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Read More →This Data Science with Generative AI program at Uncodemy, Nangloi Jat runs 8–9 months as an instructor-led course covering Python, SQL, Statistics, Machine Learning, Deep Learning, NLP, Power BI, Tableau and Gen AI. Learners can attend classroom batches at our Delhi (Laxmi Nagar) centre — a 2-minute walk from Laxmi Nagar Metro Station on the Blue Line — or choose live online / the Noida classroom option. The program includes practical projects, session recordings and career-support services, with the current fee at ₹21,500 + GST, totalling ₹25,370.
Sessions led by trainers with 8+ years of industry experience
Build real-time projects and case studies
Lifetime access to recordings and study material
Resume building, mock interviews and job-search support
Uncodemy completion certificate
Weekday and weekend, online and offline options
Learners who complete the Data Science training program at Uncodemy build practical skills in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. After finishing their training and career preparation, eligible learners can apply for roles such as Data Scientist, Data Analyst or 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
Data science combines statistics, programming and domain knowledge to extract insights and predictions from raw data. It spans collecting and cleaning data, building and evaluating models, and communicating findings to stakeholders. Businesses rely on it to understand customer behaviour, forecast demand, detect fraud, personalise recommendations and automate decisions that previously required manual judgement.
What does a data scientist do? On a typical week, a data scientist pulls data from databases and business systems, cleans and explores it, builds and evaluates machine-learning models, and turns findings into clear business recommendations. The day-to-day involves writing Python and SQL, tuning models, reviewing metrics with stakeholders, and either deploying or monitoring a model in production.
Data analytics answers what happened and why. Data science predicts what comes next. Business analytics decides what the business should do.
| 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.
This Data Science course in Nangloi Jat spans 8–9 months, 90+ live sessions and 150+ hours of learning, delivered through eleven progressive modules — Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI and Tableau, Generative AI and MLOps, plus a dedicated module on using AI tools in real data-science workflows. Every module includes practical exercises on real datasets, and the course closes with capstone projects that become your interview portfolio. Nangloi Jat learners can attend classroom sessions at our Delhi (Laxmi Nagar) centre — reachable via the Green and Blue Line metro (interchange at Kirti Nagar or Inderlok) — or join live online from West Delhi, Mundka, Peeragarhi and the wider NCR.
Who should join this course:
Eligibility: A graduate degree in any discipline is required. No prior programming experience is needed — Python and SQL are taught from scratch. Basic mathematical comfort helps but is not mandatory, as the statistics module builds foundations from the ground up. A laptop with 8GB RAM and stable internet is recommended for hands-on sessions.
Pick the batch timing that fits your schedule. You can book a free demo class first, or join any of our upcoming weekday and weekend live batches — designed for both working professionals and students, with flexible timings and practical, hands-on training.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 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 |
| 19Oct | 07:30 PM – 08:30 PM | Mr. Upendra Kumar tiwari | 02Seat |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Sept | 03:00 PM – 05:00 PM | Mr. Irshad | 02Seats |
Seats are limited and updated daily. All timings are in IST.
The syllabus is split into eleven modules covering 150+ hours of learning, following the real workflow of a data scientist — collect data, clean it, analyse it, build models, deploy them and communicate the results. Every module ends with a graded practical assignment on a real dataset, and the final module pulls everything together into portfolio 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 | 155+ Hours | 15+ tools | |
Once all eleven modules, assignments and the capstone project are completed, learners receive the Uncodemy Data Science Program Certificate. The certificate carries the program name, duration, tools covered and completion date, along with a verification reference. It is issued only after the required coursework and assessment are complete, providing a record of successful completion of the Uncodemy Data Science program.
The certificate is issued alongside the practical work completed during the program. Learners work on assignments and projects using the Data Science tools covered in the curriculum — Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. The capstone project gives learners a chance to apply everything covered during training to a real business problem.
The Data Science course in Nangloi Jat from Uncodemy includes a verified Uncodemy Data Science Program Certificate, checkable online through the official Uncodemy Certificate Portal.
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Python
SQL
Statistics
Pandas
Numpy
TensorFlow/Keras
Power BITableau
ChatGPT
CopilotUncodemy is a career-focused IT training institute run by Uncodemy Edutech Pvt. Ltd., with physical training centres in Delhi (Laxmi Nagar) and Noida, plus live online classes reaching learners across India. Courses are designed for beginners, graduates, freshers and working professionals who need practical, job-relevant skills rather than theory alone.
In this Data Science program, learners work with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps, completing projects on real datasets. Training focuses on how businesses actually use data — spotting trends, building models, generating predictions and supporting decisions — so learners can do the work, not just describe it. You can read the full module-by-module curriculum before you enrol.
Beyond training, Uncodemy provides instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support includes — and what it does not — is laid out in our career support policy, along with the eligibility conditions published before enrolment rather than after payment.
If you are still deciding on a direction, Uncodemy also runs Data Analytics, Business Analyst, machine learning course and Artificial intelligence training course for Nangloi Jat and Delhi-NCR learners. Data Science and Data Analytics share several foundational modules but lead to different roles, so it is worth comparing both curricula before choosing.
Portfolio review:We review your guided projects and experience, then refine them into a data science portfolio that interviewers take seriously.
Resume & LinkedIn:We build your resume around measurable outcomes and targeted keywords, and align your LinkedIn profile to match.
Interview preparation:Practice sets for Python and SQL, machine-learning case studies, and behavioural questions tailored to data-science hiring.
Mock interviews:Sessions with industry trainers, followed by written feedback on what to improve.
Opportunity sharing:Relevant openings from our 850+ company hiring network are shared with you, along with support through the application and interview process.
Continued support:This is active assistance, not a guarantee of employment — no institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.
The people who actually teach this course
Classroom and live online sessions in Nangloi Jat are delivered by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, who brings 15+ years of experience across Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. He also reviewed and signed off on the curriculum on this page.
Uncodemy separates two roles that most institutes merge into one. Trainers run the live sessions. Domain reviewers — separate specialists who don't teach the batch — verify that the curriculum stays technically accurate and current. For this program, the technical content is reviewed by Upendra Kumar Tiwari. The result: the trainer teaching the course is not the only person checking whether its content is correct.
Every trainer and domain reviewer at Uncodemy is published by name, with their domain and background — so you can look them up before enrolling, 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.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and 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.
Enrol in Uncodemy's Data Science Training in Nangloi Jat today. Build practical Data Science skills through classroom or live online instructor-led training, hands-on projects, assignments and career preparation. Start structured, job-focused Data Science learning at our Laxmi Nagar centre or online.
| 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 |
| In-person classroom in Delhi | This program (Laxmi Nagar centre) |
| Analytics role in Delhi NCR (IT, BFSI, consulting) | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The course spans 8–9 months, with 150+ hours of learning across 90+ live sessions. Weekday and weekend batches run at our Delhi (Laxmi Nagar) centre and live online.
Yes. No previous programming experience is needed. Python and SQL are taught from the ground up, and the first month covers Python fundamentals and Excel, which require no traditional coding background.
15+ tools, including Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow/Keras | Power BI | Tableau | Matplotlib | Seaborn | Jupyter | Google Colab | ChatGPT | Copilot | MLflow
Yes. Module 9 is a 10-hour module dedicated to Generative AI, LLMs and prompt engineering — covering AI-assisted coding, model evaluation, RAG basics and how to verify AI output.
Five guided projects spanning retail, banking, HR, e-commerce and healthcare, plus one capstone project you choose yourself. Every project goes into a portfolio you can show in interviews.
All 90+ sessions are live and instructor-led, and recordings are available for revision afterwards. The Delhi classroom, Noida classroom and live online formats cover the identical syllabus.
The program fee is ₹21,500 plus 18% GST, totalling ₹25,370. This covers every session, material, project, certification and career-support service, with no additional charges. EMI starts from ₹4,622/month for 6 months.
Yes. EMI begins at ₹4,622 per month for 6 months. The exact amount, tenure and eligibility depend on the payment or financing option you select — a counsellor can confirm your plan.
Yes. You can attend a free demo session at our Delhi (Laxmi Nagar) centre or live online to see the teaching style, meet the trainer and go through the curriculum before deciding.
We provide dedicated career and placement assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our 850+ company network. We do not guarantee employment, since hiring decisions rest with employers.
Yes, freshers are eligible for entry-level roles. Employers typically look for working Python, SQL, one ML project and a portfolio — the program is built to deliver all three. Entry-level Data Scientist salaries in Delhi NCR are indicatively ₹4–8 LPA.
Indicative ranges: ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Actual salaries vary by sector, company, skills and experience. Uncodemy does not guarantee any specific salary outcome.
Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates start as a Data Analyst or Junior Data Scientist.
Any graduate from any discipline can enrol. No prior coding or analytics experience is required. Final-year students, working professionals and career changers are all welcome.
Statistics are drawn from Uncodemy's internal records and publicly available review-platform information. Review counts and ratings may change over time. Placement and salary outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance is not a guarantee of employment or a specific salary package. EMI terms are subject to applicable payment or financing conditions.
Yes. Uncodemy runs a physical training centre in Delhi at 2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Road, Shakarpur Extension, Laxmi Nagar — 2 minutes from Laxmi Nagar Metro Station on the Blue Line. From Nangloi Jat, it is reachable via the Green Line with an interchange at Kirti Nagar or Inderlok. Weekday and weekend classroom batches run here alongside live online batches, and a Noida centre serves learners on the eastern NCR side.
Uncodemy's Delhi NCR hiring network includes companies such as HSBC, Fiserv, Clarivate, Genpact and upGrad, alongside 850+ companies nationwide. Verified learner placements include roles at HSBC (Business Analyst), Clarivate (Intellectual Property Analyst), Fiserv (Business Analyst) and Genpact (Process Developer Analyst). See verified placement outcomes →
Uncodemy's Delhi centre is in Laxmi Nagar, Shakarpur Extension — 2 minutes from Laxmi Nagar Metro Station on the Blue Line, and reachable from Nangloi Jat via the Green Line (interchange at Kirti Nagar or Inderlok). Walk in for a free demo class, meet the trainers and see the classroom setup before you enrol. A second centre operates in Noida (Sector 1) for learners on the eastern NCR side.
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