Gen AI-Powered Data Analytics

    Analyze real-world datasets using Excel, SQL & Python

    Build dashboards & unlock insights with Power BI, Tableau & Gen AI

    Masterclasses from IIIT-B faculty with add-on certification

    Placement support with 3-year career portal & 1200 hiring partners

    Placement support with 3-year career portal & 1200 hiring partners

Duration

4 Months

Scholarships

Upto 50%*

For Enquiry

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Program Highlights

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Work on 15+ Live Projects

Free Access to 12+ Programming Tools

Industry-Ready Curriculum

Masterclasses by Industry Experts

Career Support & Placement Assistance

3 Years Access to Career Portal

3 Years Access to Learning Portal

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Advanced Certificate in Gen AI-Powered Data Analytics
Add-on top tier certification from IIIT-B
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Program Curriculum

Module 1: Excel & GenAI for Analytics

Study:

  • Excel for Business Problem-Solving (CRISP-DM)
  • Advanced Formulas, Logical Functions & Analytics Tools
  • Goal Seek, Scenario Manager & Data Tables
  • GenAI for Formula Generation, KPI Explanation & Summaries

Create:

  • Superstore Sales Dashboard with GPT
  • Automated Reports using VBA + GenAI
  • Real-World Demand Simulation on Kaggle Datasets

Attempt:

  • 50+ Excel Interview Questions
  • Problem-Solving & KPI Explanation Practice
  • Scenario-Based Excel Tests

Module 2: Power BI + Tableau

Study:

  • End-to-end ETL & Data Modeling
  • DAX Fundamentals to Advanced Use Cases
  • Power BI & Tableau Visual Analytics
  • Data Storytelling with GenAI-Assisted Narratives

Create:

  • Home Loan Default Dashboard (DAX case study)
  • Retail & Superstore Profitability Dashboards
  • Dynamic Tableau Dashboards with Parameters & Joins

Attempt:

  • 100+ DAX & BI Questions
  • Dashboard Critique & Storytelling Exercises
  • BI Scenario-Based Case Studies
  • 4 Weekly Tests

Module 3: SQL (with Cloud Integration)

Study:

  • Relational Databases & ER Modeling
  • Advanced SQL: Joins, Subqueries, Window Functions
  • Query Optimization using GenAI
  • SQL + Azure Cloud Integration

Create:

  • RSVP Movie Database
  • Marketplace Demand-Supply Analysis
  • Cloud-Connected Analytics Workflows

Attempt:

  • 200+ SQL Interview Questions
  • Complex Joins & Case-Based Problems
  • 1 Employability Test
  • 2 Weekly Tests

Module 4: Python for Data Analysis

Study:

  • Python Fundamentals, Logic & Data Structures
  • Functional Programming & OOP
  • NumPy, Pandas & Data Visualization
  • EDA Techniques with GenAI Support

Create:

  • Credit Risk Analysis
  • Uber Trip Demand Analysis
  • Stock Market Analysis using YFinance

Attempt:

  • 250+ Python Coding Questions
  • OOP & EDA Interpretation Tests
  • LeetCode & Real-Dataset Challenges
  • 1 Employability Test

Get Future-Ready with the Latest Tools

  • Python
  • Pandas
  • NumPy
  • Seaborn
  • Tableau
  • Plotly
  • Power BI
  • Matplotlib
  • SQL
  • Excel
  • MySQL
  • Azure
  • Kaggle
  • ChatGPT
  • GitHub

What Makes This Program Stand Out?

Learning Focus

Coverage

Hands-on Depth

Industry Alignment

Interview Prep

Internship

Certification

Outcome

Gen AI Powered Data Analytics

End-to-end data analysis & dashboard building

Excel, SQL, Python, Power BI, Tableau, GenAI

10+ live projects + case studies

Curriculum aligned to hiring trends

3000+ interview questions + 1:1 mock interview

Guided internship with 1:1 mentorship

NASSCOM-endorsed certification (3 certificates)

Industry-ready Data Analyst

Other Data Analytics Courses

Tool-only training

Limited tool exposure

Practice datasets only

Generic syllabus

Basic interview tips

No live exposure

Course completion certificate

Concept familiarity

Industry Case Studies & Real Projects

Learn through real-life industry projects sponsored by top companies across industries

360° Career Support

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Aptitude Training

Resume Building

LinkedIn Profile Evaluation

Interview Question Bank

1:1 Mock Interview Calls

Hands-on Technical Learning

Soft Skill Training

GD/Interview Prep

Eligibility Criteria

  • Graduation in any stream (B.E., B.Tech, B.Sc, B.Com, B.A., BBA, BCA, etc.)
  • Students currently pursuing graduation are also eligible
  • A basic understanding of mathematics or logical reasoning is helpful
  • No prior coding or analytics experience required

Admission Process

Please find below the detailed steps to be followed as a part of the admission process.

Start Your Application

Follow the below application process to begin your enrollment process. 

What Our Learners Have to Say

Mentored by Top Professionals

Top Roles Within This Domain

Job Role

Entry-Level Salary

Mid-Level Salary

Senior / Lead Salary

Data Analyst

~₹4 L – ₹8 L per year

~₹8 L – ₹18 L per year

₹18 L – ₹30 L+ per year

Business Analyst

~₹5 L – ₹10 L per year

~₹10 L – ₹22 L per year

₹22 L – ₹35 L+ per year

Data Analytics Consultant

~₹6 L – ₹12 L per year

~₹12 L – ₹25 L per year

₹25 L – ₹40 L+ per year

Certificate in Gen AI-Powered Data Analytics Course

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Frequently Asked Questions

Anyone who has completed graduation in any stream such as B.E., B.Tech, B.Sc, B.Com, B.A., BBA, or BCA can apply. Final-year students are also eligible. The program is designed for freshers as well as working professionals. No specific academic background in data science is required.

upGrad Learner Support

Talk to our experts. We are available 7 days a week, 10 AM to 7 PM

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Indian Nationals

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Foreign Nationals

Disclaimer

  1. The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.

  2. The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .