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Read More →For learners in Naihati, Uncodemy offers a Data Science with Generative AI program that runs 8–9 months across live instructor-led classes. The curriculum covers Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI, with practical projects and recordings included. Sessions are delivered live online, and classroom access at our Delhi and Noida centres is available to those heading to Delhi NCR. The current course fee is ₹21,500 + GST, with total fees of ₹25,370.
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
Graduates of Uncodemy's Data Science training develop practical proficiency in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. With training and career preparation behind them, eligible candidates can pursue roles such as Data Scientist, Data Analyst or Machine Learning Engineer.
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Placed at:Jepius Healthcare
Data science is the craft of drawing insights and predictions out of raw data by weaving together statistics, programming and domain knowledge. The work extends from gathering and cleaning data to constructing, testing and validating models and then explaining outcomes to stakeholders. Businesses lean on it to decode customer behaviour, predict demand, uncover fraud, deliver personalisation and automate choices that were once made by hand.
What does a data scientist do? Typically, a data scientist extracts data from databases and business systems, cleans and explores it, and then constructs and tests machine learning models before translating their output into actionable recommendations. A normal week involves writing Python and SQL, tuning and validating models, discussing metrics with stakeholders, and deploying or monitoring models already in production.
Data analytics asks what already happened and why. Data science goes a step further, projecting what is likely to happen next. Business analytics, in contrast, focuses 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.
For Naihati learners, the Data Science course runs 8–9 months across 90+ live sessions and 150+ learning hours, structured into eleven modules that stack on one another — 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 how AI tools slot into day-to-day data science work. Every module includes exercises on real datasets, and the program wraps up with capstone projects that form your portfolio. Naihati learners attend live online sessions from home, and classroom access is available at our Delhi and Noida centres for those shifting 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.
Choose a batch schedule that works around your day. If you'd like to try before committing, book a free demo class; or enrol straight into an upcoming weekend or weekday live batch. Both formats offer flexible timings suited to students and working professionals, and blend live instruction with hands-on practice. 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.
The syllabus unfolds across eleven modules and 150+ learning hours, sequenced the way a working data scientist actually progresses — obtain the data, clean it, analyse it, build models, deploy them, then explain the outcomes. Every module finishes with a graded practical assignment on a real dataset, and the closing module consolidates 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 you finish all eleven modules, the assignments and the capstone project, Uncodemy awards the Data Science Program Certificate. It captures the program name, duration, tools covered and completion date, plus a verification reference, and is granted only once the required coursework and assessment are cleared.
The certificate accompanies the practical work you produce 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 from training.
The Data Science course in Naihati 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-oriented IT training institute with classroom centres in Delhi and Noida and live online classes reaching learners across India, including Naihati and the wider North 24 Parganas region of West Bengal. Courses are designed for beginners, graduates, freshers and working professionals who want practical, job-relevant skills rather than theory alone.
Through this Data Science program, learners get hands-on exposure to Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps, and complete projects on real datasets. The training centres on how businesses actually work with data — spotting trends, building models, producing predictions and supporting decisions — so you finish able to do the work rather than just describe it. You can review the full module-by-module curriculum before enrolling.
Alongside the training, Uncodemy offers instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support includes — and what it does not — is spelled out in our career support policy, along with the eligibility conditions published prior to enrolment rather than after payment.
If you'd rather explore a different direction first, Uncodemy also runs Data Analytics, Business Analyst, machine learning course and Artificial intelligence training course for Naihati and West Bengal learners. Data Science and Data Analytics share several foundational modules but lead to different roles, so comparing both curricula before deciding is worth doing.
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
Naihati learners join live online sessions taught by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, whose 15+ years of experience covers Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. He also reviewed and signed off the curriculum on this page.
Uncodemy deliberately keeps two roles separate that most institutes merge — trainers run the live sessions, while domain reviewers, who don't teach the batch, independently check that the curriculum stays technically accurate and current. In this program, Upendra Kumar Tiwari handles that review responsibility, which means the curriculum isn't certified solely by the person teaching it.
Uncodemy publishes the name, domain and background of every trainer and domain reviewer it works with — so prospective learners can verify 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.
Start your Data Science journey with Uncodemy in Naihati today. The course blends instructor-led training with live projects, graded assignments and structured career preparation — so you walk away with practical, working Data Science skills you can actually use.
| 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 |
| Kolkata metro / Bengaluru analytics career | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The program is spread across 8–9 months with 150+ learning hours delivered via 90+ live sessions. You can choose from weekday or weekend batches, both available in live online mode.
Absolutely. No coding experience is needed to start — Python and SQL begin from scratch, and the first month concentrates on Python basics and Excel, both of which suit complete beginners.
The course 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 10-hour dedicated track on Generative AI, LLMs and prompt engineering — covering AI-assisted coding, model evaluation, RAG fundamentals and how to verify AI-generated output.
You'll complete five guided projects covering retail, banking, HR, e-commerce and healthcare, plus one capstone of your own choosing. All of them go into a portfolio you can show recruiters.
Every one of the 90+ sessions is live and taught by a trainer, with recordings kept available for revision. Live online and classroom batches cover identical content.
The course fee is ₹21,500 plus 18% GST, totalling ₹25,370. That includes every session, material, project, certification and career-support service — nothing extra. EMI options begin at ₹4,622/month over 6 months.
Yes — EMI options start from ₹4,622 per month across 6 months. The exact amount, tenure and eligibility depend on the financing route you choose, and a counsellor can help you finalise the plan.
Yes — a free live online demo session is offered before you commit. It's a useful way to get a feel for the trainer's teaching approach and preview the curriculum.
Dedicated career and placement support is part of the program — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and openings shared through our network of 850+ companies. We can't promise employment, since hiring decisions sit with employers.
Yes — freshers are eligible for entry-level data roles. Employers typically want working Python and SQL skills, at least one ML project and a portfolio, and this program is designed to deliver all three. Entry-level Data Scientist pay in India sits indicatively at ₹4–8 LPA, with Kolkata and metro roles often toward the higher end.
Indicative ranges are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior roles. Naihati-based salaries tend toward the lower end of these bands, but remote roles and positions with Kolkata companies (roughly 50 km away) often pay closer to metro levels. Uncodemy does not guarantee any specific salary outcome.
Roles this course prepares you for include Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most learners start as a Data Analyst or Junior Data Scientist.
Any graduate from any discipline can enrol — there's no coding or analytics prerequisite. Final-year students, working professionals and career changers are all welcome.
These figures are drawn from Uncodemy's internal records and public review-platform data, both of which can change over time. Salary and placement outcomes depend on the individual learner, skills, experience, location, employer and market conditions. Career assistance is not a guarantee of employment or a specific salary package, and EMI terms are subject to applicable financing conditions.
There is no Uncodemy classroom in Naihati. Learners from Naihati join live online batches, which follow the same syllabus, trainers and projects as classroom. The nearest in-person centres are in Delhi and Noida for those who travel or relocate to Delhi NCR.
Nagapattinam does not currently have its own Uncodemy campus, so learners from here enrol in the live online batches — the same syllabus, the same trainers and the same projects that run in classroom. If you are shifting to Delhi NCR, or travel there often, our Delhi and Noida centres welcome you for in-person sessions. In practice, most Nagapattinam learners complete the entire program live online and drop by a centre only once in a while for a demo or a doubt-clearing session.
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