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BI Analytics Basics

Who Is This Certification For?

Tailored for professionals seeking to leverage data and AI to boost career growth and business outcomes.

Office Employees

Overwhelmed by AI uncertainty
and limited data skills

Small Business Owners

Struggling to turn raw data
into actionable insights

Immigrants & Career Switchers

Needing hands‑on skills
and “Canadian experience”

Course Modules & AI-Enhanced Projects

Five chapters cover BI fundamentals, data analytics, analytical tools, visualization, and trends—with hands-on deliverables. like designing BI architectures, cleaning data with GPT, running SQL queries, building dashboards, and generating AI-driven insights.

  1. Compare 3 BI tools (Power BI, Tableau, Looker) using ChatGPT to generate evaluation criteria.
  2. Design a basic BI system architecture for a small business, with GPT outlining data flow steps.
  3. Use ChatGPT to create a stakeholder dashboard map: who uses what data and why.
  4. Generate a business-friendly summary of BI benefits customized for 3 departments using GPT.
  5. Rewrite a real-world BI case study (e.g. Starbucks) into a 1-slide explainer using AI summarization.
  1. Clean a messy CSV file using Excel Copilot or Python script generated by ChatGPT.
  2. Walk through the 6-step process with GPT as a “co-pilot” guiding logic at each stage.
  3. Use GPT to classify and score 10 internal vs. external data sources for reliability and relevance.
  4. Prompt GPT to formulate a problem + KPIs based on a business scenario.
  5. Simulate a stakeholder interview using Claude to extract analytical needs from a prompt.
  1. Run basic descriptive + predictive analysis in Excel or Python using ChatGPT Code Interpreter.
  2. Write simple SQL queries with GPT's help to extract insights from a provided database schema.
  3. Use GPT to match business problems to the correct analytical method (e.g., regression vs. clustering).
  4. Design a regression model outline with variables using GPT's step-by-step logic.
  5. Create a tool comparison table (Python vs R vs SQL) auto-filled via GPT prompt.
  1. Build 3 core visuals (time trend, categorical, segmentation) using Power BI or Tableau with GPT assisting chart setup.
  2. Redesign a poor chart with GPT suggesting improvements to labels, layout, and message clarity.
  3. Auto-generate captions + chart summaries using GPT to translate visuals into actionable insights.
  4. Turn 3 visuals into a business slide story — GPT builds the narrative arc.
  5. Create a mini interactive dashboard (Power BI or Google Sheets) with GPT guiding structure and storytelling.
  1. Build a Personal AI Career Roadmap: use GPT to recommend tools, certifications, and career tracks.
  2. Use GPT to audit your current analytics tools and suggest 2-3 upgrades.
  3. Simulate an AI-driven use case: e.g., how real-time IoT data could optimize retail performance.
  4. Generate a data ethics checklist with GPT based on industry best practices.
  5. Use GPT to write a trend briefing on how AI or big data is reshaping your field or department.