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Read More →Uncodemy brings an 8–9 month, instructor-led Data Science with Generative AI curriculum to Namakkal students. The program covers Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, and Gen AI. Teaching happens live online, and classroom sessions at our Delhi and Noida centres are accessible for those who commute to Delhi NCR. Real projects, recorded classes, and career support are all part of the package. Fee: ₹21,500 + GST (Total: ₹25,370).
Learn from industry professionals with 8+ years of experience
Work on real-time projects and case studies
Get lifetime access to recorded sessions and materials
Resume building, mock interviews, and job support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
Learners who finish Uncodemy's Data Science program develop practical abilities across Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, and Gen AI. Once training and career preparation are done, eligible learners can apply for positions like 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 is the discipline of deriving insights and predictions from data by merging statistics, programming, and subject-matter expertise. It covers the full journey — gathering and cleaning data, constructing and testing models, and explaining the results. Businesses rely on it to understand customer behaviour, forecast demand, spot fraud, personalise recommendations, and automate decisions that were once manual.
In day-to-day work, a data scientist pulls data from databases and business systems, cleans and explores it, builds and evaluates machine learning models, and converts the output into business recommendations. A typical week means writing Python and SQL, tuning models, discussing metrics with stakeholders, and deploying or monitoring models already in production.
Data analytics primarily explains what happened and why. Data science goes further by predicting what is likely to happen next. Business analytics, on the other hand, centers 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.
Open to Namakkal learners, this Data Science course runs for 8–9 months with 90+ live sessions and over 150 hours of learning. The program is organised into eleven modules that build progressively: Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI and Tableau, Generative AI and MLOps, plus a module on applying AI tools in daily data science work. Practical exercises on real datasets are embedded in each module, and the program ends with capstone projects for your portfolio. Classes are held live online, and classroom access is available at our Delhi and Noida centres for those moving 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.
Pick a batch timing that fits your routine. Try a free demo class first, or join an upcoming weekday or weekend live batch — both are designed with flexible timing for working professionals and students alike.
| 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 is divided into eleven modules totalling 150+ hours, following the sequence in which data scientists actually operate — obtain the data, clean it, analyse it, build models, deploy them, and communicate results. Every module wraps up with a graded practical assignment on a real dataset, and the final module consolidates everything 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 | 150+ Hours | 15+ tools | |
The Uncodemy Data Science Program Certificate is awarded upon completion of all eleven modules, assignments, and the capstone project. It includes the program name, duration, tools covered, completion date, and a verification reference, and is issued only after finishing the required coursework and assessment.
The certificate is provided alongside the practical work you complete during the program — assignments and projects across Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau, and Gen AI — and the capstone project applies everything you've learned in training.
The Data Science course in Namakkal 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 Edutech Pvt. Ltd. runs Uncodemy, a career-oriented IT training institute with classroom centres in Delhi and Noida and live online batches serving learners across India, including Namakkal and the wider Kongu region of Tamil Nadu. The courses are built for beginners, graduates, freshers and working professionals who want hands-on, job-relevant skills rather than theory alone.
In this program, learners get practical exposure to Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps, completing projects built on real datasets throughout. The training centres on how businesses actually use data in practice — spotting trends, building models, generating predictions and supporting decisions — so you finish able to do the work, not just talk about it. You can read the full module-by-module curriculum before you enrol.
Along with the coursework, Uncodemy offers instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support covers, and what it does not, is detailed in our career support policy, alongside the eligibility conditions shared prior to enrolment rather than once payment is made.
If a different path suits you better, Uncodemy also runs Data Analytics, Business Analyst, machine learning course and Artificial intelligence training course for Namakkal and Tamil Nadu learners. Data Science and Data Analytics share several foundational modules but end up in different roles, so comparing both curricula before deciding is a good idea.
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
Live online sessions for Namakkal learners are led by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy. He brings over 15 years of experience in Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud, and NLP, and has approved the curriculum on this page.
Uncodemy separates the roles of trainer and curriculum reviewer, unlike institutes where one person handles both. Trainers conduct the live sessions, while domain reviewers — who do not teach that specific batch — independently verify that the curriculum is technically accurate and up-to-date. Upendra Kumar Tiwari serves as the domain reviewer here, ensuring course content is not self-certified by the instructor delivering it.
The names, domains, and backgrounds of all Uncodemy trainers and domain reviewers are publicly available — allowing for verification before enrollment, not after payment.
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.
Uncodemy's Data Science course is now open to Namakkal learners. It combines instructor-led training with practical projects, regular assignments, and structured career preparation, so you finish with practical Data Science skills you can apply immediately.
| 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 |
| Coimbatore / Bengaluru analytics career | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The program spans 8–9 months, comprising over 150 hours of training across 90+ live sessions. Both weekday and weekend batches are available.
Yes. No prior coding experience is required. Python and SQL are taught from scratch, and the first month focuses on Python basics and Excel, which are beginner-friendly.
The course covers over 15 tools, including 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 module covering Generative AI, LLMs, and prompt engineering. It includes AI-assisted coding, model evaluation, RAG basics, and how to verify AI-generated output.
You will complete five guided projects spanning retail, banking, HR, e-commerce, and healthcare domains, along with a capstone project of your choice — all of which build a strong portfolio for interviews.
All 90+ sessions are live and instructor-led. Recordings remain accessible for revision afterwards. Both live online and classroom formats follow the same syllabus.
The course fee is ₹21,500 plus 18% GST, totaling ₹25,370. This covers all sessions, materials, projects, certification, and career support with no hidden charges. EMI options start from ₹4,622/month over 6 months.
Yes, EMI is available starting from ₹4,622/month for 6 months. The exact amount, duration, and eligibility depend on your chosen financing option — a counsellor can clarify the details.
Yes, a free online demo class is available so you can experience the teaching style, meet the trainer, and review the curriculum before deciding. Contact us to book your slot.
Yes, dedicated career and placement support is provided. This includes resume building, LinkedIn optimization, portfolio review, interview preparation, mock interviews, and sharing job openings through our 850+ company network. We do not promise employment, as hiring decisions are made by employers.
Yes, entry-level positions are open to freshers. Employers typically look for working knowledge of Python and SQL, at least one ML project, and a portfolio — this program is designed to cover all three. Entry-level Data Scientist pay across India indicatively sits at ₹4–8 LPA, with Coimbatore and Bengaluru roles often landing at the higher end of that band.
Indicative salary bands are ₹4–8 LPA at entry level, ₹8–15 LPA mid-level, and ₹12–20+ LPA for senior data scientists. Salaries within Namakkal tend to sit toward the lower part of these ranges, though remote positions with companies in Coimbatore, Bengaluru, Hyderabad, or Pune can come closer to metro-level pay. Uncodemy does not guarantee any specific salary outcome.
Possible roles 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 field of study can enroll. No prior coding or analytics experience is required. Final-year students, working professionals, and career changers are all welcome.
The figures provided are based on Uncodemy's internal data and publicly available review platforms, both of which can change over time. Placement and salary results vary based on the learner, skills, experience, location, employer, and market conditions — career assistance is not a guarantee of a job or fixed pay. EMI terms depend on applicable financing conditions.
Currently, Namakkal does not have a physical Uncodemy centre. Learners from Namakkal typically opt for live online batches, which mirror the classroom track's syllabus, trainers, and projects. The closest classroom centres are in Delhi and Noida, reachable if you're willing to travel to the NCR, though most Namakkal learners find live online more convenient.
Namakkal does not have a physical Uncodemy centre yet, so learners here join the live online batches — same syllabus, same trainers, same projects as classroom. If you are relocating to Delhi NCR or visiting often, our Delhi and Noida centres are open for in-person sessions. Most Namakkal 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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