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Read More →For Kanyakumari learners, Uncodemy offers an 8–9 month Data Science and Generative AI course led by instructors. The syllabus includes Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau, and Gen AI. Classes are conducted live online for Kanyakumari, while classroom learning is available at the Delhi and Noida centres. The fee is ₹21,500 plus 18% GST, making the total payable amount ₹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
Completing the Uncodemy Data Science training helps learners build working knowledge of Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI. With the required training and career preparation completed, eligible learners can pursue positions such as Data Scientist, ML Engineer, Data Analyst, or Business Intelligence Analyst. Kanyakumari-related placement information is updated periodically at uncodemy.com/placement.
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:Hexalog
Placed at:SmartStudy
Placed at:CloudFirst Digital
Placed at:Jepius Healthcare
Data science uses programming, statistics, and subject knowledge to turn collected data into meaningful findings and useful predictions. The work includes gathering and preparing data, exploring it, developing models, and putting those models into use. Organisations apply it for demand forecasting, risk detection, personalised services, and large-scale decision automation.
What does a data scientist do? A data scientist obtains information from databases and business tools, removes errors, studies patterns, and creates and checks machine learning models. The findings are then shared with product, marketing, risk, or engineering teams. Their regular work may include SQL, Python notebooks, model testing, and presenting conclusions in a way that supports business decisions.
Data analytics describes past results, data science estimates future outcomes, and business analytics recommends the action a company should take.
| 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.
Kanyakumari learners complete this Data Science course over 8–9 months through 90+ live sessions and more than 150 learning hours. Its eleven modules move from Python, SQL, statistics, and EDA to machine learning, deep learning, NLP, Power BI/Tableau, Generative AI, MLOps, and a capstone. Practical work on real datasets is part of each module, followed by guided projects that can be included in a portfolio. Classes for Kanyakumari are live online, with classroom access offered at the Delhi and Noida centres.
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. Basic mathematics comfort 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.
Choose a batch timing that fits your schedule. Book a free demo class first-hand, or join our upcoming weekend and weekday 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 | 02Seats |
| 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 |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Sept | 03:00 PM – 05:00 PM | Mr. Kunal | 02Seats |
Seats are limited and updated daily. All timings are in IST.
The Kanyakumari syllabus contains eleven modules and more than 150 hours of instruction, arranged around the workflow used in real Data Science projects: collect, clean, study, model, deploy, and explain the data. Each module includes a graded exercise using a real dataset, while the closing module brings the learning together in portfolio projects.
| # | Module | Hours | Tools |
|---|---|---|---|
| 1 | Python for Data Science | 20 | Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter |
| 2 | SQL & Database Management | 15 | MySQL |
| 3 | Statistics & Probability | 15 | Excel, Python, SciPy |
| 4 | Data Cleaning & EDA | 12 | Python, Pandas |
| 5 | Machine Learning | 25 | Scikit-learn, XGBoost, LightGBM |
| 6 | Deep Learning & Neural Networks | 15 | TensorFlow, Keras |
| 7 | Natural Language Processing | 10 | NLTK, spaCy, Hugging Face |
| 8 | Power BI & Tableau | 15 | Power BI Desktop, Tableau Public |
| 9 | Generative AI, LLMs & Prompt Engineering | 10 | ChatGPT, Copilot |
| 10 | MLOps & Model Deployment | 8 | FastAPI, Docker, MLflow |
| 11 | Capstone & Career Prep | 10+ | All tools |
| Total | 150+ Hours | 15+ tools | |
After all eleven modules, assignments, and the capstone have been completed, learners receive the Uncodemy Data Science Program Certificate. It records the program title, duration, technologies covered, completion date, and verification reference. The certificate is issued after the required coursework and assessment have been successfully finished.
The certification is supported by the practical work completed during training. Learners use Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI in assignments and projects, then apply those concepts in the final capstone.
Kanyakumari learners who complete the Uncodemy Data Science course receive a verified Data Science Program Certificate. Its details can be checked online through the official Uncodemy Certificate Portal.
Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Python
SQL
Statistics
Pandas
NumPy
Power BI
Tableau
Excel
ChatGPT
Copilot
Uncodemy is an IT training institute operated by Uncodemy Edutech Pvt. Ltd. It has centres in Delhi and Noida and conducts live online classes for learners throughout India. The programs are intended for beginners, graduates, freshers, and working professionals seeking useful, employment-oriented skills.
In this Data Science program, learners practise with Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI while completing projects based on real datasets. The lessons show how organisations use data for forecasting, classification, segmentation, and model deployment. The complete module-by-module curriculum is available to review before enrolment.
The course also includes instructor-led classes, practical assignments, project work, interview preparation, and career guidance. The career support policy explains the assistance provided and its limits, while the eligibility conditions are shared before enrolment and payment.
If you are comparing career options, Uncodemy also offers Data Analytics training, Business Analyst, Machine Learning and Artificial Intelligence training programs for Kanyakumari and learners across India. Data Science and Data Analytics have some common foundations but prepare learners for different roles, so reviewing both curricula can help you decide.
Portfolio review: Your experience and guided projects are reviewed and refined into a 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: SQL problem sets, ML and statistics questions, 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
Classroom sessions at our Delhi and Noida centres and live online batches are taught by Uncodemy's senior trainer panel, with 10+ years average corporate training experience across data science, analytics and AI. The curriculum on this page was reviewed and signed off by Mr. Upendra Kumar Tiwari.
Uncodemy separates two roles that most institutes combine. Trainers deliver the live sessions. Domain reviewers — separate specialists who don't teach the batch — verify that the curriculum is technically accurate and current. For this program, the technical content is reviewed by Mr. Upendra Kumar Tiwari. It means the person teaching a course is not the only person checking whether its content is correct.
Every trainer and domain reviewer associated with Uncodemy is published by name, with their domain and background — you can look them up before you enrol 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 Analytics & 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 Analytics & 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 Analytics 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 Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL 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 Analytics Trainer
Expertise
Data Analytics 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.
Enroll in Uncodemy's Data Science Training for Kanyakumari learners today. Develop practical data science skills through instructor-led live online training, real projects, assignments and structured career preparation — from Python and SQL through machine learning, deep learning and Gen AI.
| Role | Core Tools |
|---|---|
| Data Scientist | Python, SQL, Scikit-learn, TensorFlow, Power BI |
| ML Engineer | Python, TensorFlow, Docker, MLflow, FastAPI |
| Data Analyst | SQL, Excel, Python, Power BI |
| Business Intelligence Analyst | Power BI, Tableau, SQL, DAX |
| Data Engineer | SQL, Python, ETL tools, cloud data platforms |
| AI/ML Research Associate | Python, PyTorch/TensorFlow, NLP libraries |
| Level | 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 Python + Power BI basics | A shorter course may be sufficient |
| Full data science career transition | This program |
| Heavy analytics and dashboarding focus | Consider Data Analytics |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The program runs for 8–9 months and includes 150+ hours of learning across 90+ live sessions. Weekday and weekend batches are both available.
Yes. No prior programming experience is required. Python and SQL are taught from the beginning, and the first modules focus on Python fundamentals and SQL, which need no traditional coding background.
15+ tools including Python, SQL, Statistics, 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 on Generative AI, LLMs and prompt engineering, covering AI-assisted SQL and Python, Copilot in Excel and Power BI, RAG basics, and verifying AI output.
Five guided projects across BFSI, e-commerce, retail, healthcare and NLP domains, plus one capstone project of your own choosing. All projects go into a portfolio you can show in interviews.
All 90+ sessions are live and instructor-led, with recordings available afterwards for revision. Live online and classroom formats cover the identical syllabus.
The program fee is ₹21,500 plus 18% GST, total fee ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,622/month.
Yes. EMI starts from ₹4,622 per month for 6 months. The exact amount, tenure and eligibility depend on the payment or financing option you choose — a counsellor can confirm your plan.
Yes. You can attend a demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.
We provide dedicated career and placement assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment, as hiring decisions rest with employers.
Yes, entry-level roles are open to freshers. Employers typically expect working Python, SQL, one ML framework and a portfolio — this program is built to deliver all four. Entry-level data science salaries are indicatively ₹4–8 LPA.
Indicative ranges are ₹4–8 LPA at fresher level, ₹8–15 LPA for 1–3 years, and ₹12–20+ LPA for 3–5 years. Kanyakumari salaries often sit below Chennai and Bengaluru at the same experience band, though remote roles and roles with Chennai or Bengaluru-headquartered employers can pay at par. Actual salaries vary by sector, company, skills and experience.
Data Scientist, ML Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates begin as a Data Scientist, Data Analyst or ML Engineer.
Any graduate from any discipline can enrol. No prior coding or analytics experience is needed. Final-year students, working professionals and career changers are all welcome.
Statistics are based on 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 does not constitute a guarantee of employment or a specific salary package. EMI terms are subject to applicable payment or financing conditions.
Uncodemy does not have a physical classroom centre in Kanyakumari. Kanyakumari learners join live online batches, which cover the identical syllabus, trainers and projects. The nearest classroom centres are our Delhi centre in Shakarpur and our Noida centre in Sector 1. Kanyakumari is roughly 90 km from Thiruvananthapuram, about a 2-hour drive, and about 700 km from Chennai — learners who want classroom sessions typically travel to Delhi NCR, though for most Kanyakumari learners the live online format is the practical choice.
Kanyakumari learners join Uncodemy live online batches, which cover the same syllabus, trainers and projects as classroom batches. The nearest classroom centres are our Delhi centre in Shakarpur and our Noida centre in Sector 1. Kanyakumari is roughly 90 km from Thiruvananthapuram, about a 2-hour drive, and about 700 km from Chennai — learners who want classroom sessions typically travel to Delhi NCR, though for most Kanyakumari learners the live online format is the practical choice. Live online batches run on IST timings and include recorded sessions for revision.
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