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IIT/IIM Courses

Gen-AI Powered Data Science Course in Ameerpet

    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

Fee

INR 1,49,000

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?

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Guided Industry Projects with Mentorship

Work on real-world projects with 1:1 mentorship as part of our classroom program.

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Masterclasses by Industry Professionals

Exclusive sessions on real-world best practices and emerging tech.

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5Ps of Learning Methodology

Our methodology follows five stages: pre-class preparation, concept understanding, guided practice, problem-solving, and real-world projects.

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Hands-on Training with Live Projects

Build real-world applications and gain confidence through our classroom program.

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3 Years Access to Learning Portal

Get membership to learner management system with free built-in tools to practice real-world learning.

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3 Years Access to Career Portal

Get access to jobs, internships and hiring drives even after completing our classroom program.

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., etc.)
  • Basic comfort with maths/logic will help
  • 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. 

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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.

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

Job Role

Average Salary in Hyderabad

AI Engineer

INR 21.3 LPA

Data Scientist

INR 15.9 LPA

Machine Learning Engineer

INR 11.4 LPA

Business Intelligence Analyst

INR 9.3 LPA

Data Analyst

INR 7.4 LPA

Source: AmbitionBox

What Our Learners Have to Say

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Implementation Engineer, AB Knowledge Systems

"With a year of internship experience, I joined upGrad because of its strong reputation for helping students upskill and secure good jobs. The learning experience has been excellent, with well-structured content relevant to market demands. I've gained new skills and deepened my knowledge. I highly recommend upGrad for anyone serious about advancing their career. "

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Atharva Bhapkar

Implementation Engineer

Specialist Programmer, Infosys

" 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, 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 Deepak Kodgire

Specialist Programmer,

Assistant Manager - Sales

With 6+ years in the non-IT domain, I chose upGrad to help me transition into IT. Its curriculum provided me with in-depth skills in data science and AI-ML, and the instructors at the Indore centre offered invaluable one-on-one support. For anyone seeking to break into Data Science or shift to IT, this program is a great choice for gaining technical expertise.

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Aniket Gogaliya

Assistant Manager

Software Engineer, Incred Money

Before upGrad, I wanted to strengthen my technical skills and transition into a more technical role. I chose upGrad for its structured curriculum in Data Structures and Algorithms (DSA) and MERN Stack Development. The hands-on projects and real-world applications enhanced my skills, making me job ready. Now, I’m excited and prepared to take the next step in my career.

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Swaroop Ramdas Chavan

Software Engineer

Data Researcher, Collegedunia

As a recent Computer Science graduate, I felt I needed practical, job-ready skills in Data Science. I chose upGrad for its job-focused learning and reputable partnerships, which offered hands-on courses, live sessions, mentor support, and real projects. This experience built my confidence and gave me the skills to tackle real Data Science projects in my career.

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Priyanka Maruti Panchkwade

Data Researcher

Mentored by Top Professionals

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Faculty Members

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Alok Chauhan, Instructor

Alok Chauhan

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Data Science & AI

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, Instructor

Shalini Singh

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Data Science & AI

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

LinkedIn ProfileLinkedin
Sirisha Pamidipati, Instructor

Sirisha Pamidipati

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Data Science & AI

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

LinkedIn ProfileLinkedin

Why is Ameerpet ideal for Data Science Classroom Program?

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A Thriving Education & Business Hub

High Demand for Skilled Professionals

Access to Networking Opportunities

Close to Hiring Companies & Startups

Strong Industry Exposure

A Focused Learning Environment

Train Where Your Career Grows

Frequently Asked Questions

The upGrad Learning Support Centre is centrally situated at First Floor, Swathi Anukar Building, Ameerpet, Hyderabad, Telangana. The facility provides a professional environment combining offline academic support with career-focused learning.

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 .