Gen-AI Powered Data Science Course in Bhubaneswar

    Get job-ready with classroom training and career support

    Build tech and soft skills for real career growth

    Create ML and Gen AI apps with Python, SQL, and BI

    Deploy models using Flask, Streamlit, Gradio, and Cloud

Duration

6 Months

New Batch Starts

16 March 2026

Scholarships

Upto 50%*

For Enquiry

9668080011

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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 Bhubaneswar, Odisha?

Visit us here in Bhubaneswar, Odisha

2297/2540, Doordarshan Colony, Gajapati Nagar, Bhubaneswar, Odisha 751013

360° Degree 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 Bhubaneswar Centre

Job Role

Average Salary in Bhubaneswar

Data Scientist

INR 14.6 LPA

AI Engineer

INR 12.7 LPA

Machine Learning Engineer

INR 6.8 LPA

Business Intelligence Analyst

INR 6.2 LPA

Data Analyst

INR 9.6 LPA

Source: Ambition Box

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

Our Bhubaneswar support centre is conveniently situated at 2297/2540, Doordarshan Colony, Gajapati Nagar, Bhubaneswar, Odisha 751013. The location is well-connected by local transit networks, making it easily accessible for students commuting from different parts of the city.

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 .