10,000+Skillsbiz learners trained
Business Analytics + Gen AI · Enrolments open
Turn business data into decisions people can act on.
Learn to define KPIs, analyse commercial performance, build decision-ready dashboards and present recommendations using Excel, Power BI, Tableau, Google Analytics, SQL and Python—with GenAI supporting research, analysis and communication.
✓Live online✓Weekly 1:1 mentorship✓Maximum 20 learners
Program fee
₹1,10,000+ GST · EMI options availableApplied learning
8 projectsincluding a final capstoneProgram duration
6 months
The complete journey includes teaching, practice, assessments, projects and career preparation.
Structured curriculum
18 weeks · 5 modules
From business foundations through capstone and executive presentation.
Applied learning
8 projects
Realistic Indian business contexts using public or synthetic datasets.
Program fee
₹1,10,000 + GST
Pay through up to 12 zero-interest EMIs, subject to final provider terms.
4.8/5Skillsbiz learner rating
8Projects in every program
20Maximum learners per cohort
Small live cohorts
Every cohort is limited to 20 learners to support interaction, questions and individual attention.
Flexible batch options
Choose from monthly weekday or weekend cohorts delivered live online.
Eight portfolio projects
Apply the curriculum through realistic briefs, documented case studies and a final capstone.
Weekly 1:1 mentorship
Review concepts, project decisions and your learning progress in recurring individual sessions.
90-day career support
Prepare your resume, LinkedIn profile, portfolio and interviews with structured support after completion.
Long-term learning access
Keep lifetime access to learning materials and revisit class recordings for 12 months after completion.
From enrolment to career preparation
A structured path from foundations to portfolio-ready work.
The pace varies by program, but every pathway follows the same sequence: establish direction, build core skills, complete reviewed work and prepare to present it professionally.
Program start
01Establish your direction
Assess & Plan
Review your starting point, target roles and program expectations before beginning the core curriculum.
BaselineRole directionLearning plan
Core curriculum
02Build the fundamentals
Learn & Practise
Develop technical and analytical fluency through live classes, guided exercises and regular mentor reviews.
Live classesGuided practiceMentor reviews
Project phase
03Apply what you learn
Build & Review
Complete eight realistic projects, strengthen them through feedback and document the clearest work for your portfolio.
Case studiesWritten feedbackPortfolio
Final phase + 90 days
04Prepare for opportunities
Present & Apply
Refine your resume and LinkedIn profile, complete three mock interview rounds and receive 90 days of placement assistance.
ATS resumeMock interviewsPlacement support
Who this program is for
Designed for people who want data to improve business decisions.
This program suits learners who want to work closer to commercial performance, operations, strategy, finance, marketing, customer behaviour or cross-functional decision-making.
Business Analytics or Data Analytics?
Choose Business Analytics when the centre of gravity is KPI design, business context, scenarios and recommendations. Choose Data Analytics when you want the centre of gravity closer to querying, data preparation, analysis and reporting execution.
Students and recent graduates
Build practical analytical capability alongside a background in business, commerce, management or another discipline.
Career startWorking professionals
Move beyond periodic reporting towards KPI diagnosis, scenario analysis and evidence-backed recommendations.
Professional upskillCareer switchers
Build a practical bridge between business thinking and analytical tools for business-facing analyst roles.
Career transitionBusiness and functional professionals
Strengthen the evidence behind decisions in finance, operations, marketing, product, consulting or strategy.
Decision supportThe business analyst mindset
Move from a business question to an evidence-backed recommendation.
Strong business analytics connects four layers: a precise question, trustworthy evidence, a realistic scenario and a recommendation that acknowledges constraints and trade-offs.
01
Define the decisionClarify what someone is actually deciding, by when, and against which success metric.
02
Find the driverSeparate symptoms from the few variables that materially explain the performance gap.
03
Stress-test the recommendationCompare upside, downside, constraints and assumptions before presenting a single answer.
Decision studio
Business domains
Apply analytics where business decisions are made.
Learn how analytical methods, performance metrics and commercial trade-offs change across growth, finance, operations, marketing and customer functions.
01 / GROWTH
Growth & Strategy
Market sizing, performance decomposition, scenario comparison and strategic prioritisation.
Think: TAM · growth rate · unit economics
02 / FINANCE
Finance
Revenue quality, margin, cost drivers, variance analysis and working-capital decisions.
Think: margin · variance · cash cycle
03 / OPS
Operations
Capacity, throughput, service levels, process bottlenecks and operational trade-offs.
Think: TAT · utilisation · SLA
04 / MARKETING
Marketing
Acquisition, attribution, channel efficiency, conversion and customer quality.
Think: CAC · ROAS · conversion
05 / CUSTOMER
Customer
Segmentation, retention, lifecycle behaviour, customer value and prioritised actions.
Think: CLV · churn · frequency
Build the commercial and spreadsheet foundations for structured analysis. Translate business goals into measurable questions and organise the evidence needed to answer them.
Key topics
Advanced Excel functionsPivotTables & Power QueryKPI design & benchmarkingBusiness analytics strategy
Applied work: create a KPI tree and spreadsheet model that explains what is changing, where the performance gap sits and which questions require deeper investigation.
Turn business performance into clear visual systems that help teams compare targets, investigate exceptions and understand the factors behind a KPI.
Key topics
Power BITableauGoogle AnalyticsSales & marketing dashboardsDAXData modelling
Applied work: design a decision-ready performance dashboard with explicit metric definitions, drill-down logic and a concise executive walkthrough.
Develop the programming and query fluency to investigate business questions independently, automate recurring analysis and move beyond spreadsheet-only workflows.
Key topics
Business SQLPythonpandasData cleaningMetric calculationReport automation
Applied work: build a reproducible workflow that combines SQL queries, Python analysis and a written interpretation for business stakeholders.
Strengthen the reasoning behind recommendations by analysing variation, relationships, uncertainty and forward-looking business performance.
Key topics
Descriptive statisticsHypothesis testingRegressionForecastingScenario analysisEvidence quality
Applied work: produce a scenario memo that distinguishes observation, inference, assumption and recommendation.
Bring business framing, analytical evidence, visual communication and recommendations together in an end-to-end capstone.
Key topics
Customer analyticsMarketing analyticsOperations analyticsFinancial analyticsConsulting frameworksExecutive presentation
Applied work: present a portfolio-ready case containing the decision question, analysis, dashboard or model, recommendation and executive presentation.
Responsible GenAI workflows
Use GenAI to accelerate analysis without replacing business judgement.
Learn where GenAI can support research, drafting, documentation, alternative hypotheses and recurring analytical work while you remain responsible for evidence quality, validation and the final recommendation.
Draft research structures and question trees faster.Generate alternative explanations that you can test against the data.Summarise analysis for different stakeholder audiences.Document assumptions, calculations and business logic more clearly.Review a recommendation for missing caveats or unsupported leaps.
Business
Judgementhuman-owned
Judgementhuman-owned
Researchstructure questions
Analysisaccelerate routine work
Scenarioschallenge assumptions
Communicationadapt the message
Eight portfolio projects
Build business cases that make your reasoning visible.
Work with public or synthetic datasets in realistic Indian business contexts. Each project develops analytical judgement, business communication and decision-making capability, culminating in an end-to-end capstone.
Strategy
Regional Expansion Decision Pack
Compare market potential, operating constraints, competitive density and expected economics across candidate regions.
Output: market prioritisation matrix + scenario-backed recommendation.
Pricing
SKU Margin & Price Architecture
Analyse volume, margin, discount behaviour and price bands to identify products requiring a different pricing approach.
Output: pricing diagnostic + management decision memo.
Marketing
Campaign Allocation Review
Compare channel efficiency, acquisition quality and downstream customer value before recommending a revised budget mix.
Output: channel scorecard + budget reallocation rationale.
Operations
Service Capacity & Bottleneck Plan
Diagnose demand peaks, throughput constraints and service-level variation across teams or locations.
Output: bottleneck analysis + capacity intervention options.
Customer
Customer Value Segmentation
Separate customer groups by behaviour, value and risk so retention or growth actions can be differentiated.
Output: segment logic + recommended actions by segment.
Finance
Working Capital Scenario Model
Explore how receivables, payables and inventory assumptions affect cash needs under different operating scenarios.
Output: scenario model + finance-facing recommendation note.
Sales
Sales Performance & Demand Forecast
Analyse regional, channel and product performance before building a forecast for the next planning period.
Output: sales performance dashboard + forecast assumptions and planning recommendations.
Capstone
End-to-End Business Analytics Case
Frame a cross-functional business decision, prepare the evidence, analyse alternatives and present a defensible recommendation.
Output: documented analysis + decision model or dashboard + executive presentation.
Program toolkit
Build practical fluency across business analytics tools.
Core work uses Excel, Power BI, Google Analytics, SQL, Python and SPSS. Supporting exposure may extend to visualisation, product analytics, database and AI tools as relevant to each exercise.
ExcelJMPPostgreSQLTableauGoogle AnalyticsHubSpotChatGPTGoogle SheetsSQLBigQueryLooker StudioMixpanelPythonClaudeSPSSMySQLPower BIDAXAmplitudePandasNotion AI
Learning & career support
Structured support throughout and beyond the program.
Receive individual guidance while you learn, written feedback as you build and practical career preparation as you begin presenting your work to employers.
Live learning support
Stay connected to the curriculum through live teaching, recordings and long-term access to learning support.
Weekday and weekend live batchesRecordings for 12 months after completionLifetime learning-material accessFive years of structured doubt support
Mentorship & project review
Work directly with a mentor to strengthen your business reasoning, analytical work and portfolio presentation.
Weekly one-to-one mentorshipWritten feedback on portfolio workReviewed capstone and case studiesRepeat-batch access for up to five years
Career preparation
Prepare to present your background, business cases and analytical recommendations clearly during applications and interviews.
Resume, LinkedIn and portfolio guidanceThree mock interview roundsOne-year internship pathway and LOR90 days of active placement assistance
Career directions
Explore business-facing analytical roles.
The curriculum develops capabilities relevant to the following roles. Completing the program does not guarantee a particular job title or employment outcome.
Business Analyst
Translate business needs into measurable questions, analysis and decision-ready recommendations.
Strategy Analyst
Use market, financial and operational evidence to support choices about growth, priorities and resource allocation.
Operations Analyst
Diagnose throughput, capacity, process and service-level performance to improve operational decisions.
Marketing / Growth Analyst
Evaluate acquisition, conversion, channel efficiency, customer behaviour and campaign economics.
SD
School of Data Science · Skillsbiz EducationCertificate of Completion
Business Analytics + Gen AI
Issued and digitally verifiable by Skillsbiz Education after the program completion requirements have been met.
Skillsbiz Education certificate
Receive a digitally verifiable program certificate.
After meeting the completion requirements, you will receive a Certificate of Completion in Business Analytics + Gen AI, issued and digitally verifiable by Skillsbiz Education.
✓Records the specific program completed.✓Issued by Skillsbiz Education.✓Verifiable through the official Skillsbiz certificate portal.
Certificate verification: Use the official Skillsbiz Education portal to verify certificates issued by the company. Open verification portal ↗
Program FAQs
Questions before choosing Business Analytics + Gen AI.
Review the starting requirements, duration, fees, learning format and career support before you apply.
Compare all four programsNo. The program is designed to be approachable for learners from business, commerce, management and other backgrounds. You will still need consistent practice as the curriculum progresses into SQL, Python, statistics and business intelligence tools.
The program runs across six months, with 18 weeks of structured curriculum delivered through five sequential modules. The wider journey includes scheduled teaching, guided practice, assessments, eight projects, capstone work and career preparation.
Business Analytics puts the centre of gravity on business context, KPI thinking, scenarios, stakeholder communication and recommendations. Data Analytics puts comparatively more emphasis on executing the end-to-end analyst workflow across data preparation, querying, Python analysis and reporting.
The core curriculum focuses on business analytics rather than advanced machine learning. If predictive modelling, deep learning, computer vision or MLOps are central to your target role, compare the Data Science & AI program.
GenAI supports research structures, alternative hypotheses, analytical drafts, documentation and stakeholder communication. You remain responsible for data quality, validation, business context and the final recommendation.
The program fee is ₹1,10,000 + GST, with up to 12 zero-interest EMIs available. New live online cohorts begin monthly, with weekday and weekend batch options. Admissions will confirm the current timetable and payment-provider terms before enrolment.
Career support includes resume, LinkedIn and portfolio guidance, three mock interview rounds, job-portal access, referrals and placement drives, followed by 90 days of active placement assistance. These services support your job search but do not guarantee employment.
Yes. After meeting the completion requirements, you will receive a Certificate of Completion in Business Analytics + Gen AI, issued and digitally verifiable by Skillsbiz Education.
Ready to build practical business analytics capability?
Apply now, book a free counselling session or request the detailed brochure to review the curriculum, projects, fee and next available batches.
Speak with admissions
Tell us about your background and target role.
An admissions advisor will help you assess program fit, prerequisites, batch options and payment terms. Expect a response within 12 hours during working hours: 10:00 AM–6:00 PM, Monday–Saturday.
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