including:
- HR Analysts and Reporting Specialists
- HR Managers and Business Partners
- Talent Management and Workforce Planning Professionals
- Learning & Development Data Analysts
- HRIS and HR Technology Professionals
- Anyone aiming to modernize HR reporting with analytics tools
Target Competencies
Organisational Impact
Organisations will benefit from improved HR analytics capability through:
- Higher reporting accuracy and reduced manual reporting workload
- Better workforce decisions driven by real-time analytics
- Enhanced leadership visibility into HR performance metrics
- Stronger alignment of HR insights with organisational strategy
- Improved employee planning through predictive analytics
- A modernised HR reporting function built on automation and intelligence
Personal Impact
Participants will enhance their analytical and technical competence through:
- Stronger proficiency in Power BI data modeling and dashboard creation
- Improved ability to derive insights from complex HR datasets
- Confidence in presenting analytics to senior stakeholders
- Knowledge of AI tools that elevate HR decision-making
- Sharper analytical thinking and interpretation skills
- Enhanced professional value as an HR analytics contributor
Course Outline
Foundations of HR Data & Preparation
- Types of HR data (categorical, binary, continuous)
- Data cleaning in HR (duplicates, missing values)
- Outliers & winsorising
- Logarithms and scaling
- Ethics of HR data (privacy, integrity)
- Hands-on Excel + Power Query cleaning
Statistical Analysis for HR Insight
- Mean, median, mode, distributions
- Variability & normality
- Correlation analysis
- Simple regression for HR (turnover vs satisfaction, etc.)
- Intro to panel data (if needed)
- Hands-on regression in Excel & Power BI
Textual Analytics for HR Reporting
- Textual analysis in HR context (exit interviews, surveys)
- Bag-of-words, tokenisation, cleaning
- Measuring readability (Flesch, GFI)
- Tone analysis (positive/negative sentiment)
- Automated disclosure or communication analysis
- Hands-on Python-free NLP using Excel/Power BI
HR Reporting & Dashboard Tools
- Pivot tables & pivot charts
- VLOOKUP / XLOOKUP
- Conditional formatting
- Time-series & trend analysis
- Visual design principles for managers
- Hands-on KPI dashboards in Excel
HR Dashboards with Power BI & AI
- Connecting to HR data
- Building relationships & simple DAX
- AI visuals:
- Key Influencers
- Smart Narrative
- Decomposition Tree
- Q&A
- Designing executive dashboards
- Publishing dashboards to decision-makers
- Final project: Complete HR reporting dashboard
2026 Schedule & Fees
| Date | City | Language | Price | Action |
|---|---|---|---|---|
| 28 Jun - 02 Jul, 2026 | Online | English | USD 2,000 | Book |
| 28 Jun - 02 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | English | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | English | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | English | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | English | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | English | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | English | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | English | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | English | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | English | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | English | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | English | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | English | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | English | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | English | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | English | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | English | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | English | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | English | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
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