Right now, some businesses are guessing. Others are growing because they understand their...
This 4-week practical crash course is built for business owners, team leads, operations managers, analysts, and professionals who need to do the analyst's job with AI as a force multiplier. You work through one continuous project across 8 live, hands-on sessions.
Every learner works with the same 18-month, 50,000-row retail dataset (sales, products, stores, customers, and loyalty data), growing it session by session into a finished decision intelligence product. Integrated coverage spans Data Analytics & AI, Power BI, Google Data Analytics, and AI-Powered Decision Intelligence, with ChatGPT, Claude, Gemini, Copilot, and Colab at the core of every session.
Pre-class videos flip the lecture; live time is 100% build-along. Between sessions you complete guided homework with AI as your always-on tutor. The goal is AI-assisted competence in spreadsheets, SQL, Python, and Power BI, not manual mastery of every tool in 16 hours.
Week 1
Output: Stakeholder Brief
Week 1
Output: Cleaned workbook + executive summary
Week 2
Output: 10 BigQuery queries (queries.sql)
Week 2
Output: EDA notebook on GitHub
Week 3
Output: 3-page Power BI report
Week 3
Output: Published dashboard link
Week 4
Output: Working AI analyst agent
Week 4
Output: Decision Memo + live demo
Capstone: Save the Store Decision Intelligence Product
You are the Head of Analytics for a 30-store retail chain. The CEO must decide within 7 days: which 5 stores to close, which 10 products to push, and which 1,000 customers to win back. You deliver a complete decision package built across all 8 sessions.
Graduates use the skills from this program to move into analytics-heavy roles, lead reporting in their current teams, or charge more for data-driven consulting work.
From ₦150,000 (online), this is a practical investment in skill growth and career mobility, not a one-off expense.
| Role | Nigeria | UK | US |
|---|---|---|---|
| Business Data Analyst | ₦4.8M – ₦9M | £35k – £60k | $70k – $110k |
| BI / Reporting Analyst | ₦5.5M – ₦11M | £38k – £65k | $75k – $120k |
| Growth Analytics Specialist | ₦6M – ₦12M | £40k – £70k | $80k – $125k |
| Operations Intelligence Lead | ₦7M – ₦15M | £45k – £75k | $90k – $135k |
Salary ranges are approximate annual figures based on market data. Actual earnings depend on experience, industry, and location.
Online is paid in full. Physical attendance can be spread across 3 instalments. Scholarship applications are open for this cohort.
Online (Live)
₦150,000
Join live sessions remotely with full cohort access.
Physical (In-person)
₦250,000
Attend in person for hands-on sessions and direct facilitator support.
3 instalments: ₦83,334/month
Do I need coding or analytics experience before I join?
No. We teach spreadsheets, SQL, Python, and Power BI with AI as your co-pilot from the ground up. You learn to verify and defend AI output, not memorize every formula or function.
How much time do I need every week?
Plan for 11-13 hours/week · 44-52 hours over 4 weeks: 4 hours/week (2 × 2-hour sessions) live, ~1 hour/week (videos & reading) pre-class, and 6-8 hours/week (guided practice with AI) homework between sessions.
What if I cannot afford full payment at once?
Online is paid in full. For physical attendance, you can split payment into 3 instalments before the cohort starts. Contact admissions to set up your plan.
Will this help me get better roles or clients?
Yes. You finish with a public portfolio: GitHub notebook, published Power BI dashboard, working AI agent, SCQA decision memo, and LinkedIn insights. These are the artifacts employers and clients actually want to see.
Join the Business Analytics & AI cohort and build the decision system your business can use every week.
