How is Business Analytics different from Data Analytics?

Data Analytics is typically deeper on preparing, querying and visualising data. Business Analytics starts from the decision and adds commercial modelling, forecasting, scenario planning, customer and market analysis, and stakeholder recommendation. You will still use Excel, SQL and Power BI, but always in the context of choosing what the business should do next.

Do I need a business degree or technical background?

No. The course begins with business problem framing and builds the technical skills step by step. Graduates, career switchers and professionals from operations, finance, sales, marketing or other functions can all use their existing context as an advantage.

How much mathematics and coding are required?

You do not need advanced mathematics or prior coding. The course focuses on practical statistics, forecasting, scenario analysis and SQL. The goal is to understand assumptions, interpret results and make defensible recommendations rather than memorise complex proofs.

Can I complete the programme while working full-time?

Yes. The guided path is designed for working professionals as well as graduates, with live teaching, structured practice and project checkpoints across six to seven months. An advisor can confirm the current cohort schedule before you enrol.

Will I learn strategy as well as analytics tools?

Yes. Excel, SQL, Power BI, forecasting and GenAI are taught as parts of a larger decision workflow. You will frame problems, model alternatives, evaluate commercial trade-offs, communicate uncertainty and present a clear recommendation to stakeholders.

What kind of portfolio will I build?

Your portfolio will include cross-functional business cases such as profitability, pricing, market expansion, customer retention, demand planning, product portfolio strategy and sales pipeline scenarios. Each case shows the business question, model, evidence, trade-offs and recommendation.

How is Generative AI used in the programme?

Generative AI is used to accelerate research, draft models and queries, explore counterarguments and tailor executive summaries. You will also verify sources and calculations, document prompts and keep a human approval step for important recommendations.

Which roles can this programme help me prepare for?

The work is aligned with entry-level and early-career roles such as Business Analyst, Strategy Analyst, Growth Analyst, Operations Analyst, Commercial Analyst, FP&A Analyst and Business Intelligence Analyst. Eligible learners also receive 100% placement, including profile preparation, interview practice, referrals and continued opportunity guidance.

Business decision programmeCareer-focused business analytics programme

Business Analytics with Generative AI

Diagnose performance, model what comes next and turn evidence into recommendations leaders can act on.

mentor-led programme: 0–7 months
decision cases: 0+
industry credential: Microsoft

Who this programme is for

Bring your experience.Lead with evidence.

Choose the path closest to your background. Each route builds the same core skills: business framing, modelling, scenarios and stakeholder communication.

Business, commerce or economics graduate
Turn classroom concepts into practical commercial analysis and decision-ready work.
Your next business move
Business analyst or strategy roles
Career switcher with domain experience
Combine the context you already have with structured analysis, modelling and storytelling.
Your next business move
Analytics, consulting or planning roles
Working professional
Move beyond reporting activity and learn to recommend what the business should do next.
Your next business move
Decision-focused responsibility
Manager, founder or team lead
Build the confidence to test assumptions, compare scenarios and lead with evidence.
Your next business move
Sharper planning and leadership decisions

The complete decision experience

Connect insight to action.Go beyond dashboards.

Live strategy labs, 38+ cross-functional decision cases, a modern business analytics stack and career preparation, connected in one guided journey.

Work through live business cases

Learn with practitioners who connect every framework and model to a consequential business choice.

Live case rooms
Assumptions challenged
Personal feedback

38+ cross-functional decision cases

Build judgement across growth, finance, operations, customers, products and strategy.

Commercial scenarios
Independent modelling
Review and improve

Build with the modern decision stack

Use each tool for the business question it answers best, then connect the evidence.

Excel + Power Query
SQL
Power BI
Tableau
GenAI

Turn recommendations into career proof

Shape your strongest decisions into stories recruiters and leaders can evaluate.

Portfolio review
Resume + LinkedIn
Case interviews

By the end, you will think commercially, test assumptions and recommend action with evidence.

Mentors who make the decisions

Learn from leaders makinghigh-stakes business decisions.

Build commercial judgement with practitioners across strategy, product, finance, analytics and growth, grounded in the trade-offs they handle at leading global companies.

Data Science & Analytics

Megna Roy

Google, Amazon, Uber & Mu Sigma

SQLAdvanced AnalyticsDecision Strategy

AI Systems & Evaluation

Sofia Bennett

Generative AI, evaluation & agent systems

PythonPyTorchDocker

Senior Product Manager

Deepak Yadav

Product strategy & growth

Product StrategyRoadmapsGrowth

Decision Scientist

Mayank Mittal

Decision science & analytics

Decision ScienceAnalyticsBusiness Insights

Product Analytics & Growth

Marcus Reed

Product strategy, analytics & growth

Product StrategyAdvanced AnalyticsGrowth

Product Leader

Monojeet Sinha

14+ years in product leadership

Product StrategyProblem SolvingGrowth

Data Science & MLOps

Elena Kovács

Data science, MLOps & model operations

PythonTensorFlowDocker

Business Finance Analyst

Ekta Agarwal

13+ years in business finance

Financial PlanningBusiness FinanceStrategy

Data Scientist

Rishabh Gupta

7+ years in data science

Data ScienceAdvanced AnalyticsProduct Analytics

Data Engineering & Platforms

Kenji Sato

Data engineering, streaming & platforms

SparkAirflowKafka

Course curriculum

Your path from business question to confident action.

Eight practical modules build one complete business decision workflow. Open any module to see the questions you will answer, the tools you will use and the recommendation you will produce.

8 modules: Connected skill path
6–7 months: Live + guided practice
38+ projects: Portfolio-building work
Capstone + interviews: Career-ready finish

Start with the decision, not the dashboard: clarify the commercial problem, stakeholder stakes and evidence needed to move forward.

Learning outcomes

Translate broad business concerns into decision questions
Map stakeholders, incentives, constraints and decision rights
Define value drivers, KPIs and measurable success criteria
Separate symptoms, root causes and testable assumptions
Choose leading and lagging indicators for each decision
Write a decision brief with risks, unknowns and next steps

Tools & technologies

Decision briefKPI frameworkDriver treeStakeholder map

Build transparent models that connect operational drivers to revenue, cost, margin and business performance.

Learning outcomes

Design auditable models with clear inputs, logic and outputs
Use lookups, conditional logic and dynamic calculations
Build revenue, cost, margin and unit-economics views
Automate recurring inputs with Power Query
Run sensitivity tables, scenarios and break-even analysis
Create concise management summaries and control checks

Tools & technologies

ExcelPower QueryScenario analysisUnit economicsSensitivity tables

Use SQL to investigate performance independently and create a trustworthy evidence base for business recommendations.

Learning outcomes

Read business schemas, keys, relationships and data grain
Segment customers, products, channels and regions
Combine operational and commercial data with joins and CTEs
Use window functions for ranking, retention and movement
Build funnel, cohort and period-comparison queries
Validate and document reusable decision datasets

Tools & technologies

SQLPostgreSQLCTEsWindow functionsCohort analysis

Quantify uncertainty, compare alternatives and communicate what the evidence can and cannot support.

Learning outcomes

Interpret distributions, variation, outliers and confidence
Choose meaningful baselines and comparison groups
Separate correlation, causation and confounding factors
Build practical time-series and driver-based forecasts
Run what-if, sensitivity and risk scenarios
Communicate forecast ranges, assumptions and limitations

Tools & technologies

StatisticsExcelForecastingWhat-if analysisRisk ranges

Connect customer behaviour, acquisition economics and market signals to growth choices the business can prioritise.

Learning outcomes

Map funnels, journeys and customer lifecycle metrics
Analyse acquisition, conversion, retention and lifetime value
Build customer segments and opportunity profiles
Evaluate campaign efficiency and incremental impact
Compare products, channels and market opportunities
Turn findings into testable growth recommendations

Tools & technologies

SegmentationFunnel analysisLTVMarket sizingExperiment design

Build a governed performance model and guide leaders from headline change to driver, implication and action.

Learning outcomes

Model business entities and metrics in a clean star schema
Create DAX measures for targets, variances and scenarios
Design executive scorecards and driver trees
Build drill-throughs for operational follow-up
Apply accessible hierarchy, annotation and narrative flow
Present recommendations for different stakeholder priorities

Tools & technologies

Power BIDAXDriver treesExecutive scorecardsDecision stories

Use GenAI to accelerate research, modelling and communication while preserving source traceability and human accountability.

Learning outcomes

Design prompts around decisions, constraints and evidence
Synthesise market, customer and internal research
Draft formulas, queries and scenario narratives responsibly
Challenge assumptions with counterarguments and missing questions
Verify claims, calculations, citations and source coverage
Create approval controls for AI-assisted business outputs

Tools & technologies

GenAIResearch synthesisPrompt designSource verificationReview controls

Bring the complete workflow together in a cross-functional decision you can defend from business context to recommendation.

Learning outcomes

Scope a capstone around a consequential business choice
Plan the evidence, model, scenarios and stakeholder narrative
Build a defensible recommendation with trade-offs
Write a recruiter-friendly business case study
Present an executive readout and handle challenge questions
Practise estimation, analytics and strategy case interviews

Tools & technologies

PortfolioCase interviewsScenario modelExecutive readoutRecommendation

Your business analytics stack

Real tools for sharper business decisions.

Move from planning models and customer signals to forecasts, executive dashboards and verified AI-assisted research in one connected decision workflow.

Excel
Power Query
SQL
PostgreSQL
Power BI
DAX
Tableau
Microsoft Fabric

Google Analytics
Google Sheets
BigQuery
Looker Studio
MySQL
Snowflake
Jupyter
Python

Pandas
NumPy
Excel Scenarios
Power BI Forecasting
VS Code
Microsoft Azure
Google Cloud
GitHub

ChatGPT
Claude
Gemini
Microsoft Copilot
Perplexity
GitHub Copilot
NotebookLM
Hugging Face

Decision cases and portfolio work

Build recommendations,not classroom reports.

Cross-functional cases mirror the choices modern business analysts are expected to shape: profitability, pricing, growth, market entry, planning and portfolio investment.

Decision case
Profitability strategy
Revenue and margin decision model
Trace how product mix, discounting, channel cost and volume affect margin, then recommend where leaders should intervene first.
Decision output
Driver model + executive profitability brief
ExcelSQLPower BI
Decision case
Market expansion
Expansion opportunity scorecard
Compare demand, competition, economics and execution risk to rank new markets without hiding the trade-offs.
Decision output
Market scorecard + entry recommendation
ExcelBigQueryTableau
Decision case
Pricing strategy
Pricing sensitivity simulator
Model price, volume, mix and churn scenarios to find a defensible pricing move and the conditions that could change it.
Decision output
Scenario simulator + pricing memo
ExcelSQLGenAI
Decision case
Customer growth
Retention investment case
Connect lifecycle behaviour, segment value and intervention cost to decide which retention opportunities deserve investment.
Decision output
Cohort model + prioritised growth plan
SQLPower BIGA4
Decision case
Planning and finance
Demand and working-capital forecast
Forecast demand ranges, inventory needs and cash implications so the operating plan remains useful when assumptions move.
Decision output
Rolling forecast + risk scenario pack
ExcelPythonPower BI
Decision case
Portfolio strategy
Product portfolio investment map
Compare adoption, margin, strategic fit and delivery effort to recommend where to invest, maintain or exit.
Decision output
Portfolio matrix + investment narrative
SQLTableauExcel
Decision case
Sales effectiveness
Pipeline scenario planner
Model stage conversion, cycle time and capacity to show what must change for the team to hit the commercial plan.
Decision output
Pipeline model + action roadmap
SQLPower BIExcel
Decision case
Decision intelligence
AI-assisted executive decision room
Combine verified research, scenario evidence and counterarguments into a traceable recommendation leaders can challenge.
Decision output
Decision dossier + executive readout
GenAINotebookLMPower BI

Decision case
Profitability strategy
Revenue and margin decision model
Trace how product mix, discounting, channel cost and volume affect margin, then recommend where leaders should intervene first.
Decision output
Driver model + executive profitability brief
ExcelSQLPower BI
Decision case
Market expansion
Expansion opportunity scorecard
Compare demand, competition, economics and execution risk to rank new markets without hiding the trade-offs.
Decision output
Market scorecard + entry recommendation
ExcelBigQueryTableau
Decision case
Pricing strategy
Pricing sensitivity simulator
Model price, volume, mix and churn scenarios to find a defensible pricing move and the conditions that could change it.
Decision output
Scenario simulator + pricing memo
ExcelSQLGenAI
Decision case
Customer growth
Retention investment case
Connect lifecycle behaviour, segment value and intervention cost to decide which retention opportunities deserve investment.
Decision output
Cohort model + prioritised growth plan
SQLPower BIGA4
Decision case
Planning and finance
Demand and working-capital forecast
Forecast demand ranges, inventory needs and cash implications so the operating plan remains useful when assumptions move.
Decision output
Rolling forecast + risk scenario pack
ExcelPythonPower BI
Decision case
Portfolio strategy
Product portfolio investment map
Compare adoption, margin, strategic fit and delivery effort to recommend where to invest, maintain or exit.
Decision output
Portfolio matrix + investment narrative
SQLTableauExcel
Decision case
Sales effectiveness
Pipeline scenario planner
Model stage conversion, cycle time and capacity to show what must change for the team to hit the commercial plan.
Decision output
Pipeline model + action roadmap
SQLPower BIExcel
Decision case
Decision intelligence
AI-assisted executive decision room
Combine verified research, scenario evidence and counterarguments into a traceable recommendation leaders can challenge.
Decision output
Decision dossier + executive readout
GenAINotebookLMPower BI

Model, assumptions, options and recommendation in every case.

Cross-functional cases · commercial context · one decision-first portfolio

Business Analytics success stories

From business questions todecision-ready careers.

Meet learners who combined commercial thinking, forecasting and stakeholder storytelling to make confident moves into Business Analytics.

Maya Thompson, Interview Prep learner — Maya Thompson

Ananya Iyer, Interview Prep learner — Ananya Iyer

Sara Khan, Interview Prep learner — Sara Khan

Daniel Kim, Interview Prep learner — Daniel Kim

Amara Okafor, Interview Prep learner — Amara Okafor

Khushi Pandey, Interview Prep learner — Khushi Pandey

Rohan Kapoor, Interview Prep learner — Rohan Kapoor

Sofia Martinez, Interview Prep learner — Sofia Martinez

Vikram Rao, Interview Prep learner — Vikram Rao

Chloe Bennett, Interview Prep learner — Chloe Bennett

Business Analytics with Generative AI6–7 months track · 38+ industry projects · Awarded with Distinction

Built to be verifiedID · issue date · award

Ready for the first scanClear proof in seconds

Microsoft credentialBusiness Analytics certificate

Sample previews. Learner details are added at issuance.

Business Analytics credentials

Make decision-making skill easy to trust.

Pair your Interview Prep Business Analytics certificate with a recognised Microsoft credential and show how you turn commercial data into clear recommendations.

What hiring teams see

Show business judgment with data

Bring modelling, forecasting, dashboards, market analysis and GenAI-assisted research into one professional signal.

Back it with 38+ applied projects

Connect the certificate to decision cases, executive narratives and recommendations grounded in evidence.

Be ready when opportunity moves

Share a clear credential record whenever a recruiter, referral or hiring manager asks for proof.

Strong business analysts do more than report numbers. Your credential should make the quality of your decisions visible.

Recognised platformsMicrosoft

Programme fee