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IIT/IIM Courses

Gen AI Powered Data Analytics

    Analyze real-world datasets using Excel, SQL & Python

    Build dashboards using Power BI & Tableau

    Leverage Generative AI for data insights & workflow automation

Duration

4 Months

Fee

INR 99,999

Scholarships

Upto 50%*

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Program Highlights

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10+ Programming & Analytics Tools

10+ Live Projects

6000+ Career Transitions

1200+ Hiring Partners

150+ Hours of Classroom Training

80+ Hours of Placement Preparation

3000+ Interview Questions

NASSCOM-Endorsed Certification

3 Years Access to Career Portal

3 Years Access to Learning Portal

Program Curriculum

Course 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

Course 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

Course 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

Course 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

Tools & Technologies

  • 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

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Analyze Uber ride data to uncover demand patterns by time and location and build a model to forecast trip demand for smarter pricing and driver allocation.

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Uber Trip Demand Analysis

Analyze Uber ride data to uncover demand patterns by time and location and build a model to forecast trip demand for smarter pricing and driver alloca… Read more

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Movie Dataset from RSVP movies ( SQL Case Study)

In this assignment, you will work on a movies dataset using SQL to extract exciting insights about popular films and the factors that drive a film. 

In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to analyse the patterns present in the data. This will ensure that the applicants are capable of repaying the loan and are not rejected.

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Loan Approval EDA Assignment

In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to … Read more

In this case study, the company requires you to build a machine learning classification model wherein using some demographics and behavioural data of the leads (potential buyers), it will be able to identify the ones most likely to convert.

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Lead Scoring Case Study

In this case study, the company requires you to build a machine learning classification model wherein using some demographics and behavioural data of t… Read more

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Bike Sharing Assignment

Perform data analysis to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue. 

Analyze customer behavior and transaction data to uncover buying patterns, segment high-value users using ShopSense and build a recommendation engine that improves personalization, increases conversions, and boosts average order value.

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E-Commerce Insights Engine

Analyze customer behavior and transaction data to uncover buying patterns, segment high-value users using ShopSense and build a recommendation engine … Read More

Analyze historical sales and inventory data to forecast demand at SKU and location levels, using Forecast Hub and build predictive models for smarter procurement, inventory control, and retail profitability.

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Retail Planning Suite

Analyze historical sales and inventory data to forecast demand at SKU and location levels, using Forecast Hub and build predictive models for smarter … Read More

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 Requirements

  • 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. 

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Submit Your Interest

Fill out the enquiry form on our website. Select your preferred city and centre.

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Speak to our Academic Counsellor

Discuss your background, goals, and best-fit program.

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Confirm Your Batch

Choose from our morning / evening / weekend batches that suit your schedule

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Start Learning

Once enrolled, you’ll receive onboarding details and access to learning resources. You can then begin your offline learning experience at the selected upGrad centre.

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Ready to turn your Data Analytics aspirations into reality?
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What Our Learners Have to Say

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Specialist Programmer

Before joining upGrad, I had no work experience and was unsure about entering the data science field. A friend introduced me to upGrad, where I received great support from Omkar Sir, especially with resume building. The teaching staff is well versed in the field, including help with professional profiles. upGrad is an ideal choice for upskilling, thanks to its mentorship and personalized support.

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Mansi Kodgire

CTC ₹6.5 LPA

Specialist Programmer

upGrad enhanced my job prospects in data science. The hands-on training, real-world projects, and supportive mentors made a significant difference. After 2.5 months, I feel confident and ready for new opportunities.

LinkedIn
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Santosh Rath

CTC ₹7 LPA

Sr. Business Development Associate

I joined upGrad to enhance my Data Science skills for an analytical role. With expert mentorship, hands-on projects, and strong career support, I built my portfolio and network, leading to a promotion as a Senior Business Development Associate.

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Dhanshri Jagdale

CTC ₹9.5 LPA

AI/ML Developer

I joined upgrad to get full time job opportunity, It's all about learning methodologies by upgrad teaching staff this creates difference and one more one-on-one guidance by staff.

LinkedIn
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Aditya Patil

CTC ₹5 LPA

Mentored by Top Professionals

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Alok Chauhan

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Instructor Data Science Upgrad

10+ years of experience in DA/DS, Ex-L&T, New Holland, Data Arc, has served on site for clients in Honkong, Nepal and Germany 

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Shalini Singh

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Instructor Data Science Upgrad

12+ years of experience in data analytics, research, consultancy and academia, Ex-Deloitte having experience working with various ministries… Read More

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Sirisha Pamidipati

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Instructor Data Science Upgrad

Skilled in data analytics and data science. Previously worked as Sr. Faculty - Data Analytics Training in ExcelR Edtech Private Limited, Ben… Read More

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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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Gen AI Powered Data Analytics

Complete all the modules and earn your upGrad certificate showcasing your experitse in Data Analytics

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 .