IIIT-B Add-on Certification
Earn a prestigious add-on certification from IIIT-Gurugram, recognized by India's top recruiters.
Gen AI-powered Data Science with Machine Learning
in Gurugram
Master Python, SQL, ML & GenAI in 6 months. Industry-built curriculum, IIIT-B add-on certification, and 1200+ hiring partners across Gurugram's top tech companies.
Why upGrad
Everything You Need to Land Your Dream Job
We've helped 6000+ professionals make successful career transitions. Here's what makes us different.
GenAI-First Curriculum
ChatGPT, Copilot, and Gemini are embedded into every module. Learn to work with AI, not just about it.
15+ Live Industry Projects
Build real projects using Airbnb, Zomato, Uber & Netflix datasets. Not dummy assignments.
MAANG-Level Interview Prep
500+ practice questions, mock interview rounds, and module-wise tests to crack top company interviews.
3-Year Career Support
Long-term placement assistance, job portal access, and resume support. Not just until you graduate.
12+ Free Programming Tools
Cloud-based access to all tools. Power BI, Tableau, Azure, Kaggle from Day 1. No lab needed.
Tech Stack
Get Future-Ready with the Latest Tools
- Python
- Pandas
- NumPy
- Seaborn
- Tableau
- Power BI
- Matplotlib
- SQL
- Excel
- MySQL
- Azure
- Kaggle
- ChatGPT
- GitHub
- Plotly
- Streamlit
Curriculum
What You'll Learn
6 deep-dive courses covering the full data science and AI stack from analytics fundamentals to deploying GenAI apps.
What You'll 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
What You'll Build
- Superstore Sales Dashboard with GPT
- Automated Reports using VBA + GenAI
- Real-world demand simulation on Kaggle datasets
Practice & Assessment
- 50+ Excel interview questions
- Problem-solving & KPI explanation practice
- Scenario-based Excel tests
What You'll Study
- End-to-end ETL & data modeling
- DAX fundamentals to advanced use cases
- Power BI & Tableau visual analytics
- Data storytelling with GenAI-assisted narratives
What You'll Build
- Home Loan Default Dashboard (DAX Case Study)
- Retail & Superstore Profitability Dashboards
- Dynamic Tableau Dashboards with parameters & joins
Practice & Assessment
- 100+ DAX & BI questions
- Dashboard critique & storytelling exercises
- BI scenario-based case studies, 4 weekly tests
What You'll Study
- Relational databases & ER modeling
- Advanced SQL: Joins, Subqueries, Window Functions
- Query optimization using GenAI
- SQL + Azure Cloud integration
What You'll Build
- RSVP Movie Database
- Marketplace demand-supply analysis
- Cloud-connected analytics workflows
Practice & Assessment
- 200+ SQL interview questions
- Complex joins & case-based problems
- Employability Test, 2 weekly tests
What You'll Study
- Python fundamentals, logic & data structures
- Functional programming & OOP
- NumPy, Pandas & data visualization
- EDA techniques with GenAI support
What You'll Build
- Credit Risk Analysis
- Uber Trip Demand Analysis
- Stock Market Analysis using yfinance
Practice & Assessment
- 250+ Python coding questions
- OOP & EDA interpretation tests
- LeetCode & real-dataset challenges
What You'll Study
- Descriptive & inferential statistics
- Hypothesis testing, ANOVA & Chi-square
- Statistical interpretation using AI tools
What You'll Build
- Customer Churn Distribution Analysis
- Bank Credit Scoring Statistical Report
Practice & Assessment
- Statistics problem sets
- Business interpretation & decision-based tests
What You'll Study
- 18+ ML algorithms & ML pipelines
- Feature engineering & hyperparameter tuning
- Model explainability (SHAP, LIME)
- Deep Learning: CNNs, RNNs, LSTMs
- Generative AI, RAG & LLM workflows
What You'll Build
- Credit Risk & Churn Prediction ML models
- Demand Forecasting System
- LLM-powered chatbots & semantic search apps
- Model deployment with Flask, Streamlit & Gradio
Practice & Assessment
- ML & AI case-study questions
- Model evaluation & explainability tests
- End-to-end capstone project
upGrad vs Others
Why upGrad Stands Apart
| Feature | upGrad Data Science | Other Programs |
|---|---|---|
| Tool Access | Cloud-based, always available | Lab-only, restricted |
| GenAI Integration | ChatGPT, Copilot, Gemini built-in | Not included |
| Industry Projects | 15+ real industry projects | 2-3 basic or dummy |
| Brand Case Studies | Airbnb, Zomato, Uber, Netflix | Generic examples only |
| ML Deployment | Streamlit / FastAPI / Docker | Mostly not taught |
| Placement Support | 3 Years access + job portal | Limited or none |
Career Outcomes
Roles You Can Step Into
Data and AI talent is among the most sought-after across Gurugram's booming tech ecosystem.
Top Sectors Hiring Data & AI Talent
- Tech - Google, Microsoft, Adobe
- AI Firms - OpenAI, Cohere, Fractal
- E-commerce - Flipkart, Meesho, Myntra
- Fintech - Paytm, Razorpay, PhonePe
- Healthcare - Practo, Optum, Philips
- SaaS - Salesforce, Zoho, Accenture
Our Star Faculty
Vipul Sonawane | Instructor & Data Science Trainer
He brings extensive expertise in corporate training, having conducted sessions for Lloyd’s Bank, KPMG, HSBC, JP Morgan, and Deloitte. He is also a seasoned educator across platforms like Simplilearn, upGrad, ExcelR, Imarticus, Great Learning, Masai School, GUVI-IITM, and Sunway University, Malaysia.
Niyanta Desai | Instructor & Data Science Trainer
11+ years of professional experience, specializing in Data Science, Machine Learning, and NLP. She has extensive expertise in corporate training, having conducted specialized sessions for organizations like Colgate-Palmolive, and is proficient in Data Analytics, Business Intelligence tools, and Artificial Intelligence.
Anilkumar Manchikatla | Instructor & AI/Data Science Trainer
16+ years of global experience across Atos, Siemens, AstraZeneca, and other enterprises, with international exposure in France and Germany, specializing in scaling Applied AI and Generative AI solutions. An IIT Roorkee alumnus, he serves as Principal Instructor at upGrad and AI Program Director for Telangana Government. A government awardee in technology and social impact and featured in leading publications such as Deccan Chronicle and The Indian Express.
Learner Stories
What Our Learners Have to Say
Real people. Real outcomes. From the upGrad Gurugram community.
HOW TO JOIN
Simple Admission Process
1
Submit Your Interest
Fill the enquiry form and select your preferred Gurugram offline centre.
2
Speak to a Counsellor
Discuss your background and goals with our academic team to find the best fit.
3
Confirm Your Batch
Choose morning, evening, or weekend batches based on your
schedule.
4
Start Learning
Get onboarded with your learning roadmap and begin your classroom journey.
Eligibility:
Graduates from any stream (BE, B.Tech, BSc,
B.Com, BA, BCA).
No prior coding background required.
Visit the Nearest Centre in Gurugram
Walk in. No appointment needed. Expert counsellors ready for you.
Centres Open Today
Offline Learning Support Centres
Learn in a
Real Classroom
Real Classroom
Structured batches, live instructor sessions and dedicated mentors — all under one roof across Gurugram .
Choose Your Nearest Centre
Address
M-47, Mehrauli-Gurgaon Rd, Block M, Old DLF Colony, Sector 14, Gurugram, Haryana 122007
Fee Structure
Choose the Plan That Works for You
Scholarships available up to 50%
Pay Upfront
Rs. 1,49,000
Total program fee, all-inclusive
- Full curriculum access
- 3-year career portal
- IIIT-B Add-on Certification
- All tools included
Easy EMI
Flexible
Affordable monthly plans available
- No-cost EMI options
- Multiple NBFC partners
- Same curriculum & benefits
- Centre-specific plans
RECOGNIZED CERTIFICATIONS
Celebrate Your Success with Industry-Recognized Certificates
Get 3 NASSCOM-endorsed certifications upon program completion
upGrad Certificate
Official Credential
IIIT-B Add-on
University Certified
NASSCOM Endorsed
Industry Recognized
NSDC Certificate
Start Your Data Science Career
in Gurugram Today
Talk to an academic counselor and get a personalized learning plan. No commitment required.
- Free 30-minute counselling session
- Scholarship eligibility check
- Custom batch recommendation
- Centre visit booking
FAQs
Before You Take the Next Step
Career Outcomes & Placements
Curriculum & Learning
Projects & Practical Learning
Location & Gurugram Advantage
Course Outcomes & Skills
Fees & Plans
Support & Mentorship
I want a career that feels future proof, not something that becomes outdated in a few years. Is Data Science still a smart choice?
Yes especially because companies today are making decisions through data more than ever before. From finance and ecommerce to healthcare, logistics, marketing, and AI products, businesses are constantly looking for people who can understand patterns, dashboards, automation, and data driven insights.
I don't want a role where I just make PowerPoints all day. What kind of actual work happens in Data Science jobs?
A lot of the work revolves around solving problems using data understanding trends, building dashboards, finding insights, improving business decisions, and working with Machine Learning systems. The work tends to feel far more analytical and practical than repetitive.
Gurgaon already has a strong corporate and startup culture. Does that help while building a career in Data Science?
Definitely. Gurgaon has a huge concentration of startups, consulting firms, tech companies, and enterprise offices, which naturally creates stronger exposure to analytics, AI, automation, reporting, and data driven business roles.
Why should I pursue Data Science in Gurugram?
Because Gurugram is one of India's biggest hubs for analytics, consulting, fintech, AI, ecommerce, and tech hiring. A large number of companies here actively work with dashboards, business intelligence, automation, and data teams which makes the ecosystem feel much closer to the actual industry environment.
I've tried learning Data Science online before and gave up halfway. What makes classroom learning different?
Most people struggle with consistency while learning alone online. Classroom learning creates structure, accountability, interaction, faster doubt solving, and a much more focused environment for practical learning.
What kind of tools and technologies will I actually work with during the program?
The program may include practical exposure to Python, SQL, Power BI, Tableau, Machine Learning concepts, dashboards, datasets, analytics workflows, and GenAI assisted tools depending on the curriculum.
Will the projects feel relevant to how companies actually work today?
Yes. The projects are designed around realistic business style scenarios involving reporting, dashboards, analytics, automation, customer insights, and data driven decision making.
I don't just want certificates. Will I actually build things I can showcase confidently?
Definitely. The program focuses heavily on practical implementation so you gradually build dashboards, analytics projects, datasets, reports, and portfolio style work that feels interview ready.
I learn best when I'm actually building things. Will this program feel hands on enough?
Very much. A big part of the classroom experience revolves around dashboards, datasets, analytics tasks, reporting workflows, and practical implementation instead of passive theory sessions.
Will the projects feel relevant to Gurgaon's fast moving corporate environment?
Yes. Many projects are designed around business style problem solving involving customer trends, reporting, operations, automation, analytics, and decision making workflows commonly used across industries today.
I don't want projects that look copied from YouTube tutorials. Will my work actually feel portfolio worthy?
That's exactly the focus. The projects are meant to help people build practical confidence and create work they can genuinely discuss during interviews and applications.
Will I only learn dashboards and reports, or deeper analytics thinking too?
The learning also focuses on interpreting trends, understanding business problems, working with datasets logically, and thinking analytically instead of only using tools mechanically.
Does studying Data Science in Gurugram actually create stronger exposure to the industry?
Definitely. Gurugram has one of India's strongest ecosystems for consulting, analytics, AI, startups, fintech, ecommerce, and corporate tech teams, which naturally creates better exposure to real industry workflows.
I spend hours commuting already. Are the classroom schedules flexible enough for Gurgaon life?
Yes. The batches are designed with working professionals and busy college schedules in mind, with weekday, evening, and weekend options available.
I don't want to take admission just based on a website. Can I experience the learning support centre first?
Absolutely. You can visit the Gurugram Learning Support Centre, explore the classrooms, speak with the team, and understand the learning environment before making a decision.
What usually makes classroom learning feel more effective than learning Data Science alone online?
For many people, it's the consistency. The classroom setup creates routine, accountability, faster doubt solving, and direct interaction that's difficult to maintain while learning alone.
By the end of the program, what kind of practical work will I actually feel confident doing?
Most people become much more comfortable working with datasets, building dashboards, understanding trends, creating reports, and solving business style analytics problems.
Will I understand how companies actually use Data Science beyond just theory?
Yes. The program focuses heavily on practical business use cases involving reporting, analytics, customer insights, dashboards, automation, and decision-making systems.
I want skills that still stay relevant even if tools change later. Does the program focus on that too?
Definitely. Along with tools, the learning also focuses on analytical thinking, problem solving, logic building, and understanding how data is used strategically inside companies.
Right now, Data Science feels intimidating to me honestly. Does that feeling usually improve with practical learning?
For most people, yes. Once concepts start connecting through projects, datasets, and guided classroom implementation, the subject usually starts feeling far more approachable and understandable.
What is the fee for the Data Science program in Gurugram?
The program fee is ₹1,49,999. EMI plans, installment options, and scholarship benefits are also available during the admission process.
I'm still unsure whether spending on a program like this is the right decision. Can someone guide me honestly?
Yes. You can speak with the counselling team to discuss career goals, learning expectations, program structure, and whether the course aligns with what you actually want professionally.
I can manage monthly payments more easily than a large upfront fee. Are flexible options available?
Absolutely. Flexible EMI and installment plans are available so the fee feels more manageable financially.
Are scholarships available for people who qualify?
Yes. Eligible candidates may receive scholarships of up to 50% depending on admission criteria, seat availability, and current enrollment cycles.
If I get stuck during projects or analytics tasks, will I be expected to figure everything out alone?
Not at all. Trainers guide people closely during practical activities, assignments, datasets, dashboards, and implementation sessions throughout the learning journey.
Will someone actually tell me where I'm improving and where I need more work?
Yes. Trainers regularly provide feedback on projects, assignments, dashboards, presentations, and practical implementation work so people can improve more confidently.
I'm nervous about speaking during interviews. Is support available for confidence and communication too?
Definitely. The program also includes support for resumes, LinkedIn profiles, interview preparation, portfolios, communication, and placement readiness.
Do the trainers only teach syllabus topics, or do they also share practical industry perspective?
The sessions go beyond textbook concepts and often include discussions around real workflows, problem solving approaches, industry expectations, and how companies actually use analytics today.