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Read More →Nagapattinam learners can now enrol in Uncodemy's Data Science with Generative AI — an 8–9 month, instructor-led program covering Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Sessions are delivered live online, with classroom access at our Delhi and Noida centres for those relocating to Delhi NCR. Practical projects, session recordings and career support are all part of the package. Current fee: ₹21,500 + GST (₹25,370 total).
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
Once learners finish Uncodemy's Data Science training, they emerge with practical command over Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. With training and career preparation complete, eligible candidates can go on to apply for positions 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 blends statistics, programming and domain expertise to extract insight and predictions from data. It touches on every stage — collecting and cleaning data, constructing and evaluating models, and explaining findings clearly. Companies apply it to understand customers, forecast demand, spot fraud, deliver personalisation and automate choices that once needed manual effort.
What does a data scientist do? In practice, a data scientist pulls data from databases and business systems, cleans and explores it, then builds and evaluates machine learning models before translating the output into actionable recommendations. A typical week involves writing Python and SQL, tuning models, discussing metrics with stakeholders, and monitoring or deploying models that are already live.
Data analytics explains what has already happened and why. Data science looks ahead, predicting what is likely to happen next. Business analytics, by contrast, is centred on business processes and strategy.
| 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.
The Data Science course for Nagapattinam is structured over 8–9 months and 90+ live sessions, offering 150+ learning hours across eleven progressively built 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 integrating AI tools into daily data science tasks. Every module includes practical work on real datasets, and the program finishes with capstone projects that form your portfolio. Nagapattinam learners attend live online sessions from home, and classroom access is available at our Delhi and Noida centres for those relocating to Delhi NCR.
Who should join this course:
Eligibility: A graduate degree in any discipline. No prior programming experience is required — Python and SQL are taught from the first line of code. Comfort with basic mathematics is helpful but not essential; the statistics module builds this from the ground up. A laptop with 8GB RAM and a stable internet connection is recommended for practical sessions.
Select a batch schedule that works around your daily routine. If you'd like to experience the teaching first, book a free demo class; otherwise, enrol directly into an upcoming weekend or weekday live batch. Both formats feature flexible timings for students and working professionals, and combine live instruction with practical, hands-on work. Live online batches are open to all.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 28Sept | 02:00 PM – 03:00 PM | Mr. Irshad Khan | 01Seat |
| 02Oct | 10:30 AM – 11:30 AM | Ms. Rachna Verma | 02Seats |
| 06Oct | 12:00 PM – 01:00 PM | Mr. Syed Najeeb | 01Seat |
| 19Oct | 07:30 PM – 08:30 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| 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.
Spread across eleven modules and 150+ learning hours, the syllabus follows the sequence a working data scientist actually follows — fetch the data, clean it, analyse it, build models, deploy them, and communicate results. Every module closes with a graded practical assignment on a real dataset, and the last module ties everything into portfolio-ready work.
| # | 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 | |
After completing all eleven modules, the assignments and the capstone project, learners receive the Uncodemy Data Science Program Certificate. It documents the program name, duration, tools covered and completion date, along with a verification reference. The certificate is issued only once the required coursework and assessment have been successfully cleared.
The certificate is presented alongside the practical work you complete during the program. Learners work on assignments and projects using the Data Science tools from the curriculum — Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI — and the capstone project lets you apply everything covered in training.
The Data Science course in Nagapattinam 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
Excel
Power BI
Tableau
ChatGPT
CopilotUncodemy, run by Uncodemy Edutech Pvt. Ltd., is a career-focused IT training institute with classroom centres in Delhi and Noida and live online classes reaching learners across India, including Nagapattinam and the wider Tamil Nadu belt. Courses are designed for beginners, graduates, freshers and working professionals who want practical, job-ready skills rather than theory-heavy lessons.
Through this Data Science program, learners get hands-on experience with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps, and complete projects on real datasets. The training focuses on how businesses actually use data — spotting trends, building models, producing predictions and supporting decisions — so you finish able to do the work, not just talk about it. You can explore the full module-by-module curriculum before enrolling.
Beyond training, Uncodemy provides instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support includes — and what it doesn't — is detailed in our career support policy, along with the eligibility conditions published before enrolment rather than after payment.
If a different path appeals more, Uncodemy also runs Data Analytics, Business Analyst, machine learning course and Artificial intelligence training course for Nagapattinam and Tamil Nadu learners. Data Science and Data Analytics share several foundational modules but lead to different roles, so it's worth comparing both curricula before choosing.
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 people who actually teach this course
Nagapattinam learners attend live online sessions led by Upendra Kumar Tiwari, whose 15+ years of industry experience covers Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. As Senior Data Science Trainer at Uncodemy, he also reviewed and approved the curriculum shown on this page.
Uncodemy deliberately separates two functions most training institutes combine. Trainers run the live sessions. Domain reviewers — specialists who don't teach the batch — independently check that the curriculum stays technically accurate and up to date. For this program, that verification role falls to Upendra Kumar Tiwari, which means the curriculum is not certified solely by the person teaching it.
Uncodemy publishes the name, domain and background of every trainer and domain reviewer it works with — so learners can look up credentials before enrolling rather than afterward.
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.
Begin your Data Science journey with Uncodemy in Nagapattinam today. The program combines instructor-led training, live projects, graded assignments and structured career preparation — so you finish with real, working Data Science skills you can put into practice.
| 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 |
| Remote data analyst / BI role | This program |
| Chennai / Bengaluru analytics career | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The full program spans 8–9 months with 150+ learning hours delivered across 90+ live sessions. Both weekday and weekend batches are available in live online mode.
Yes, definitely. There is no coding prerequisite — Python and SQL begin from absolute basics, and Month 1 is dedicated to Python fundamentals and Excel, both beginner-friendly.
The curriculum covers 15+ tools — Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Power BI, Tableau, Matplotlib, Seaborn, Jupyter, Google Colab, ChatGPT, Copilot and MLflow.
Yes. Module 9 is a dedicated 10-hour segment on Generative AI, LLMs and prompt engineering — covering AI-assisted coding, model evaluation, RAG basics and verifying AI-generated output.
The program includes five guided projects spanning retail, banking, HR, e-commerce and healthcare, plus one capstone of your choosing. Together they build a portfolio you can present in interviews.
Each of the 90+ sessions is live and taught by an instructor, with recordings available for later revision. Live online and classroom tracks follow the same syllabus.
The fee is ₹21,500 plus 18% GST, so ₹25,370 total. This covers every session, material, project, certification and career-support service — no hidden costs. EMI options start at ₹4,622/month over 6 months.
Yes — EMI starts at ₹4,622 per month over 6 months. The exact amount, tenure and eligibility depend on which financing option you select, and a counsellor can help you choose.
Yes, a free live online demo session is available before you commit. It's a good way to gauge the teaching style and review the curriculum first-hand.
Career and placement support is provided — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and openings shared through a network of 850+ companies. We don't guarantee employment, since hiring decisions belong to employers.
Yes — entry-level data roles are accessible to freshers. Employers typically want working Python and SQL, one ML project and a portfolio, and this program is built to deliver all three. Entry-level Data Scientist pay in India sits indicatively at ₹4–8 LPA, with remote and metro roles often higher.
Indicative bands are ₹4–8 LPA at entry, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior roles. Nagapattinam-based salaries tend to sit at the lower end of these ranges, but remote roles for companies in Chennai, Bengaluru, Hyderabad or Delhi NCR often pay closer to metro levels. Uncodemy does not guarantee any specific salary outcome.
The course maps to roles like Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most learners begin as Data Analyst or Junior Data Scientist.
Any graduate from any stream can enrol — no prior coding or analytics experience required. Final-year students, working professionals and career changers are all welcome.
All figures come from Uncodemy's internal records and publicly available review-platform data, both of which can change with time. Salary and placement outcomes depend on the learner, skills, experience, location, employer and market conditions. Career assistance is not a guarantee of employment or any specific salary package, and EMI terms are subject to applicable financing conditions.
Nagapattinam doesn't have a physical Uncodemy centre. Learners from Nagapattinam enrol in the live online batches, which follow the same syllabus, trainers and projects as classroom. The nearest classroom centres are in Delhi and Noida for those travelling or relocating to Delhi NCR.
Nagapattinam doesn't have a physical Uncodemy centre yet, so learners here join the live online batches — same syllabus, same trainers, same projects as classroom. If you're relocating to Delhi NCR or visiting often, our Delhi and Noida centres are open for in-person sessions. Most Nagapattinam learners stick with live online through the full program and only visit a centre occasionally for a demo or a doubt-clearing session.
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