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🔥 Most Popular in Nagercoil

Data Science Training Course in Nagercoil With Gen AI by Uncodemy

Uncodemy provides an 8–9 month, instructor-led Data Science with Generative AI program tailored for learners in Nagercoil. The curriculum spans Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, and Gen AI. Classes are delivered live online, and those who relocate to or pass through Delhi NCR can also attend classroom sessions at our Delhi and Noida centres. The program includes real projects, session recordings, and career support. Fee: ₹21,500 + GST (₹25,370 total).

⚡ LIMITED TIME OFFER

Special Offer: Data Science with AI

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₹21,500/-
+GST
2-Class Trial
Attend 2 Classes
No Hidden Charges
100% Transparent
EMI AVAILABLE
Starts at ₹4,622/M
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Expert Trainers

Learn from industry professionals with 8+ years of experience

Live Projects

Work on real-time projects and case studies

Lifetime Access

Get lifetime access to recorded sessions and materials

Dedicated Career & Placement Assistance

Resume building, mock interviews, and job support

Certified Course

Certificate of Completion from Uncodemy

Flexible Batches

Weekday & Weekend Online & Offline

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in Our Hiring Network
54,000+
Learners Trained
200+
Corporate Associations
100%
Placement Support
Online & Offline Classes
Weekend & Weekday Batches
100% Practical Training
Affordable Fees
EMI Options Available
Dedicated Support

Program Details

Data Science course with AI— Training & Placement Program Practical learning focused on real-world Data Science skills and interview preparation.
A comprehensive 8–9 month instructor-led training program covering Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI, Tableau and Gen AI with hands-on projects, mentoring and career support.
📚 Learning:
150+ Hours of Learning
⏱️ Program Duration:
8–9 Months
🎓 Live Training:
90+ Live Sessions
🛠️ Technology Coverage:
15+ Tools & Technologies
💼 Practical Learning:
Hands-on Projects & Case Studies
💰 Program Fee:
₹21,500 + 18% GST
💰 Total Fee:
₹25,370
💳 EMI:
Starting From ₹4,622/Month*
🚀 Career Support:
Dedicated Career & Placement Assistance
🏢 Hiring Network:
850+ Companies in Our Hiring Network
🎯 Career Support Includes:
Resume Building & LinkedIn Optimization, Mock Interviews & Interview Preparation, Career Guidance & Job Opportunity Assistance

Data Science Course in Nagercoil — Quick Facts

🎓 Course:
Data Science with Gen AI
🏢 Provider:
Uncodemy Edutech Pvt. Ltd.
📚 Total Learning:
150+ Hours
📖 Curriculum:
11 Modules
💼 Projects:
5 Guided + 1 Capstone
🛠️ Tools:
Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI/Tableau, Gen AI
🌐 Modes:
Live Online (Offline available only at Delhi & Noida centres)
✅ Prior Coding:
Not Required
📜 Certificate:
Uncodemy Program Certificate
🗓️ Last Reviewed:
27 September 2026

List of Placed Students Trained by Uncodemy

After completing Uncodemy's Data Science program, learners gain practical expertise in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, and Gen AI. With training and career preparation complete, eligible learners can then apply for roles including Data Scientist, Data Analyst or Machine Learning Engineer.

ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

Data Science Batch
Batch: DS/09/0823/S WD 7PM
Read placement record
ashish-butola
4.8 LPA
India

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Data Science Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Rajat
4.0 LPA
Delhi

Rajat Kashyap

Data Analyst

Placed at:Hexalog

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Sagar
3.25 LPA
Pune

Sagar B. Shembade

Data Analyst

Placed at:SmartStudy

Data Science Batch
Batch: DS/WD/S 08:00 PM 08 JAN-UC
Read placement record
ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

Data Science Batch
Batch: DS/09/0823/S WD 7PM
Read placement record
ashish-butola
4.8 LPA
India

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Data Science Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Student Image
3.0 LPA
Noida

Priyanka Kumari

Data Analyst

Placed at:CloudFirst Digital

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Student Image
3.0 LPA
Delhi

Shruti Saxena

Data Analyst

Placed at:Jepius Healthcare

Data Science Batch
Batch: DS/09/UP WD 12:30 PM
Read placement record

What is Data Science?

Data science blends statistics, programming, and domain knowledge to derive insights and predictions from data. It encompasses everything from data collection and cleaning to model building, evaluation, and communicating results. Organizations use it to understand customer behavior, forecast demand, detect fraud, personalize recommendations, and automate decisions that were previously manual.

In practice, a data scientist gathers data from databases and business systems, cleans and explores it, then builds and evaluates machine learning models before translating findings into business recommendations. A typical week involves writing Python and SQL, tuning models, discussing metrics with stakeholders, and deploying or monitoring models in production.

Data Analytics vs Data Science vs Business Analytics

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.

Course Overview

This Data Science course, available to Nagercoil learners, spans 8–9 months with 90+ live sessions and over 150 hours of learning. It comprises eleven modules that build 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 module on using AI tools in everyday data science tasks. Each module includes practical exercises on real datasets, and the program concludes with capstone projects for your portfolio. Classes are delivered live online, with classroom access at Delhi and Noida for those relocating to Delhi NCR.

Who should join this course:

  • Nagercoil and Kanyakumari learners who seek live online classes with a structured career path into analytics.
  • Fresh graduates from any stream — B.Com, BBA, B.Sc, B.Tech, BA, BCA — who want an entry into data science or analytics.
  • Working professionals in operations, sales, finance, HR or marketing who already work with data and want to formalise the skill.
  • Career changers moving from non-technical roles into a data role, including those planning a move to Chennai, Bengaluru or a metro.
  • MIS and reporting executives who want to move up from Excel into Python, SQL, ML and BI tools.

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.

Upcoming Data Science Course Batches in Nagercoil

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.

Weekdays

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

Weekends

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.

Curriculums for Data Science Training Courses In Nagercoil

Data Science Course Syllabus in Nagercoil

The syllabus is structured into eleven modules covering 150+ hours, following the order data scientists actually work in — acquire the data, clean it, analyse it, build models, deploy them, and communicate results. Each module concludes with a graded practical assignment on a real dataset, and the final module consolidates everything into portfolio projects.

Module 1: Python for Data Science — 20 Hours

  • Python fundamentals: variables, data types, loops, functions
  • Lists, tuples, dictionaries, sets, file operations
  • NumPy: arrays, vectorised operations, broadcasting
  • Pandas: Series, DataFrames, indexing, filtering, merging, grouping
  • Handling missing values and duplicates
  • Matplotlib, Seaborn and Jupyter Notebook

Module 2: SQL & Database Management — 15 Hours

  • Relational database concepts, ER diagrams, normalisation
  • SELECT, WHERE, ORDER BY, GROUP BY, HAVING
  • All join types: inner, left, right, full outer, self, cross
  • Subqueries and Common Table Expressions
  • Window functions: ROW_NUMBER, RANK, LEAD, LAG
  • Connecting SQL databases to Python

Module 3: Statistics & Probability for Data Science — 15 Hours

  • Descriptive statistics: mean, median, variance, standard deviation
  • Probability fundamentals and data distributions
  • Sampling methods and the Central Limit Theorem
  • Hypothesis testing: p-values, confidence intervals, t-tests, chi-square, ANOVA
  • Correlation and regression basics
  • A/B testing in a business context

Module 4: Data Cleaning & Exploratory Data Analysis — 12 Hours

  • Data quality assessment and profiling
  • Handling missing values: deletion, imputation, flagging
  • Outlier detection and treatment
  • Feature creation and binning
  • Univariate, bivariate and multivariate analysis
  • Correlation heatmaps and structuring an EDA report

Module 5: Machine Learning (Supervised & Unsupervised) — 25 Hours

  • Linear and logistic regression
  • Decision trees, random forests and ensemble methods
  • Support Vector Machines and K-Nearest Neighbours
  • K-Means clustering, hierarchical clustering and PCA
  • Model evaluation: accuracy, precision, recall, F1, ROC-AUC
  • Cross-validation, hyperparameter tuning and pipelines

Module 6: Deep Learning & Neural Networks — 15 Hours

  • Perceptrons, activation functions and backpropagation
  • TensorFlow and Keras basics
  • Feed-forward neural networks and regularisation
  • Convolutional Neural Networks (CNN) for images
  • Recurrent Neural Networks (RNN) and LSTMs for sequences
  • Transfer learning and model fine-tuning

Module 7: Natural Language Processing (NLP) — 10 Hours

  • Text preprocessing: tokenisation, stemming, lemmatisation
  • Bag of Words, TF-IDF and word embeddings
  • Sentiment analysis and text classification
  • Named Entity Recognition (NER)
  • Topic modelling with LDA
  • Introduction to transformers and BERT

Module 8: Power BI & Tableau for Data Science — 15 Hours

  • Power BI: connecting to Excel, SQL, CSV and web sources
  • Data modelling, relationships and DAX measures
  • Dashboard design, filters, slicers and drill-through
  • Tableau: dimensions, measures, calculated fields
  • Filters, groups, sets, parameters and dashboards
  • Publishing dashboards for business stakeholder review

Module 9: Generative AI, LLMs & Prompt Engineering — 10 Hours

  • Prompt engineering for data tasks
  • Generating and debugging SQL and Python with AI assistance
  • Copilot in Excel and Power BI
  • AI-assisted insight summaries and report drafting
  • Verifying AI output: hallucinations, wrong aggregations, false confidence
  • Data privacy and what should never be pasted into a public AI tool

Module 10: MLOps & Model Deployment — 8 Hours

  • Model versioning and experiment tracking with MLflow
  • Packaging models with Flask/FastAPI
  • Deploying models to cloud (AWS/GCP/Azure basics)
  • Monitoring model performance and drift
  • CI/CD basics for ML pipelines
  • Retraining strategies and data versioning

Module 11: Capstone Projects & Career Preparation — 10+ Hours

  • End-to-end capstone project on a real business dataset
  • Building a GitHub portfolio and dashboard showcase
  • Data science resume writing and LinkedIn optimisation
  • SQL and case-study interview practice
  • Mock interviews with feedback
# 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

Contacted by

UT

Upendra Kumar Tiwari

Senior Data Science Trainer

15+ Years Experience

Specialization:Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud, NLP

Get Your Data Science Certification In Nagercoil

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.

Key Benefits of Our Data Science Certification:

  • Program Completion :Provides a record of successful completion of the Data Science program.
  • Online Verification :The certificate includes a verification reference that can be checked online.
  • Practical Learning :The training includes assignments, projects and a capstone project using Data Science tools.

The Data Science course in Nagercoil 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
 IIBA Endorsed Education Provider certificate — Uncodemy
 Uncodemy Data Science Program Certificate
 Uncodemy MSME registration certificate

Tools and Technologies Covered

Apply Now

Introducing Uncodemy


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.

Instructors

The people who actually teach this course

Live online sessions for Nagercoil learners are conducted 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.

Enroll in Our Data Science Training in Nagercoil Today!

Uncodemy's Data Science course is now open to Nagercoil 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.

Data Scientist Jobs and Career Scope in Nagercoil+

Nagercoil is a city in the Kanyakumari district of Tamil Nadu, near the southern tip of India. The local economy is driven by rubber plantations, coconut farming, fishing, and a growing IT/ITES presence, along with retail and education. While dedicated data science roles are still emerging locally, there is increasing demand for analytics in agro-processing, fisheries, retail, and small-scale manufacturing. Many professionals in Nagercoil opt for remote roles with companies in Chennai, Bengaluru, or Hyderabad, or target the nearby tech hubs in Thiruvananthapuram and Coimbatore. Remote-first companies hire for the same Python/SQL/ML skill set regardless of location, making it a viable path for Nagercoil learners. Employers consistently look for working knowledge of Python, SQL, and at least one ML project — this program is designed to deliver that portfolio.

Job Roles After This Course+

Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate are the roles this course maps to. Each of these roles overlaps heavily in the underlying skill set — Python for data manipulation and modelling, SQL for pulling and shaping data, and a BI tool for building dashboards that stakeholders can self-serve from — but they differ in who you report to and what decisions your output feeds into.
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
Most graduates start as a Data Analyst or Junior Data Scientist and move into the others with two to four years of experience, as they build domain knowledge in a specific function such as marketing, operations or finance. For Nagercoil learners, Data Analyst and Business Intelligence roles are often the easiest to enter via remote work or through Chennai, Bengaluru, or Thiruvananthapuram's IT sectors, because these roles are more commonly offered in fully remote or hybrid setups than pure data science roles are.

Data Scientist Salary in Nagercoil — Experience-wise+

Salaries for Nagercoil-based data roles vary widely depending on whether you work locally, remotely, or after relocating to Chennai or Bengaluru. Local businesses in the region typically pay at the lower end of national ranges because the demand pool is smaller, though export-oriented agro and fisheries firms do hire analysts for pricing, costing and logistics at competitive local rates. Remote roles for companies in Chennai, Bengaluru, Hyderabad, or international clients often pay close to metro levels for the same skills. A candidate who can only build dashboards typically sits at the lower end of a band; one who can also build and deploy ML models, write efficient SQL and present a clear recommendation tends to move to the top of the same band, and progress out of it faster.
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
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: September 2026. For Nagercoil specifically, remote roles and roles in Chennai or Bengaluru typically pay better than strictly local roles. Salary ranges are indicative and may vary based on role, skills, experience, location, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.

Top Hiring Sectors for Data Scientists in Nagercoil+

Uncodemy collaborates with over 850 companies in our hiring network across India, spanning large enterprises, mid-size firms and fast-growing startups, which gives learners exposure to more than one kind of hiring process and interview style. For Nagercoil and the wider Kanyakumari region, the most realistic hiring clusters are:
  • Rubber, coconut and agro-processing— production analytics, quality control, export pricing and supply-chain analytics across the region's plantation economy
  • Fisheries and marine products— production, quality and logistics reporting across the coastal belt
  • Retail and small-scale manufacturing— costing, quality and inventory analytics across local units
  • Remote roles for IT/analytics firms— companies in Chennai, Bengaluru, Hyderabad and Pune hire remote-first analysts and data scientists, which is the most common path for Nagercoil learners
  • Nearby metro clusters (Chennai, Coimbatore, Thiruvananthapuram)— these cities have growing IT services, healthcare, edtech and BFSI back-office bases; learners open to commuting or relocating find a much wider market there
Each of these sectors tends to weight skills slightly differently, so as you get closer to placement, it helps to tailor your portfolio projects toward the one or two sectors you're most interested in.

How to Become a Data Scientist — Step by Step+

Becoming a data scientist requires building skills step-by-step, not just completing a single course, and skipping steps usually shows up later as gaps in interviews or on the job, especially when employers expect practical skills, problem-solving ability, and real-world experience.
  • Build Python depth— data types, loops, functions, Pandas and NumPy, since Python is the working language of almost every data science role.
  • Learn SQLto a working standard — joins, aggregations, subqueries and window functions, because almost every role starts with pulling and shaping data from a database.
  • Learn statistics— enough to run a hypothesis test and read a regression output, so your conclusions hold up when someone questions them.
  • Master machine learning— regression, classification, clustering and model evaluation, using Scikit-learn on real datasets.
  • Add deep learning— neural networks, CNNs and RNNs, using TensorFlow or Keras, to handle image, text and sequence data.
  • Build three to five portfolio projects, each with a business question and a model or recommendation, ideally drawn from a sector you want to work in.
  • Prepare and apply— Python and SQL practice, ML case-study rehearsal, a targeted resume and LinkedIn profile that highlights outcomes, not just tools.
Typical timeline:8–9 months of consistent study to reach interview-ready standard, assuming a few focused hours most days rather than occasional binge sessions.

How This Course Compares to Other Data Science Courses in Nagercoil+

Nagercoil and the wider Kanyakumari region have a limited number of local data science training options, and most of what is available is either short-term or entirely self-paced. Here is an honest comparison, so you can judge the fit yourself rather than relying on marketing claims alone.
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
The extra duration and tool coverage exist because most hiring managers today expect candidates who are comfortable moving between Python, SQL, ML and a BI tool depending on the task, rather than being strong in only one. Where we are not the cheapest option: shorter self-paced or recorded courses cost less. If your goal is a quick Excel and Power BI refresher rather than a full career transition, a shorter program may suit you better, and it's worth being honest with yourself about which of the two you actually need.

Online vs Offline vs Hybrid — Which Should You Choose?+

All three formats cover the identical syllabus, trainers and projects — the fee is the same, so the choice comes down to your own schedule and learning preference rather than content quality. Live Online is the format that suits Nagercoil learners best — you join live sessions from home, fit classes around a job or college, and don't need to travel. This is what almost every Nagercoil learner chooses, and it works well for anyone in the Kanyakumari region. Classroom at our Delhi and Noida centres suits learners who travel to Delhi NCR regularly or are relocating there — you get in-person doubt clearing and peer interaction. Hybrid (occasional in-person sessions at Delhi/Noida plus live online) suits learners who split their time between Nagercoil and Delhi NCR. All formats include live instructor interaction, recorded sessions for revision, doubt-clearing support, and the same career support, so switching formats midway (where allowed) does not mean losing any part of the program.

Is this course right for you?+

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

Frequently Asked Questions

1. What is the duration of the Data Science course in Nagercoil?▼

The program spans 8–9 months, comprising over 150 hours of training across 90+ live sessions. Both weekday and weekend batches are available.

2. Can I learn data science without a coding background?▼

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.

3. What tools are covered in this course?▼

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.

4. Does the course include a Gen AI module?▼

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.

5. How many projects will I complete?▼

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.

6. Are the classes live or pre-recorded?▼

All 90+ sessions are live and instructor-led. Recordings remain accessible for revision afterwards. Both live online and classroom formats follow the same syllabus.

7. What is the fee for the Data Science course in Nagercoil?▼

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.

8. Are EMI options available?▼

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.

9. Is there a demo class before I enrol?▼

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.

10. Do you provide placement assistance?▼

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.

11. Can a fresher get a data scientist job after this course?▼

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 Chennai and Bengaluru roles often landing at the higher end of that band.

12. What is the salary of a data scientist in Nagercoil?▼

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 Nagercoil tend to sit toward the lower part of these ranges, though remote positions with companies in Chennai, Bengaluru, Hyderabad, or Pune can come closer to metro-level pay. Uncodemy does not guarantee any specific salary outcome.

13. What job roles can I apply for after this course?▼

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.

14. Who is eligible for this Data Science course?▼

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.

15. Are the salary, placement and review figures on this page guaranteed?▼

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.

16. Is classroom training available in Nagercoil?▼

Currently, Nagercoil does not have a physical Uncodemy centre. Learners from Nagercoil 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 Nagercoil learners find live online more convenient.

Why Trust This Page? Discover Why Students Choose Uncodemy

How we maintain this page

  • Author: Mr. Ratan
  • Reviewed & Verified by: Mr. Irshad
  • Course curriculumverified by Mr. Irshad Khan.
  • Technical contentverified by Mr. Upendra Kumar Tiwari.
  • Feeverified by Admin Department.
  • Placement figuressourced from internal placement records.
  • Review countsverified against respective third-party platforms.
  • Last reviewed:
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Nearest Classroom Training Centres

Nearest Classroom Training Centres

Nagercoil 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 Nagercoil learners stick with live online through the full program and only visit a centre occasionally for a demo or a doubt-clearing session.

Open now
Delhi Centre (nearest — for travel)
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Noida Centre
B 14-15, Udhyog Marg, Block B, Sector 1, Near Noida Sector-15 Metro Station, Uttar Pradesh 201301
Free demo classWalk-ins welcomeWheelchair accessible
📍 Delhi (Head Office) — Open in Google Maps
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