Indian Institute of Technology Kanpur

Business Analytics with AI

Indian Institute of Technology Kanpur

Data Science & Analytics

Application Deadline Approaching

Last date to apply: October 30, 2026 · Program starts on October 31, 2026

About Programme

Looking for a Business Data Analytics Course? It is a Business Analytics program that equips you with practical, job-ready skills for today’s data-driven workplace.

Learn how to solve business challenges with SQL, Python, and Tableau, as well as data-driven storytelling from start to finish.
Use ChatGPT, Claude, Gemini, and Julius AI while learning to verify AI-generated insights with confidence.
Complete real-world analytics projects that showcase SQL, Python, dashboards, and business recommendations.
Learn using SQL, Python, Tableau, Google Sheets, and other leading AI tools used by data professionals in Artificial Intelligence Business Analytics.
Utilize real-world data to clean, analyze, and display data as professional business analysts.
Learn through weekend live classes over 5 months, with recordings and flexible self-paced prerequisite modules.

What you'll learn

Learn How to Turn Vague Business Questions into Measurable Problems and Discover Insights That Drive Better Decisions.
Use Industry-Standard SQL Queries to Analyse and Extract Information from Databases with Confidence.
Create Analysis-Ready Datasets from Messy, Multi-Source Information Using Google Sheets and Python.
Recognize Trends, Detect Patterns, Verify Assumptions, and Perform A/B Testing Using Statistical Methods.
Design Professional Dashboards That Translate Complex Data into Clear, Actionable Business Intelligence.
Build a Portfolio-Ready Capstone Using SQL, Python, Tableau, and Business Recommendations to Demonstrate Job-Ready Skills.

Skills you'll gain

Business Problem FramingSQL Querying & Database AnalysisData Cleaning & Data PreparationStatistical Analysis & Hypothesis Testing Data Visualization Tableau Dashboard Development Business Intelligence (BI) Reporting Python for Data Analytics AI-Assisted Data Analysis Prompt Engineering for Analytics KPI Analysis & Performance Reporting Data Storytelling & Insight Communication Data-Driven Decision Making

Programme Content

Topics Covered

  • The Analyst Workflow (End-to-End)
  • Descriptive to Prescriptive Analytics
  • Framing Business Questions
  • Choosing the Right Metric
  • AI Copilots & Prompting for Analytics
  • The Verify-Don't-Trust Habit
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    Topics Covered

  • Relational Model & Keys
  • SELECT, WHERE, ORDER BY, DISTINCT
  • JOINs (INNER / LEFT)
  • GROUP BY, Aggregates, HAVING
  • Subqueries, CTEs, Window Functions
  • AI for SQL (Natural Language to SQL, Debugging)
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    Topics Covered

  • Data-Quality Issues (Missing, Duplicate, Inconsistent, Outliers)
  • Cleaning in Excel / Sheets
  • Cleaning in Python / Pandas
  • Combining Messy Sources
  • Reproducible Cleaning Pipelines
  • AI for Cleaning
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    Topics Covered

  • Exploratory Data Analysis (EDA)
  • Descriptive Statistics & Distributions
  • Correlation vs Causation
  • Sampling & Confidence Intervals
  • Hypothesis & A/B Testing
  • AI for Statistics
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    Topics Covered

  • Report Structure & Tables
  • Reporting in Excel
  • Reproducible Reports in Python
  • Automating Refreshable Reports
  • AI-Drafted Narratives (Verified)
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    Topics Covered

  • Visualization Principles & Chart Selection
  • Avoiding Misleading Charts
  • Tableau Dashboards
  • Python Charts (Matplotlib / Seaborn)
  • AI for Visualization
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    Topics Covered

  • Data Storytelling & the "So What"
  • Structuring a Recommendation
  • Communicating to Non-Technical Stakeholders
  • AI-Drafted Executive Summaries (Verified)
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    Topics Covered

  • End-to-End Workflow Integration
  • Capstone Build (Frame to Extract to Clean to Analyze to Represent)
  • Presentation & Storytelling
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    Indian Institute of Technology Kanpur

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    https://www.iitk.ac.in
    Kanpur, India

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    Business Analytics with AI | IIT Kanpur