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Read More →Uncodemy's Data Science with Generative AI program gives India learners a structured, practical route into data and analytics roles. Across 8–9 months you build working command of Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and applied Generative AI through 90+ live instructor-led sessions. Attend live online from anywhere in India and the surrounding Nashik district, or join classroom batches at our Delhi and Noida centres whenever you travel. Program fee is ₹21,500 + 18% GST (total ₹25,370) with EMI options and full career support.
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
After finishing the Uncodemy Data Science program, learners have practical command of Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Generative AI. With training plus career preparation, eligible candidates can apply for roles such as 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
Data science blends statistics, programming and domain understanding to turn raw data into usable insight and forward-looking prediction. The workflow covers gathering and cleaning data, building and validating models, and translating numbers into decisions a business can act on. Organisations rely on it to read customer behaviour, forecast demand, flag fraud early, sharpen recommendations and automate calls that once depended on manual judgement.
What does a data scientist do? Day to day, a data scientist pulls data from business systems and databases, cleans and explores it, trains and evaluates machine learning models, and turns the results into clear recommendations for decision-makers. A typical week mixes Python and SQL work, model tuning, metric walkthroughs with stakeholders and monitoring a deployed model in production.
Data analytics explains what happened and why. Data science predicts what is likely to happen next. Business analytics focuses on business strategy and process improvement.
| 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.
For learners in India, this Data Science program runs over 8–9 months and covers 90+ live sessions and 150+ learning hours across eleven modules that build on one another — Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps — along with a dedicated module on how AI tools fit into everyday data science work. Each module ends with hands-on exercises on real datasets, and the program concludes with capstone projects that strengthen your interview portfolio. India learners typically join live online sessions, which suit working professionals and career changers across India and the wider Nashik district, while also giving them access to classroom batches at our Delhi and Noida centres whenever needed.
Who should join this course:
Eligibility: A graduate degree from any discipline is enough. No prior coding background is required, as Python and SQL are taught from the beginning. Basic mathematical comfort is helpful but not mandatory, because the statistics module gradually builds that foundation. For practice sessions, we recommend a laptop with at least 8GB RAM and a stable internet connection.
Pick a batch timing that fits your work or study schedule. Book a free demo class first-hand, or join one of our upcoming weekday and weekend live batches, designed for both working professionals and students with flexible timings and hands-on training.
| 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 Khan | 02Seats |
Seats are limited and updated daily. All timings are in IST.
The syllabus is split into eleven modules with 150+ learning hours, ordered the same way data science work actually happens — collecting data, cleaning it, analysing it, building models, deploying them and presenting the findings. Every module ends with a practical assignment based on a real dataset, and the final module pulls everything together through 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 | 150+ Hours | 15+ tools | |
Once you complete all eleven modules, the assignments and the capstone project, you receive the Uncodemy Data Science Program Certificate. The certificate carries the program name, duration, tools covered and completion date, together with a verification reference. It is issued only after the required coursework and assessment are done, giving you formal proof of finishing the Uncodemy Data Science program.
Alongside the certificate, learners also keep the practical work completed during the program — assignments and projects built with the Data Science tools covered in the curriculum, such as Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Generative AI. The capstone project gives students the chance to apply what they have learned to a real-world problem.
The Data Science course in India provided by Uncodemy includes a verified Uncodemy Data Science Program Certificate that can be verified online through the official Uncodemy Certificate Portal.
Uncodemy Certificate VerificationOnline Certificate Verification & Downloadcertificate.uncodemy.com_2.webp)
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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 training centres in Delhi and Noida and live online classes for learners across India, including India and the wider Nashik region. Our courses are built for beginners, graduates, freshers and working professionals who want practical, job-relevant skills instead of theory alone.
In this Data Science program, learners work with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps through projects built on real datasets. The training focuses on how businesses actually use data — spotting patterns, building models, generating predictions and supporting decisions — so learners can do the work, not just describe it. You can review the full module-by-module curriculum before enrolling.
Along with training, Uncodemy provides instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What this support includes — and what it does not — is clearly laid out in our career support policy, along with the eligibility conditions that are 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 India and Maharashtra learners. Data Science and Data Analytics share several foundational modules, but they lead to different roles, so it is useful to compare both curricula before making a decision.
Portfolio review:Your experience and guided projects are reviewed and refined into a data science portfolio an interview will find credible.
Resume & LinkedIn:We build your resume around your keywords and measurable outcomes, and align your LinkedIn profile to match.
Interview preparation:Python and SQL problem sets, ML case studies, and behavioral questions specific to data science hiring.
Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.
Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.
Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.
The professionals who teach this course
Live online sessions for India learners are led 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 approved the curriculum shown on this page.
Uncodemy keeps two roles separate, something many institutes combine. Trainers run the live sessions, while domain reviewers — independent specialists who do not teach the batch — check that the curriculum stays technically accurate and current. For this program, the technical content is reviewed by Upendra Kumar Tiwari, so the person teaching the course is not the only one validating its quality.
Every trainer and domain reviewer associated with Uncodemy is published by name, along with their area of expertise and background — you can review their profiles before enrolling rather than 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.
Start your Uncodemy Data Science Training for India learners today. Build practical Data Science skills through instructor-led live sessions, real projects, hands-on assignments and structured career preparation. Give your Data Science journey a head start with hands-on training and guided interview readiness.
| 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 near India or a remote/Pune/Mumbai data role | This program |
| Remote or Nashik/Pune/Bengaluru analytics role | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The program runs 8–9 months with 150+ learning hours spread across 90+ live sessions. Weekday and weekend live online batches are both available for India learners.
Yes. No coding background is expected. The first month starts Python fundamentals and Excel from scratch, and SQL is introduced only once you are comfortable with basic Python.
You work with 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 spends 10 hours on Generative AI, LLMs and prompt engineering, covering AI-assisted coding, output validation, data-privacy boundaries and responsible usage at work.
You complete five guided projects spanning retail, banking, HR, e-commerce and healthcare domains, plus one capstone project of your choice — six in total for your portfolio.
All 90+ sessions are live and instructor-led. Recordings are shared after each class for revision, and live online and classroom batches follow the same syllabus.
The program fee is ₹21,500 plus 18% GST, making the total payable ₹25,370. This covers every session, learning material, project, certification and career-support service. EMI starts at ₹4,622/month over 6 months.
Yes — EMI starts at ₹4,622 per month across a 6-month tenure. The final amount, tenure and eligibility depend on the payment or financing plan you choose, and your counsellor confirms the exact option.
Yes — you can attend a free live online demo session first. Experience the trainer's teaching style and review the curriculum before paying anything. Reach out to book a slot.
We provide dedicated career and placement assistance: resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing across our 850+ company network. We do not guarantee employment, since hiring decisions rest with employers.
Yes — freshers regularly step into entry-level roles. Employers look for working Python, SQL, at least one ML project and a portfolio, which is exactly what this program builds. Indicative entry-level Data Scientist salaries in India and Maharashtra are ₹4–8 LPA.
Indicative ranges are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Local India roles in pharma, engineering, healthcare and education typically sit in the middle of each band, while Nashik, Pune, Bengaluru and Delhi NCR roles generally pay closer to the top. Uncodemy does not guarantee any specific salary outcome.
This course maps to roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates begin as a Data Analyst or Junior Data Scientist.
Any graduate from any discipline can join. No prior coding or analytics background is needed. Final-year students, working professionals and career changers all qualify.
All figures come from Uncodemy's internal records and publicly available review-platform data. Ratings and review counts can change. Placement and salary outcomes vary by learner, skills, experience, location, employer and market. Career and placement assistance is not a guarantee of employment or a specific salary. EMI terms are subject to applicable payment or financing conditions.
There is no physical Uncodemy centre in India. Learners join live online batches carrying the same syllabus, trainers and projects as classroom. The nearest physical centres are in Delhi and Noida — most India learners choose live online for convenience.
India learners join our live online batches, which carry the identical syllabus, trainers and projects as classroom. There is no physical Uncodemy centre in India; the nearest classroom centres are in Delhi and Noida. Almost all India-based learners pick live online for convenience.
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