CareerVedaInternship program
- Real-world Business Analytics Projects
- Dashboard & Reporting Build-Outs
- KPI Framework Design for Live Businesses
- Stakeholder Insight Presentations
- A/B Test and Experiment Analysis
- Industry Mentorship by Practising Analysts
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Industry-AlignedEnrolling Now100% Placement Assurance
Post Graduate Program in Business Analytics with Generative AI
Master business analytics end to end — Excel, SQL, Power BI, Tableau, Python and applied AI — and learn to turn business questions into dashboards and decisions that stakeholders act on.
Next BatchJuly 18, 2026
Duration6 Months · Live Online
Industry Projects30+
EligibilityFreshers, Graduates, Experienced
What you’ll gain from this program
This PG Program in Business Analytics equips you with Excel, SQL, Power BI, Tableau and Python skills, and the business judgement to turn data into decisions, through real-world projects and expert guidance.
Excel & Spreadsheet Modeling
SQL for Business Reporting
Power BI & DAX Mastery
Tableau Visual Analytics
Python for Data Analysis
200+ Hrs Analytics-Focused Content
300+ Hrs Live Case Sessions
Practising Analysts as Mentors
Business Analytics Job Placement Support
Round-the-Clock Assistance
Business Analytics Curriculum Track
Skill Evaluation Tests
Learning Performance Analytics Dashboard
Professional Community Access
Self-Paced Learning Options
Global Alumni Community
Mock Interview Training
Business Analytics Certificates
Advanced LMS Platform
Live Business Case Studies
ExcelSQLPythonPower BIGen AI
Post Graduate Program in Business Analytics with Generative AI curriculum
A comprehensive curriculum designed by industry experts combining Excel, SQL, Power BI, Tableau, Python and Generative AI. Master KPI frameworks, dashboard storytelling, predictive analysis and stakeholder reporting with hands-on projects.
📚 21 modules · learning roadmap
01Introduction to Business Analytics
- What business analytics is and where it sits in a company
- Descriptive, diagnostic, predictive and prescriptive analysis
- The analytics workflow from question to decision
- Roles: business analyst, data analyst, BI analyst
- Tooling landscape and when to use what
- Industry trends and outlook
02Excel for Business Analysis
- Spreadsheet structure and clean data entry
- Core formulas: logical, text and date functions
- Lookup functions: VLOOKUP, XLOOKUP, INDEX-MATCH
- PivotTables and PivotCharts
- Conditional formatting for exception reporting
- Building a first business summary report
03Advanced Excel & Spreadsheet Modeling
- Dynamic arrays and modern Excel functions
- Power Query for repeatable data cleaning
- Scenario analysis, Goal Seek and Solver
- What-if models and sensitivity tables
- Dashboard construction in Excel
- Spreadsheet modeling project
04Business Statistics Foundations
- Descriptive statistics and distributions
- Sampling, variance and confidence intervals
- Correlation versus causation in business data
- Hypothesis testing for business questions
- A/B testing fundamentals
- Reading and challenging statistical claims
05Data Cleaning & Preparation
- Profiling a raw dataset before analysis
- Handling missing values and duplicates
- Outlier detection and treatment
- Standardising formats, types and categories
- Joining and reconciling multiple sources
- Documenting data quality assumptions
06SQL Fundamentals for Analysts
- Relational database concepts
- SELECT, WHERE, ORDER BY and LIMIT
- Aggregations with GROUP BY and HAVING
- Joins: inner, left, right and full
- Subqueries and common table expressions
- Writing a business reporting query set
07Advanced SQL & Query Optimisation
- Window functions for running and ranked metrics
- Cohort and retention queries
- Date and time series aggregation patterns
- Query performance and indexing basics
- Reusable views and reporting layers
- Advanced SQL case study
08Data Modeling for Reporting
- Star and snowflake schema concepts
- Facts, dimensions and grain
- Normalisation versus reporting-friendly models
- Designing a model for a business domain
- Relationships and cardinality pitfalls
- Data dictionary and documentation
09Power BI Fundamentals
- Connecting and transforming data sources
- The Power BI data model
- Core visuals and report pages
- Filters, slicers and drill-through
- Publishing and sharing reports
- First Power BI report build
10Advanced Power BI & DAX
- DAX calculated columns versus measures
- Filter context and row context
- Time intelligence: YoY, MTD, rolling averages
- CALCULATE and context modification
- Performance tuning of models and visuals
- Executive dashboard project
11Tableau for Visual Analytics
- Tableau workspace and data connections
- Dimensions, measures and calculated fields
- Building charts, maps and dual axes
- Dashboards, actions and interactivity
- Level of detail expressions
- Tableau dashboard project
12Dashboard Design & Data Storytelling
- Choosing the right chart for the question
- Visual hierarchy and dashboard layout
- Colour, accessibility and chart integrity
- Narrative structure for an analytics presentation
- Writing insight, not description
- Presenting findings to stakeholders
13Python for Business Analytics
- Python essentials for analysts
- pandas DataFrames and data manipulation
- Grouping, merging and reshaping data
- Automating recurring reports
- Plotting with matplotlib and seaborn
- Python analysis notebook project
14Exploratory Data Analysis
- Framing an exploratory question
- Univariate and bivariate exploration
- Segmentation and cohort views
- Identifying drivers behind a metric move
- Communicating uncertainty honestly
- Complete EDA case study
15Business Metrics & KPI Frameworks
- Defining metrics that map to business goals
- Leading versus lagging indicators
- North star metrics and metric trees
- Funnel, retention and unit economics metrics
- Avoiding vanity and gameable metrics
- Designing a KPI framework for a business
16Marketing & Sales Analytics
- Acquisition funnel and channel analysis
- Campaign performance and attribution basics
- Customer lifetime value and CAC
- Sales pipeline and conversion analysis
- Segmentation and targeting analysis
- Marketing analytics project
17Finance & Operations Analytics
- Revenue, cost and margin analysis
- Budget versus actual variance reporting
- Forecasting demand and capacity
- Inventory and supply chain metrics
- Process efficiency and bottleneck analysis
- Operations analytics case study
18Predictive Analytics for Business
- When prediction helps a business decision
- Regression for forecasting and driver analysis
- Classification for churn and propensity
- Time series forecasting fundamentals
- Evaluating and communicating model quality
- Predictive analytics project
19Generative AI for Analysts
- Where GenAI genuinely speeds up analysis
- Prompting for SQL, formulas and code
- AI-assisted data cleaning and documentation
- Summarising findings and drafting reports
- Verifying AI output and avoiding false confidence
- AI-assisted analytics workflow project
20Business Analytics Capstone Project
- End-to-end project on a real business dataset
- Problem framing and metric definition
- Analysis, modeling and dashboard build
- Insight write-up with recommendations
- Stakeholder presentation and defence
- Portfolio packaging of the capstone
21Analytics Career Readiness & Interview Prep
- Analyst resume creation and optimization
- SQL and case-study interview preparation
- Take-home assignment and dashboard tests
- Behavioral interview training
- LinkedIn networking for analytics professionals
- 1 year Placement Support for Top Fellows
Soft skills program
- Stakeholder Presentation & Reporting Skills
- Data Storytelling & Communication
- Requirement Gathering & Questioning
- Cross-Functional Collaboration
- Business Acumen & Strategic Thinking
- Professional Networking & Relationship Building
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