Choose the best training program according to your career.
Improve the performance of your business with our innovative Industrial Training Program.
Read More →
Our instructor-led training classes are designed to make you an expert.
Read More →
Real-life case studies are a great way to demonstrate your practical knowledge.
Read More →
Explore blogs, latest technologies and industry updates with practical examples.
Read More →
Browse all available training programs and choose the right one for your career.
Read More →Know more about who we are and what we stand for.
Discover our mission to equip individuals with essential IT skills and industry expertise.
Read More →Learn, practice and plan your career — bilkul free.
Book a free video counselling session and pick the right course for you.
Read More →This 8–9 month, instructor-led Data Science with Generative AI program is where Uncodemy takes Gurgaon learners through Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Generative AI. Classes are live online, and because Gurgaon sits inside the NCR, our Delhi and Noida centres are close enough for anyone who prefers to sit in a classroom instead. Hands-on projects, session recordings and career support run the whole way through. Total cost: ₹21,500 + GST, or ₹25,370 out the door.
Learn from 8+ years experienced professionals
Work on real-time projects & case studies
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
Finishing the Uncodemy Data Science program means genuine, working command of Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Generative AI — not a familiarity with the terms. Once career preparation wraps up, eligible learners go after roles like Data Scientist, Data Analyst and Machine Learning Engineer.
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:Hexalog
Placed at:SmartStudy
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:CloudFirst Digital
Placed at:Jepius Healthcare
At its core, data science takes statistics, programming and knowledge of a specific business and uses all three together to turn raw, unstructured data into decisions a company can actually act on. The work covers collecting and cleaning data, building and testing models, and translating the output into something a non-technical stakeholder can understand. It's how companies read customer behaviour, predict demand, catch fraud before it compounds, sharpen recommendations, and hand off decisions that used to require a person every time.
What does a data scientist do? On a working day, a data scientist is pulling data out of business systems and databases, cleaning and exploring it, training and validating a model, and converting whatever comes out into a recommendation someone can act on. A normal week has Python and SQL running throughout, time spent squeezing more accuracy out of a model, a stakeholder meeting where metrics need translating into plain language, and a check on whatever model is already live in production.
Analytics answers what already happened and why it happened. Data science tries to answer what happens next. Business analytics sits one layer up, focused on strategy and process.
| Aspect | Data Analytics | Data Science | Business Analytics |
|---|---|---|---|
| Core question | What happened, and why? | What will happen next? | What should the business do? |
| Coding depth | Low to moderate | High | Low |
| Typical entry salary | ₹3–6 LPA | ₹4–8 LPA | ₹4–7 LPA |
| Time to job-ready | 6–7 months | 8–9 months | 5–6 months |
Salary ranges are indicative and vary by role, skills, experience, location and employer.
Eleven modules, 90+ live sessions, 150+ learning hours — that is the shape of the Data Science program Gurgaon learners join, moving in sequence through Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, plus a module built specifically around using AI tools responsibly in day-to-day data work. Each module wraps up with hands-on work on an actual dataset, and the program closes with capstone projects meant to anchor your interview conversations. Live online is what most professionals across DLF Cyber City, Udyog Vihar, Golf Course Road, Sohna Road, Sector 29, Sushant Lok and the wider Gurugram–Manesar belt choose, and given how close our Delhi and Noida centres sit within the NCR, classroom attendance stays genuinely open to anyone who wants it.
Who should join this course:
Eligibility: A graduate degree, in any subject, is all that's required going in. Python and SQL start from the absolute basics, so no coding history is assumed, and while some comfort with school-level maths helps, the statistics module builds it up from scratch anyway. For the practical sessions, a laptop with 8GB RAM or better and a dependable internet connection will serve you well.
Pick whichever slot fits around your work day — a free demo is available if you want to test the waters first, and both the weekday and weekend live batches below are built with flexible timing for working professionals and students alike.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 22Sept | 07:30 PM – 08:30 PM | Mr. Upendra Kumar tiwari | 02Seat |
| 28Sept | 02:00 PM – 03:00 PM | Mr. Irshad Khan | 01Seats |
| 02Oct | 10:30 AM – 11:30 AM | Ms. Rachna Verma | 02Seat |
| 06Oct | 12:00 PM – 01:00 PM | Mr. syed Najeeb | 01Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Sept | 03:00 PM – 05:00 PM | Mr. Irshad | 02Seats |
Seat counts refresh daily as batches fill up. Every timing listed is IST.
Eleven modules make up the 150+ hours, and the order follows how the work itself actually flows — data comes in, gets cleaned, gets explored, becomes a model, the model goes live, and someone has to explain the result to a room. A practical assignment on a real dataset closes out each module, and the last one pulls everything together into portfolio-ready projects.
| # | Module | Hours | Tools |
|---|---|---|---|
| 1 | Python for Data Science | 20 | Python, Pandas, NumPy |
| 2 | SQL & Database Management | 15 | MySQL |
| 3 | Statistics & Probability for Data Science | 15 | Excel, Python |
| 4 | Data Cleaning & EDA | 12 | Python, Pandas |
| 5 | Machine Learning (Supervised & Unsupervised) | 25 | Scikit-learn |
| 6 | Deep Learning & Neural Networks | 15 | TensorFlow, Keras |
| 7 | Natural Language Processing (NLP) | 10 | NLTK, spaCy |
| 8 | Power BI & Tableau for Data Science | 15 | Power BI, Tableau |
| 9 | Generative AI, LLMs & Prompt Engineering | 10 | ChatGPT, Copilot |
| 10 | MLOps & Model Deployment | 8 | MLflow, Flask, Cloud |
| 11 | Capstone & Career Prep | 10+ | All tools |
| Total | 150+ Hours | 15+ tools | |
Finish all eleven modules, the assignments and the capstone, and the Uncodemy Data Science Program Certificate is yours. It carries the program name, duration, tools covered, completion date and a verification reference, and is only ever issued once the coursework and assessment are actually done — so it stands for something.
What comes with it is everything you actually built — the assignments and projects done in Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Generative AI across the program. The capstone is where all of that gets pointed at one real-world problem, start to finish.
Learners finishing this Data Science course in Gurgaon walk away with the Uncodemy Data Science Program Certificate, checkable at any time through the official Uncodemy Certificate Portal.
Uncodemy Certificate VerificationOnline Certificate Verification & Downloadcertificate.uncodemy.com_2.webp)
_3.webp)
Python
SQL
Statistics
Pandas
Numpy
TensorFlow/Keras
Power BITableau
ChatGPT
CopilotUncodemy Edutech Pvt. Ltd. runs Uncodemy, a career-focused IT training institute with physical centres in Delhi and Noida and live online classes that reach across India — Gurgaon and the rest of the NCR included. The focus stays on beginners, graduates, freshers and working professionals who want job-ready skills, not a semester of theory.
This Data Science program has you working directly in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, building every project on real data. The whole point is doing what businesses actually do with data — spot the pattern, build the model, produce the prediction, back the decision — so you can execute it, not just talk about it. A module-by-module breakdown of the curriculum is available to read before you sign up.
On top of the training itself, Uncodemy runs live instructor-led classes, practical assignments, project work, interview prep and career support. The exact scope of that support — what's covered and what isn't — sits in our career support policy, alongside the eligibility conditions, both published up front rather than after you've paid.
If you are still deciding on a direction, Uncodemy also runs Data Analytics, Business Analyst, machine learning course and Artificial intelligence training course for Gurgaon and NCR learners still weighing their options. Data Science and Data Analytics overlap on several foundational modules but point toward different job titles, so it's worth lining up both curricula before you pick one.
Portfolio review:Everything you've built gets reviewed and shaped into a portfolio that actually holds up under interview questions.
Resume & LinkedIn:Your resume gets reworked around the right keywords and real, measurable results, with your LinkedIn profile updated to match.
Interview preparation:Focused practice on Python and SQL problems, ML case studies, and the behavioural questions data science interviews actually ask.
Mock interviews:Run by working industry trainers, each one closing with written notes on what needs work.
Opportunity sharing:Openings that fit your profile come to you from our 850+ company network, with help all the way through applying and interviewing.
Continued support:Genuine assistance, not a job promise — no institute can honestly guarantee that. Learners who stay engaged keep getting support well after the program ends.
The professionals who teach this course
The live online sessions Gurgaon learners join are run by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, who has put in 15+ years across Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP — and personally signed off on the curriculum on this page.
Most institutes fold training and quality-checking into one person; Uncodemy keeps them apart. Trainers handle the live classes, and separate domain reviewers — specialists who aren't teaching your batch — verify the curriculum is technically sound and current. Upendra Kumar Tiwari is that reviewer for this program, so the syllabus isn't only being vouched for by the person delivering it.
Names, specialisations and backgrounds for every Uncodemy trainer and reviewer are public — check their profiles before you enrol, not after.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Science & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Science & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Science Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Science Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the data science and analytics track at Uncodemy, working with learners on Python, SQL, Excel and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Science Trainer
Expertise
Data Science Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
Director at Uncodemy
ExpertiseDirector at Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Uncodemy's Data Science Training is open for enrolment in Gurgaon right now. Live instructor-led sessions, real projects, hands-on assignments and structured interview prep are what you'll be working through — practical training that ends with you genuinely ready for interviews, not just familiar with the terms.
| Role | Core Tools |
|---|---|
| Data Scientist | Python, SQL, Scikit-learn, TensorFlow |
| Machine Learning Engineer | Python, TensorFlow, MLflow, Cloud |
| Data Analyst | SQL, Excel, Power BI |
| Business Intelligence Analyst | Power BI, Tableau, SQL, DAX |
| Data Engineer | Python, SQL, ETL, Cloud |
| AI/ML Research Associate | Python, PyTorch, NLP |
| Career Level / Role | Indicative Salary Range |
|---|---|
| Internship / Trainee | ₹10k–30k/month |
| Fresher Data Analyst | ₹3–6 LPA |
| Fresher / Junior Data Scientist | ₹4–8 LPA |
| Strong fresher with good projects + skills | ₹6–10 LPA |
| Data Scientist (1–3 years) | ₹8–15 LPA |
| Data Scientist (3–5 years) | ₹12–20+ LPA |
| Strong experienced candidate / product company | ₹20–30+ LPA |
| Factor | This Program |
|---|---|
| Duration | 8–9 months |
| Learning hours | 150+ hours |
| Tools covered | 15+ tools |
| Gen AI module | Dedicated 10-hour module |
| Projects | 5 guided + 1 capstone |
| Career support | Resume, LinkedIn, mock interviews, hiring network |
| If you want... | Recommend |
|---|---|
| Only Excel + Power BI basics | A shorter course may be sufficient |
| Full data science career transition | This program |
| Analytics role in Gurgaon's GCC, consulting or BFSI ecosystem | This program |
| Product-company or GCC analytics role elsewhere in NCR | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
Expect 8–9 months of training, made up of 150+ hours spread over 90+ live sessions. Gurgaon learners can join either the weekday evening track or the weekend track, both delivered live online.
None needed. The opening weeks start from zero — Python basics and Excel first — and SQL only enters the picture once you can write simple Python on your own.
Fifteen-plus tools go into the syllabus: Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow/Keras | Power BI | Tableau | Matplotlib | Seaborn | Jupyter | Google Colab | ChatGPT | Copilot | MLflow
It does — a full 10-hour module (Module 9) is built around Generative AI, LLMs and prompt engineering, and covers writing code with AI help, catching where AI output is wrong, data-privacy limits, and using these tools responsibly at work.
Five guided projects, spanning retail, banking, HR, e-commerce and healthcare, come first, followed by a capstone project you choose yourself — six pieces of work in total, all interview-ready.
Every one of the 90+ classes is live, run by an actual trainer, not a recording. A recording does go out after each session for revision, and both online and classroom batches teach the same content.
₹21,500 plus 18% GST is the fee, taking the total to ₹25,370 — one figure that covers every session, all study material, the projects, certification and career support. If you'd rather split it, EMI starts at ₹4,622/month for 6 months.
They are. EMI plans begin at ₹4,622/month over 6 months, though the precise figure, tenure and eligibility shift with the financing option you pick — your counsellor finalises the exact plan with you.
You can — a free live demo runs before you commit to anything. Sit through it, judge the trainer and the curriculum for yourself, then decide. Get in touch to book a seat.
Career and placement support runs throughout: resume building, LinkedIn optimisation, portfolio review, interview prep, mock interviews and openings shared from our 850+ company network. What we cannot do is guarantee a job — that decision always sits with the employer.
Freshers do land entry-level roles regularly, provided they show up with working Python, usable SQL, one solid ML project and a portfolio — which is exactly what this program is structured to produce. In Gurgaon, given the density of GCCs and product companies right in the city, indicative entry-level Data Scientist pay runs ₹4–8 LPA, often toward the top of that range.
Bands run ₹4–8 LPA at entry level, ₹8–15 LPA in the middle years and ₹12–20+ LPA for senior data scientists. Because Gurgaon sits inside the NCR and hosts a dense cluster of GCCs, MNCs and product companies, local roles here tend to land in the upper half of each band rather than the middle — you don't need to relocate to reach metro-level pay. Uncodemy does not guarantee any specific salary outcome.
Six titles line up with this syllabus: Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Data Analyst or Junior Data Scientist is where most people start.
A degree in any discipline clears the bar. Coding or analytics experience isn't assumed, and final-year students, working professionals and career changers are equally welcome.
They aren't guarantees — they're sourced from Uncodemy's own records plus public review-platform data, and both ratings and review counts shift over time. What a given learner earns or where they land depends on their skills, experience, location, employer and the market at that moment. Career support is real support, not a promise of a job or a salary figure, and EMI conditions follow whichever financing plan applies.
Not in Gurgaon itself — Uncodemy has no physical centre here. What Gurgaon learners get instead is live online batches running the identical syllabus, trainers and projects as classroom. Because Gurgaon sits inside the NCR, the Delhi centre is only about 35 km away (roughly an hour by road or metro) and the Noida centre about 45–55 km (1.5–2 hours given Delhi traffic), so classroom or hybrid attendance is genuinely workable for learners who want it — most still choose live online simply because it removes the commute entirely.
Live online remains the batch most Gurgaon learners pick — same syllabus, same trainers, same projects as classroom — mainly because it cuts out a daily commute entirely. But unlike learners based further away, Gurgaon genuinely sits close to both physical centres: Delhi is roughly 35 km off, about an hour by road or metro, and Noida is roughly 45 to 55 km off, typically 1.5 to 2 hours once Delhi's traffic is factored in. If in-person learning works better for you, or you're already commuting toward Delhi for other reasons, dropping into a classroom batch at either centre is a realistic option here — not just a line on a page.
4.7/5
5/5
4.7/5
5/5
4/5
5/5