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Share knowledge, get rewarded
Get job-ready with classroom training and career support
Build tech and soft skills for real career growth
Build ML and Gen AI apps with Python, SQL, BI tools
Deploy models via Flask, Streamlit, Gradio, and Cloud
Duration
6 Months
New Batch Starts
16 March 2026
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Work on 15+ Live Projects
6000+ Career Transitions
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Industry-Ready Curriculum
Masterclasses by Industry Experts
Career Support & Placement Assistance
3 Years Access to Career Portal
3 Years Access to Learning Portal
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
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
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
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
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
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
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• End-to-end Capstone Project
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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

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

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

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

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

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

Get access to jobs, internships and hiring drives even after completing our classroom program.
C1763, Metro Pillar No, VIP Hills, Silicon Valley, Madhapur, Hyderabad, Telangana 500081
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
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.
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.
| Job Role | Average Salary in Hyderabad |
|---|---|
AI Engineer | INR 24L |
Data Scientist | INR 15L |
Machine Learning Engineer | INR 11.4L |
Business Intelligence Analyst | INR 9.4L |
Data Analyst | INR 7.1L |
Source: AmbitionBox
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. "

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."

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.
-de17405884154c62af47f86150ecd1f7.webp&w=256&q=75)
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.

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.

Priyanka Maruti Panchkwade
Data Researcher
3
Faculty Members

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

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

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

Complete all the modules and earn your upGrad certificate showcasing your experitse in Data Science and ML-AI
01

Attend IIITB Masterclass to get an add-on IIITB Certificate
02
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Receive a Guided Internship Certificate for gaining industry-relevant experience from our elite partners
03
Our upGrad Learning Support Centre is located at Polar Bear Ice Cream Sundaes – Madhapur, Metro Pillar No. C1763, VIP Hills, Jaihind Enclave, Madhapur, Telangana 500081. It is easily accessible by public transport for learners commuting from anywhere in the city.
The Madhapur centre is open daily from 10 AM to 8 PM. You can visit during these operating hours to speak with our counsellors, attend support sessions, or participate in your classroom programs. We highly recommend calling ahead to ensure a seamless visit.
You can reach our Madhapur admissions team directly at 1800 210 7070 for any course-related questions. Our counsellors will guide you through batch schedules, program fees, and eligibility. Alternatively, you can fill out the online enquiry form on our website, and our team will get back to you promptly.
Yes, absolutely. We encourage prospective learners to visit the centre before finalizing their enrollment. A visit gives you the opportunity to interact with our career counsellors, experience the offline classroom environment, and get detailed insights into our curriculum and placement support.
The program delivers a comprehensive, industry-aligned curriculum covering Data Science, Python, Machine Learning, AI, SQL, Power BI, Tableau, and Statistics. It emphasizes hands-on learning through real-world projects and includes extensive training on Generative AI tools to ensure you are fully job-ready within the timeframe.
The offline classroom program runs for 6 months. For the Madhapur centre, the course fee is INR 1,49,000. Flexible payment plans and financing options are available based on eligibility, which you can easily discuss with your assigned academic counsellor.
Yes, the curriculum is structured to accommodate both working professionals and absolute beginners. No prior coding background is required to excel, though a basic comfort with mathematics and logic is beneficial. The modules build your skills progressively from the fundamentals up to advanced data science concepts.
Yes, practical application is a core component. You will work on multiple industry-relevant projects, such as building machine learning models, creating dynamic interactive dashboards, and developing AI applications, culminating in a comprehensive capstone project to solidify your technical expertise.
This course is meticulously designed to teach the exact skills that top tech employers in Madhapur are actively hiring for. With a heavy focus on project-based learning, in-person mentorship, and dedicated career support, the program instills the practical confidence needed to succeed in real-world tech roles.
Yes, we provide robust placement assistance to all eligible learners. Our dedicated career team helps you with ATS-friendly resume building, 1:1 mock interviews, and LinkedIn profile optimization. You will also gain direct access to our extensive network of actively hiring partners to significantly boost your job prospects.
Data Science offers exceptional stability and accelerated financial growth. Graduates frequently step into high-demand roles like Machine Learning Engineer, Data Analyst, and Data Scientist. Madhapur's massive tech and startup ecosystem provides the perfect landscape for rapid career advancement and significant salary hikes.
Yes, we strive to make upskilling as accessible as possible. Options such as merit scholarships or Pay After Placement (PAP) models may be available to help ease upfront financial commitments. Please speak with our counselling team to check your eligibility for these flexible plans.
Upon successful completion, you will be technically equipped to apply for highly sought-after positions including Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer. The blend of rigorous classroom training and personalized career support ensures you are ready to tackle these competitive roles.
Entry-level salaries in Madhapur's tech market are highly competitive. Base packages for roles like Data Scientist and ML Engineer typically range from 5 LPA to over 9 LPA depending on your prior experience and interview performance. With Madhapur's booming IT sector, the potential for salary growth as you gain experience is immense.
Yes, your access to career support extends well beyond the classroom. You receive 3 years of access to our career portal, which includes ongoing resume reviews, job referrals, mock interviews, and access to exclusive hiring drives to support your continuous professional journey.
The program establishes a highly resilient foundation in analytics, artificial intelligence, and machine learning, skills that are driving the future of the global tech industry. This rigorous baseline ensures you can continually adapt to new technological trends and seamlessly transition into senior leadership roles throughout your career.
The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .
Meet our experts, explore programs in detail, and see how our blended learning approach helps you achieve real career growth.