Gen-AI Powered Data Science Course in Ahmedabad

    Get job-ready with 100% classroom training and career support

    Master tech & soft skills for complete career growth

    Build ML & Gen AI apps using Python, SQL & BI tools

    Deploy models using Flask, Streamlit & Gradio with Cloud integration

Program Duration

6 Months

New Batch Starts

31 March 2026

For Enquiry

7203000902

Merit Scholarships

Upto 50%

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Program Highlights

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Work on 15+ Live Projects

6000+ Career Transitions

1200+ Hiring Partners

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

Program Curriculum

Module1: 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 + 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

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)

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

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)

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

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

  • 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

What Makes This Program Stand Out?

Tool Access

GenAI Integration

Projects

Brand Case Studies

ML Deployment

Portfolio Creation

Interview Prep

Placement Support

upGrad's Data Science Program

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

ChatGPT, Copilot, Gemini for coding & analytics

8–12 real industry projects

Airbnb, Zomato, Uber, Netflix

Live apps (Streamlit/FastAPI/Docker)

GitHub + Live Dashboards + ML Apps

Module-wise + MAANG-level mock rounds

3 Years access to job portal & support

Other Data Science Courses

Tools only available in institute lab

Not included

2–3 basic or dummy projects

Generic examples

Mostly not taught

Certificate-focused

Basic interview tips

Limited or none

Why Choose upGrad Learning Support Centre in Navrangpura, Ahmedabad?

Visit us here in Navrangpura, Ahmedabad

No: 401, 4th Floor, KarmYog heights, above Kotak Bank, near St. Xavier's, College Corner, Navrangpura, Ahmedabad, Gujarat 380009, India

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 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

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. 

Career Roles You Can Pursue After Completing the Data Science Course at upGrad's Navrangpura Centre

Job Role

Average Salary in Ahmedabad

Data Scientist

INR 9.3 LPA

Machine Learning Engineer

INR 9 LPA

Data Analyst

INR 5.5 LPA

Business Intelligence Analyst

INR 7.3 LPA

AI Engineer

INR 8.3 LPA

Sourced By: AmbitionBox

What Our Learners Have to Say

Mentored by Top Professionals

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Faculty Members

Certificate in Gen AI- Powered Data Science Program

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Frequently Asked Questions

The upGrad Learning Support Centre is located in Navrangpura, Ahmedabad. The full address is 4th Floor, KarmYog Heights, above Kotak Bank, near St. Xavier’s College. It is centrally located and easy to access by public transport. Students from different parts of the city can commute comfortably.

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 .