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🔥 Most Popular in Navi Mumbai

Data Science Training Course in Navi Mumbai With Gen AI by Uncodemy

Uncodemy's Data Science with Generative AI course for Navi Mumbai participants is an 8–9 month instructor-led program spanning Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Sessions are delivered live online for Navi Mumbai learners, with classroom access at our Delhi and Noida centres for those travelling to Delhi NCR — plus hands-on projects, session recordings and career-support services. The current course fee is ₹21,500 + GST, and the total fee comes to ₹25,370.

⚡ LIMITED TIME OFFER

Special Offer: Data Science with AI

Now Pay Only
₹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 8+ years experienced professionals

Live Projects

Work on real-time projects & case studies

Lifetime Access

Get lifetime access to recorded sessions & materials

Dedicated Career & Placement Assistance

Resume Building, Mock Interviews & 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 included AI— Training & Placement Program Hands-on learning focused on practical Data Science skills and interview preparation.
A structured 8–9 month instructor-led training program spanning Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI, Tableau and Gen AI with practical 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 Navi Mumbai — 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:
15 September 2026

List of Placed Students Trained by Uncodemy

Learners who finish Uncodemy's Data Science program build working command of Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Once training and career preparation are complete, they become eligible to apply for roles such as 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 pull insight and predictions out of raw data. The practice covers data collection and cleaning, model building, evaluating results and communicating what those results mean. Businesses use it to decode customer behaviour, forecast demand, catch fraud, power personalised recommendations and automate decisions that once required human judgement.

What does a data scientist do? A data scientist pulls data from databases and business systems, cleans and explores it, trains and evaluates machine learning models, and turns findings into recommendations the business can act on. A normal week involves writing Python and SQL, tuning and reviewing models with stakeholders, and either deploying or monitoring a model already in production.

Data Analytics vs Data Science vs Business Analytics

Data analytics answers what happened and why. Data science predicts what will happen next. Business analytics focuses on what the business should do about it.

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

The Data Science course for Navi Mumbai learners spreads across 8–9 months, 90+ live sessions and 150+ hours of structured learning, split into 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, closing with a dedicated module on how AI tools fit into day-to-day data science. Every module carries practical exercises on real datasets, and the program ends with capstone work that doubles as your portfolio. Navi Mumbai participants join live online sessions — a format that works well for working professionals across Airoli, Ghansoli, Mahape, Vashi, Belapur and the wider MMR, and for anyone preparing for analytics roles across the Mumbai Metropolitan Region — with classroom access at our Delhi and Noida centres if you travel to Delhi NCR.

Who should join this course:

  • Navi Mumbai and MMR learners looking for live online classes paired 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 point into data science or analytics.
  • Working professionals in operations, sales, finance, HR or marketing already handling data and looking to formalise the skill.
  • Career changers shifting from non-technical roles into data, including those working in IT parks across Airoli, Ghansoli and Mahape.
  • MIS and reporting executives ready to move beyond 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 introduced from the first line of code. Familiarity with basic mathematics helps but is not mandatory; the statistics module builds this from the ground up. An 8GB RAM laptop and a stable internet connection are recommended for the practical sessions.

Upcoming Data Science Course Batches in Navi Mumbai

Pick a batch timing that suits your routine. Book a free demo class first-hand, or join our upcoming weekday and weekend live batches — designed for working professionals and students alike, with flexible timings and hands-on training.

Weekdays

Date Time Trainer Seats Left
28Sept 02:00 PM – 03:00 PM Mr. Irshad Khan 01Seats
02Oct 10:30 AM – 11:30 AM Ms. Rachna Verma 02Seat
06Oct 12:00 PM – 01:00 PM Mr. syed Najeeb 01Seats
19Oct 07:30 PM – 08:30 PM Mr. Upendra Kumar tiwari 02Seat

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 Navi Mumbai

Data Science Course Syllabus in Navi Mumbai

The syllabus is spread over eleven modules and 150+ hours of learning, arranged in the same sequence a working data scientist follows — acquire the data, clean it, analyse it, build models, deploy them, and present results. Each module closes with a graded practical assignment on a real dataset, and the final module pulls everything together 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 Navi Mumbai

After completing all eleven modules, the graded 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. Certification is issued once the required coursework and assessment are finished, giving a formal record of successful completion of the Uncodemy Data Science program.

The certificate is issued alongside the practical work completed during training. Learners finish assignments and projects using the Data Science tools built into the curriculum — Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. The capstone project is an opportunity to apply everything learned during the program to a single end-to-end deliverable.

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 Navi Mumbai 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 interviewer will take seriously.

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 professionals who teach this course

Live online sessions for Navi Mumbai learners are conducted by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, with 15+ years of experience across Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. He also reviewed and approved the curriculum shown on this page.

Uncodemy keeps two roles separate, which is something many institutes combine. Trainers lead the live sessions, while domain reviewers — separate specialists who do not teach the batch — verify that the curriculum is technically accurate and current. For this program, the technical content is reviewed by Upendra Kumar Tiwari, which means the person teaching the course is not the only one validating its quality.

Every trainer and domain reviewer associated with Uncodemy is published by name, along with their domain and background — you can review their profiles before enrolling rather than after.

Enroll in Our Data Science Training in Navi Mumbai Today!

Enroll in Uncodemy's Data Science Training for Navi Mumbai learners today! Build practical Data Science skills through instructor-led training, real projects, graded assignments and structured career preparation. Begin your Data Science journey with instructor-led sessions, hands-on projects and a clear roadmap to your first data role.

Data Scientist Jobs and Career Scope in Navi Mumbai+

Navi Mumbai is one of India's most thoughtfully planned cities and a key node in the Mumbai Metropolitan Region (MMR) — with Airoli (Mindspace IT Park), Ghansoli (Reliance Corporate Park), Mahape (Millennium Business Park), Vashi, Belapur (CBD Belapur), Kharghar and Panvel hosting a dense cluster of IT services, GCCs (Global Capability Centres), BFSI back-offices, pharma, shipping and logistics operations. The city hosts the Jawaharlal Nehru Port (JNPT) — India's largest container port — which anchors a large trade, freight and supply-chain analytics ecosystem. As part of the MMR, Navi Mumbai offers one of western India's strongest data science job markets, with demand spread across IT/ITES, BFSI, pharma, media, e-commerce, logistics and consulting. Employers range from large IT services firms and global capability centres to multinational banks, pharma companies and a growing set of startups. Navi Mumbai professionals can work locally, commute to Mumbai (BKC, Lower Parel, Powai, Andheri), or work remotely for companies across India and abroad — the skill set is identical. Employers consistently expect working Python, SQL and at least one ML project, and 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 prepares you for. Each of these roles shares a strong 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. Because Navi Mumbai sits inside the MMR, learners here have one of the widest choices of entry-level analytics roles in India — including GCCs, BFSI back-offices, pharma analytics and logistics/shipping analytics around JNPT — so there is a strong fit for a range of career interests.

Data Scientist Salary in Navi Mumbai — Experience-wise+

Salaries for Navi Mumbai-based data roles typically track close to Mumbai figures because the city is part of the Mumbai Metropolitan Region and its IT, BFSI and pharma employers recruit from the same talent pool as Mumbai, Thane and Pune. Product companies, GCCs, consulting firms and BFSI back-offices tend to sit toward the higher end of each band, while smaller firms may offer broader ownership early on in exchange for a slightly lower starting number. Candidates who can only build dashboards usually land at the lower end of a band; those who can also build and deploy ML models, write efficient SQL and present a clear recommendation tend to move to the top of the same band, and advance 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. Navi Mumbai salaries typically track close to Mumbai and Thane rates because the region shares the same talent pool and employers. 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 Navi Mumbai+

Uncodemy works with 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. In Navi Mumbai and the wider MMR, data science demand is strongest in:
  • IT services, GCCs and product companies— analytics, data engineering and ML roles across Airoli (Mindspace), Ghansoli, Mahape (Millennium Business Park), Vashi and Belapur CBD
  • BFSI and fintech— banks, NBFCs, insurance and payments firms with back-offices and analytics teams across Navi Mumbai and the MMR, hiring for credit scoring, fraud detection, risk and customer analytics
  • Pharma, healthcare and life sciences— clinical data analysis, supply-chain and quality analytics with pharma and healthcare companies operating across Navi Mumbai and the wider MMR
  • Shipping, logistics and trade analytics— JNPT (Jawaharlal Nehru Port) and the surrounding freight, customs and supply-chain ecosystem generate reporting, forecasting and optimisation roles
  • Media, e-commerce and consulting— a growing set of media, D2C, quick-commerce and consulting firms in the MMR hire data analysts, BI developers and data scientists for growth, pricing and operations analytics
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 is a step-by-step skill build, not 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 Navi Mumbai+

Navi Mumbai and the wider MMR have a large number of data science training options, and they vary widely in depth, price and delivery quality. 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 online-only 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 Navi Mumbai learners best — you join live sessions from home after work, fit classes around a job, and don't need to travel. This is what almost every Navi Mumbai learner chooses, and it works well for working professionals in Airoli, Ghansoli, Mahape, Vashi, Belapur, Kharghar, Panvel and the wider MMR. 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, but this is not practical for most Navi Mumbai-based learners. Hybrid (occasional in-person sessions at Delhi/Noida plus live online) suits learners who split their time between MMR 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
Analytics role in MMR (IT, BFSI, pharma, logistics) This program
Upskilling while working full-time in Navi Mumbai This program (live online batches)
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 Navi Mumbai?▼

The program spans 8–9 months, delivering 150+ hours of learning through 90+ live sessions. Both weekday and weekend batches run in live online mode.

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

Yes. There is no prior programming requirement. The curriculum opens with Python fundamentals and Excel, then progressively builds into SQL, statistics and machine learning — no traditional coding background needed.

3. What tools are covered in this course?▼

15+ tools including Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow/Keras | Power BI | Tableau | Matplotlib | Seaborn | Jupyter | Google Colab | ChatGPT | Copilot | MLflow

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

Yes. Module 9 is a dedicated 10-hour module on Generative AI, LLMs and prompt engineering, covering AI-assisted coding, model evaluation, RAG basics and verifying AI output.

5. How many projects will I complete?▼

You complete five guided projects spanning retail, banking, HR, e-commerce and healthcare domains, plus one capstone project of your own choosing. All of them become portfolio pieces you can walk an interviewer through.

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

All 90+ sessions are conducted live and instructor-led, with recordings made available afterwards for revision. Live online and classroom formats cover the identical syllabus.

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

The program fee is ₹21,500 plus 18% GST, making the total ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,622/month for 6 months.

8. Are EMI options available?▼

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.

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

Yes. You can attend a free live online demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.

10. Do you provide placement assistance?▼

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.

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

Yes, entry-level roles are open to freshers. Employers typically expect working Python, SQL, one ML project and a portfolio — this program is built to deliver all three. Entry-level Data Scientist salaries in Navi Mumbai and the wider Mumbai Metropolitan Region are indicatively ₹4–8 LPA.

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

Indicative ranges are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Navi Mumbai is part of the Mumbai Metropolitan Region and salaries here typically track close to Mumbai rates. Actual salaries vary by sector, company, skills and experience. Uncodemy does not guarantee any specific salary outcome.

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

Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates begin as a Data Analyst or Junior Data Scientist.

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

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.

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

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.

16. Is classroom training available in Navi Mumbai?▼

There is no physical Uncodemy centre in Navi Mumbai. Navi Mumbai learners attend our live online batches, which follow the identical syllabus, trainers and projects as classroom. The nearest physical classroom centres are in Delhi and Noida, available if you travel to Delhi NCR — most Navi Mumbai learners choose live online.

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Nearest Classroom Training Centres

Nearest Classroom Training Centres

Navi Mumbai learners join our live online batches, which cover the identical syllabus, trainers and projects as classroom. If you prefer in-person learning or are relocating to Delhi NCR, the nearest classroom centres are our Delhi and Noida centres — you can attend classroom sessions there. For most Navi Mumbai-based learners, live online is the practical choice — it removes travel and lets you learn from the same trainers and curriculum.

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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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