January Cohort: Power BI & AI for Sales and Marketing

Sales and marketing teams sit on more data than ever, and AI tools now sit right inside the dashboard. This course teaches you to connect, clean and model real sales and marketing data in Power BI, then use AI-native features like Key Influencers, Decomposition Tree and Copilot to work out what is actually driving a number, not just what the chart shows.

Over three weeks you will build a working dashboard on a running case (Aquarius Trust Bank and Sabi Pay), clean data by hand and with Copilot, diagnose a sales or marketing number using AI-assisted analysis, and turn that diagnosis into a stakeholder-ready narrative. You will also design a simple AI reporting agent and learn what it should never send without a human check.

The course runs as a live cohort (Wednesdays 6-8pm WAT (GMT+1)) with full self-paced access to recordings, or as a self-paced track for anyone who prefers to work through it on their own schedule. It ends with a capstone: diagnose, dashboard, defend.

Skill LevelBeginner
CommunityYes
Duration3 weeks (3 live sessions, 6 hours total, plus self
CertificateYes
Power BI & AI for Sales and Marketing - Product thumbnail
NGN 200,000.00

What you'll learn

  • Connect Power BI to real sales and marketing data and clean it with Copilot
  • Diagnose what is driving a sales or marketing number with Key Influencers and Decomposition Tree
  • Turn a dashboard finding into a stakeholder-ready narrative using a general-purpose AI tool
  • Design a simple AI reporting agent and know what it should never send without a human check
  • Build a working Power BI dashboard and defend a diagnosis in front of stakeholders

What's Included

  • Live Wednesday sessions (6-8pm WAT (GMT+1)) plus full recordings for self-paced review
  • Hands-on practice with Power BI, Copilot, Key Influencers and Decomposition Tree
  • A running case and cleaned datasets to practise on, not just toy examples
  • A capstone dashboard and diagnosis you can show an employer or client

Curriculum

Week 1

Jan 13 - Jan 17, 2027

Week 2

Jan 18 - Jan 24, 2027

Week 3

Jan 25 - Jan 31, 2027