Gen AI-powered Data Science with Machine Learning

The Complete Curriculum

Program Curriculum

Module1: Excel & GenAI for Analytics

Module 1

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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 + Gen AI

• 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

Module 2

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Study

• End-to-end ETL & Data Modeling.

• DAX Fundamentals to Advanced Use Cases.

• Power BI & Tableau Visual Analytics.

• Data Storytelling With Gen AI-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)

Module 3

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Study

• Relational Databases & ER Modeling.

• Advanced SQL: Joins, Subqueries, Window Functions.

• Query Optimization Using Gen AI.

• 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

Module 4

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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

Module 5: Statistics & Probability (AI-assisted)

Module 5

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Study

• Descriptive & Inferential Statistics.

• Hypothesis Testing, ANOVA & Chi-square.

• Statistical Interpretation Using AI Tools.

Create

• Customer Churn Distribution Analysis

• Bank Credit Scoring Statistical Report

Attempt

• Statistics Problem Sets

• Business Interpretation & Decision-based Tests

Module 6: AI & Machine Learning

Module 6

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Study

• 18+ ML Algorithms & ML Pipelines.

• Feature Engineering & Hyperparameter Tuning.

• Model Explainability (SHAP, LIME).

• Deep Learning: CNNS, RNNS, LSTMS.

• Generative AI, RAG & LLM Workflows.

• Prompt Engineering For NLP, Vision & Agents.

Create

• Credit Risk & Churn Prediction ML Models

• Demand Forecasting System

• LLM-powered Apps (Chatbots, Semantic Search)

• Model Deployment Using Flask, Streamlit & Gradio

Attempt

• ML & AI Case-study Questions

• Model Evaluation & Explainability Tests

• End-to-end Capstone Project

Get Future-Ready with the Latest Tools

Module 7

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Python
pandas
NumPy
matplotlib
seaborn
tableau
Plotly
Power BI
scikit-learn
Keras
TensorFlow
OpenAI
Excel
Azure
gradio
Lime
Flask
Hugging Face
Streamlit
MySQL
GitHub
SQL
kaggle
Shap

Learn From The Best

Mentored by Top Professionals

Faculty Members

Alok Chauhan

upGrad

school Data Science & AI

star Alok Chauhan, Instructor Alok Cha10+ years of experience in DA/DS, Ex-L&T, New Holland, Data Arc, has served on site for clients in Honkong, Nepal and Germany

LinkedIn Profile

Shalini Singh

upGrad

school Data Science & AI

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

LinkedIn Profile

Sirisha Pamidipati

upGrad

school Data Science & AI

star Skilled in data analytics and data science. Previously worked as Sr. Faculty - Data Analytics Training in ExcelR Edtech Private Limited, Bengaluru. Ex - faculty of BITS – Pilani Hyderabad Campus

LinkedIn Profile

Certification:

Certificate in Gen AI- Powered Data Science Program

Certification:

Add on Certification from IIIT-B

Attend IIITB Masterclass to get an add-on IIITB Certificate

Certification:

Guided Internship Certificate

Receive a Guided Internship Certificate for gaining industry-relevant experience from our elite partners

Certification:

NSDC Course Completion Certificate

Get NSDC Course Completion Certificate from upGrad

Is This Right For You?

Who is this program right for?

Graduation in any science / tech stream (B.E., B.Tech, B.Sc, B.C.A., etc.)

Students pursuing graduation in any of above streams are also eligible

No coding background required

Aptitude Training
Resume Building
LinkedIn Profile Evaluation
Interview Question Bank
1:1 Mock Interview Calls
Hands-on Technical Learning
Soft Skill TrainingGD/Interview Prep

What Makes This Program Stand Out?

laptop_mac Tool Access

trending_up GenAI Integration

laptop_mac Projects

workspace_premium Brand Case Studies

work ML Deployment

school Portfolio Creation

laptop_mac Interview Prep

group Placement Support

Our Program

thumb_up In-built access to all tools (Cloud-based)

thumb_up ChatGPT, Copilot, Gemini for coding & analytics

thumb_up 8–12 real industry projects

thumb_up Airbnb, Zomato, Uber, Netflix

thumb_up Live apps (Streamlit/FastAPI/Docker)

thumb_up GitHub + Live Dashboards + ML Apps

thumb_up Module-wise + MAANG-level mock rounds

thumb_up 3 Years access to job portal & support

Other Courses

thumb_down Tools only available in institute lab

thumb_down Not included

thumb_down 2–3 basic or dummy projects

thumb_down Generic examples

thumb_down Mostly not taught

thumb_down Certificate-focused

thumb_down Basic interview tips

thumb_down Limited or none

Industry Case Studies & Real Projects

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

Airbnb Case Study

Understand the factors that drive the Airbnb business and help the team leads tackle problems and bottlenecks through extensive data analysis on UI tools.

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 allocation.

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.

Advanced ML Case Study - Telecom Churn

Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a data scientist.

Admission Process

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

Submit Your Interest

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

Speak to our academic counsellor

Discuss your background goals and best-fit program

Confirm Your Batch

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

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.

Got Questions?

Frequently Asked Questions

Who can apply for the Gen AI Powered Data Science Program? expand_more

Graduates from any science or technology stream (B.E., B.Tech, B.Sc., BCA, etc.) are eligible to apply. Students currently pursuing their graduation in these streams can also apply. No prior coding background is required.

What is the admission process? expand_more

The admissions process is completely online. The following are the key steps in the application process:

Step 1 - Fill Application form : Fill out an application giving your basic profile details.
Step 2 - Shortlisting and block payment: Once shortlisted, pay a block fee (Non-refundable)
Step 3 - Offer letter and payment: Balance to be closed within 7 days or batch start date whichever is sooner.

Do I need prior coding experience? expand_more

No prior programming background is required. The curriculum typically starts with foundations and gradually moves toward advanced analytics, machine learning, and real-world applications.

Is this program suitable for freshers? expand_more

Yes. Freshers looking to build strong, job-ready data skills can apply. Additional effort in practice and projects will help strengthen employability.

Ready to Lead the AI Revolution?

Join 's prestigious program. We will be there right through your learning journey.

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Gen AI-powered Data Science with Machine Learning

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Program Curriculum

Module1: Excel & GenAI for Analytics

Module 2: Power BI & Tableau

Module 3: SQL (With Cloud Integration)

Module 4: Python For Data Analysis

Module 5: Statistics & Probability (AI-assisted)

Module 6: AI & Machine Learning

Get Future-Ready with the Latest Tools

Mentored by Top Professionals

Alok Chauhan

Shalini Singh

Sirisha Pamidipati

Certificate in Gen AI- Powered Data Science Program

Add on Certification from IIIT-B

Guided Internship Certificate

NSDC Course Completion Certificate

Who is this program right for?

What Makes This Program Stand Out?

Industry Case Studies & Real Projects

Admission Process

Submit Your Interest

Speak to our academic counsellor

Confirm Your Batch

Start Learning

Frequently Asked Questions

Ready to Lead the AI Revolution?

Find the Right Course for You

Talk to an Expert Today

Enquiry Submitted!