Data analytics program
Data Analytics using Excel, Power BI and AI
From Raw Data to Decision-Ready Insights
Five modules and an integrated capstone that take professionals from raw data to decision-ready insight, with AI as a co-pilot at every stage and every AI output validated by the analyst.
- Dates: 21 Nov – 19 Dec 2026
- Duration: 9 sessions · 40 hours
- Format: Sat on-site · Mon online
- Location: El Maadi + live online
- Instructional hours
- 40 h
- Modules + capstone
- 5
- Dedicated AI
- 3 h
- Business cases, start to finish
- 5+
Every Saturday on-site at Orillia, El Maadi (10:00 AM – 4:00 PM · 6 h). Every Monday live online (7:00 – 10:00 PM · 3 h).
From raw data to decision-ready insights
Prepare reliable, refreshable data. Model it, measure it and find what it says. Turn findings into recommendations, then communicate, monitor and follow through. New: AI as a co-pilot at every stage, and every AI output validated by the analyst.
- 1Data
- 2Insight
- 3Decision
- 4Action
Designed for professionals who report and decide
Business & data analysts
Reports others rely on
Managers who own KPIs
Answers, not just numbers
Finance & FP&A
Budget vs. actual, margin
HR & L&D
Headcount, turnover, training
Sales & commercial
Revenue, pipeline, product mix
Operations & CX
SLA, quality, CSAT
Prerequisites
- Working Excel: tables, basic formulas, charts
- No Power BI, DAX or coding experience needed
- Windows laptop (Power BI Desktop is Windows-only)
- Stable internet and webcam for any online sessions
What participants will be able to do
-
Translate
Business questions into KPIs
-
Prepare
Refreshable, multi-source data
-
Model
Star schema with a date table
-
Measure
KPI, variance and time-intelligence DAX
-
Design
Executive-ready dashboards
-
Augment
Use AI in all data analytics processes
-
Deploy
Publish, share, secure, refresh
-
Recommend
Evidence-based business decisions
Five modules, one learning journey
Each module answers a business question and produces an output that feeds the next.
Data Analytics & Excel
- Business question
- What is happening, and can we trust the data?
- Output
- KPI Framework & Excel Dashboard
KPIs · PivotTables · dashboards
- KPI thinking and data quality checks
- Excel tables, formulas, PivotTables and PivotCharts
- Trend, variance, budget vs. actual
- Slicers, timelines; one-page Excel dashboard
The Management Report Is Wrong
- Output: KPI framework and Excel dashboard
- Feeds Module B
Data Preparation & Automation
- Business question
- Can we refresh it without rework?
- Output
- Refreshable Power Query Workflow
Clean · combine · automate
- Excel, CSV, folder and web sources; profiling
- Clean, merge, append, pivot and unpivot
- Parameters, folder consolidation, M fundamentals
- Validate and automate a refreshable workflow
Automate the Monthly Report
- Output: refreshable Power Query workflow
- Feeds Module C
Data Modeling & Analysis
- Business question
- Can we measure it reliably?
- Output
- Star-Schema Model & Validated DAX
Star schema
- Fact and dimension tables; star schema
- Relationships, cardinality, filter direction
- Date table, fiscal year, hierarchies
- Model validation; common mistakes
Measures that hold up
- Measures vs. columns; filter context
- SUM, DIVIDE, SUMX, CALCULATE
- YTD, MTD, prior period, YoY %
- Budget vs. actual, variance %
Power BI: Dashboards & Service
- Business question
- What is the data telling leadership?
- Output
- Interactive Power BI Report
ETL → visuals → publish
- ETL, model and measures in Power BI
- Visuals, drill-down, drill-through, tooltips
- Bookmarks, buttons, mobile layout
Published, shared and secured
- Publish, workspaces, apps
- Sharing and permissions
- Row-level security, scheduled refresh
AI-Augmented Analytics
- Business question
- Can we trust the AI's answer?
- Output
- AI prompt & validation log
Prompts · AI visuals
- GenAI co-pilot: write, explain and debug DAX and M with ChatGPT, Claude or Gemini
- AI data prep: Column from Examples; Analyze Data in Excel
- MCP & responsible AI: MCP concepts + demo; privacy, access, human check
- AI visuals & validation: Key Influencers, Decomposition Tree, Narrative; the AI Audit
Labs
- Measure Factory: AI drafts 5 KPI measures; each checked against a known total
- Debug Clinic: fix broken measures and explain why they failed
- Why Did Returns Rise? AI visuals find drivers; measures confirm them
- The AI Audit: catch errors in an AI-written insight summary
Integrated Capstone
- Business question
- What should we decide, and why?
- Output
- Decision-ready solution presented to leadership
Start to finish
- One business case, from raw data to recommendation
- Excel, Power Query, model, DAX, Power BI and AI combined
- Insight summary and capstone presentation
Saturday 19 December
- Decision-ready solution presented to leadership
- Feedback on the analysis and the recommendation
Starting Saturday, 21 November 2026
Saturdays on-site at Orillia, El Maadi (10:00 AM – 4:00 PM) and Mondays live online (7:00 – 10:00 PM). 9 sessions, 40 hours, 21 Nov – 19 Dec 2026.
-
S1 · Module A: Data Analytics & Excel
10:00 AM – 4:00 PM On-site · El Maadi -
S2 · Module A: Excel Dashboard
7:00 – 10:00 PM Live online -
S3 · Module B: Data Preparation & Automation
10:00 AM – 4:00 PM On-site · El Maadi -
S4 · Module B: Refreshable Workflow
7:00 – 10:00 PM Live online -
S5 · Module C: Data Modeling
10:00 AM – 4:00 PM On-site · El Maadi -
S6 · Module C: DAX & Analysis
7:00 – 10:00 PM Live online -
S7 · Module D: Power BI Dashboards & Service
10:00 AM – 4:00 PM On-site · El Maadi -
S8 · Module E: AI-Augmented Analytics
7:00 – 10:00 PM Live online -
S9 · Integrated Capstone Presentation
10:00 AM – 2:00 PM On-site · El Maadi
AI as a co-pilot at every stage
Participants use AI to draft, explain and debug, then prove every answer. Each AI output is validated by the analyst before it reaches a decision.
-
Measure Factory
AI drafts 5 KPI measures; each checked against a known total
-
Debug Clinic
Fix broken measures and explain why they failed
-
Why Did Returns Rise?
AI visuals find drivers; measures confirm them
-
The AI Audit
Catch errors in an AI-written insight summary
What participants leave with
- KPI framework
- Excel dashboard
- Power Query workflow
- Data model & DAX measures
- Power BI report
- AI prompt & validation log
- Insight summary
- Capstone presentation
Intended business value
- Less manual, repetitive reporting
- Data managers can trust
- Faster, evidence-based decisions
- AI used productively, and safely
- Skills applied to real work problems
Learn from a Data & BI Leader
Mahmoud Serag
Corporate BI Trainer & Consultant
Credentials
- Microsoft Certified (MCITP & MOS)
- Certified Instructional Designer
- Udacity Data Analyst Nanodegree
- Train-the-Trainer (TOT) Certified
For 17 years, Mahmoud Serag has been turning data into decisions for teams across MENA. He has trained 3,000+ professionals at 80+ organizations, from the National Bank of Egypt, QNB and Paymob to Chevron, Dell and Saudi German Hospital, and built live dashboards for WHO, Tharwat and Raya CX. He leads the Power BI Developer track at Egypt's national DEPI initiative. In the room, he pairs Power BI, DAX and AI-analytics mastery with instructional design, so skills stick long after the workshop.
- Years turning data into decisions for MENA's leading organizations
- 17
- Professionals trained across 80+ organizations, 60+ of them enterprises
- 3,000+
- Average satisfaction rating across his training programs
- 4.8/5
What he brings to this program
- Power BI & DAX
- Excel & Power Query
- AI-Powered Analytics
- Dashboard & KPI Design
- SQL & Statistics
- Tableau & Data Viz
Orillia training halls, El Maadi
Saturday sessions and the capstone run face to face in our training halls in El Maadi. Monday sessions are live online.
- 111 Misr Helwan Agricultural Rd, Maadi, Cairo
- 0120 133 0888
- info@orilliaeg.com
Reserve your place
Send your details below and our team will get back to you to confirm your place.
- Dates21 Nov – 19 Dec 2026
- Duration9 sessions · 40 hours
- FormatSat on-site · Mon online
- LocationEl Maadi + live online
Questions? Call 0120 133 0888 or email info@orilliaeg.com.
Register your seat
Register your interest and our team will confirm your seat. No payment required online.
Data Analytics using Excel, Power BI and AI · 21 Nov – 19 Dec 2026
From raw data to decision-ready insight, with AI as your co-pilot.
Want this program delivered for your team only? We can run it in-house or at Orillia, tailored to your people.

