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AI-Enabled Business Analytics

One-Month Intensive — business thinking first, then data & visualization. No coding required.

Learn Business Analytics from scratch. Master structured problem-solving, stakeholder communication, and use AI to accelerate your analysis.

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schedule

Duration & Commitment

4 weeks (20 teaching days, 5 days/week).
~3 hours daily (≈1.5 hr concept, ≈1.5 hr applied practice).

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Structure

Weeks 1–2: business fundamentals & problem-solving frameworks.
Weeks 3–4: data & visualization.

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Level & Audience

Beginner to intermediate; no coding or SQL required.
For aspiring analysts, consultants, product/ops people, managers.

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Toolkit

Spreadsheets, AI assistants, no-code BI tool (Power BI or Tableau).

lightbulbOur Philosophy

Business Judgment Over Tooling

"Analytics starts with business judgment, not tooling. Learn how a business works and how to structure a problem with proven frameworks first, then answer those questions with spreadsheets, AI, and dashboards — no programming. AI is a thinking partner, never a replacement for judgment."
smart_toyHow AI Is Used

Your Thinking Partner

  • check_circleWeeks 1–2: Practice frameworks at speed, role-play stakeholder interviews with AI, and pressure-test logic.
  • check_circleWeeks 3–4: Generate formulas, accelerate cleaning/exploration, build dashboards with BI copilots, and draft insight narratives — always with a human check.
  • schoolThe Daily "AI Drill": Use AI to do the task, then verify by hand.

Learning Outcomes

By the end of this intensive course, you will be able to:

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Understand Value Creation

Explain how a business creates, delivers, and captures value, and read its core metrics.

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Structure Problems

Structure a fuzzy problem into clear, testable questions using the right framework.

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Manage Stakeholders

Run stakeholder interviews and turn them into requirements and hypotheses.

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Analyze Data (No Code)

Clean, explore, and analyze data using spreadsheets and AI — no code.

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Build Dashboards

Build clear visualizations and interactive dashboards.

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Deliver Recommendations

Deliver an evidence-backed recommendation and communicate it like a consultant.

4-Week Curriculum

A hands-on, framework-first approach.

Week 1architecture

Business Fundamentals & Structured Problem-Solving (Pt 1)

Goal: Business literacy + first problem-solving frameworks.
  • todayDay 1: Business Model Canvas; Unit Economics (CAC, LTV, contribution margin, payback); AI drill.
  • todayDay 2: Porter's Value Chain; TAM/SAM/SOM; Jobs To Be Done; market-sizing exercise.
  • todayDay 3: North Star Metric, KPIs, OKRs; SCQ framing; AI drill.
  • todayDay 4: 5 Whys, Fishbone, Issue/Logic Trees, MECE; AI drill.
  • todayDay 5: Hypothesis-driven thinking, 80/20 (Pareto), first principles.
Weekend Case 1

Canvas + metrics, SCQ framing, MECE tree, root causes, top 3 hypotheses.

Week 2groups

Stakeholders, Requirements & Strategy (Pt 2)

Goal: Extract info from people, then zoom out to strategy and storytelling.
  • todayDay 6: Power/Interest Grid; interview techniques; AI role-play interview.
  • todayDay 7: Functional vs non-functional requirements; user stories; SIPOC & process mapping.
  • todayDay 8: Journey Mapping, AARRR, funnel, cohort, RFM; RICE, MoSCoW, Cost-Benefit.
  • todayDay 9: SWOT, PESTLE, Porter's Five Forces, Ansoff, BCG Matrix, McKinsey 7S.
  • todayDay 10: Minto Pyramid Principle; Situation→Insight→Recommendation→Action.
Weekend Case 2

Mock interview → requirements + process map → strategy framework → prioritized recommendation via Pyramid Principle.

Week 3data_exploration

Data: Prepare, Explore & Analyze (No Code)

Goal: Answer the framework questions using spreadsheets + AI.
  • todayDay 11: Data literacy; data quality dimensions; building an analysis-ready table.
  • todayDay 12: Spreadsheets as an analytics engine — lookups, pivots, conditional aggregation; verifying AI-generated formulas.
  • todayDay 13: Cleaning messy data — missing values, duplicates, outliers, reshaping.
  • todayDay 14: Exploratory Data Analysis; correlation vs causation.
  • todayDay 15: Diagnostic analytics — segmentation, trend analysis, and root cause verification with data.
Weekend Case 3

End-to-end data cleaning and exploratory analysis to prove or disprove the hypotheses from Week 1.

Week 4dashboard

Dashboards, Storytelling & Capstone

Goal: Visualize the findings and communicate actionable recommendations to stakeholders.
  • todayDay 16: Visualization principles; choosing the right chart for the right question.
  • todayDay 17: Introduction to BI Tools (Power BI / Tableau); connecting data sources.
  • todayDay 18: Building interactive dashboards with BI copilots.
  • todayDay 19: Data storytelling; crafting narratives and executive summaries.
  • todayDay 20: Final presentations, feedback, and course wrap-up.
Capstone Project

Present a comprehensive business strategy backed by a functional dashboard and Minto Pyramid narrative.

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