#1 India's Top IT Training Institute

×

About Uncodemy

Know more about who we are and what we stand for.

About Us

About Us

Discover our mission to equip individuals with essential IT skills and industry expertise.

Read More →
UnCodeMy Gallery

UnCodeMy Gallery

Explore highlights from our IT training sessions and success stories.

Read More →
×

Free Resources

Learn, practice and plan your career — bilkul free.

Tutorials

Tutorials

Step-by-step written tutorials to learn any technology at your own pace.

Read More →
Free Counselling

Free Counselling

Book a free video counselling session and pick the right course for you.

Read More →
Online Compiler

Online Compiler

Write, run and test your code online — no setup required.

Read More →
🔥 Most Popular in Thane

Data Science Training Course in Thane With Gen AI by Uncodemy

Thane learners can join Uncodemy's Data Science with Generative AI program, an 8–9 month instructor-led course covering Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. The program is taught live online for Thane learners, with classroom access at the Delhi and Noida centres for learners travelling to Delhi NCR. It also includes real projects, recorded lessons and career-support services. The current course fee is ₹21,500 + GST, and the total fee is ₹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
Fill Your Details
🔒 Your information is safe and secure.

Expert Trainers

Learn with professionals who have 8+ years of experience

Live Projects

Gain practice through live projects and case studies

Lifetime Access

Enjoy lifelong access to recordings and course materials

Dedicated Career & Placement Assistance

Resume preparation, mock interviews and career assistance

Certified Course

Receive an Uncodemy completion certificate

Flexible Batches

Weekday and weekend online or classroom options

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in 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 comprehensive 8–9 month instructor-led training program covering 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 Thane — 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 for Thane (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

Completing Uncodemy's Data Science training gives learners practical experience with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. After finishing their training and career preparation, eligible learners may seek roles such as Data Scientist, Data Analyst or Machine Learning Engineer. Placement records for Thane learners are updated regularly — view verified outcomes at uncodemy.com/placement.

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 Kashyap
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 B. Shembade
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
Priyanka Kumari
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
Shruti Saxena
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 combines statistical thinking, programming and subject expertise to generate insights and predictions from data. The process includes collecting and preparing information, building and testing models, and communicating the results. Organisations use it to study customer behaviour, predict demand, spot fraud, personalise recommendations and automate decisions that were once handled manually.

What does a data scientist do? A data scientist collects data from databases and business systems, cleans and investigates it, develops and assesses machine learning models, and turns the results into recommendations for the business. Typical work includes writing Python and SQL, training and refining models, reviewing measures with stakeholders, and deploying or monitoring models in production.

Data Analytics vs Data Science vs Business Analytics

Data analytics looks back at what occurred and the reasons behind it. Data science estimates what may happen next. Business analytics uses analysis to improve processes and guide 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

The Data Science course for Thane learners is delivered over 8–9 months, with 90+ live sessions and 150+ hours of learning. Its eleven modules build progressively through Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, including practical use of AI tools in everyday data work. Every module contains exercises using real datasets, and the course finishes with guided projects and a capstone project for your portfolio. Thane learners attend live online sessions, with classroom access at our Delhi and Noida centres if they travel to Delhi NCR.

Who should join this course:

  • 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.
  • MIS and reporting executives who want to move up from Excel into Python, SQL, ML and BI tools.
  • Thane-based learners who prefer live online training or can travel to Delhi/Noida for classroom training.

Eligibility: Graduates from every discipline may apply. Programming experience is not required because Python and SQL are introduced from the basics. Basic mathematical knowledge is helpful but not essential, as the statistics module establishes the foundation gradually. Learners should have an 8GB RAM laptop and a reliable internet connection for practical sessions.

Upcoming Data Science Course Batches in Thane

Select a batch schedule that fits your routine. Book a free demo class or join an upcoming weekday or weekend live batch, planned with flexible timings and practical instruction for students and working professionals. Batch dates, timings and seat availability are updated regularly. Contact Uncodemy for the latest Thane/online batch schedule. All timings are in IST.

Weekdays

Date Time Trainer Seats Left
22Sept 07:30 PM – 08:30 PM Mr. Upendra Kumar Tiwari 02Seat
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

Weekends

Date Time Trainer Seats Left
27Sept 03:00 PM – 05:00 PM Mr. Irshad Khan 02Seats

Seats are limited and updated daily. All timings are in IST. Dates and times are indicative placeholders — confirm current batch availability with Uncodemy before enrolling.

Curriculums for Data Science Training Courses in Thane

Data Science Course Syllabus in Thane

The syllabus includes eleven modules and 150+ hours of learning, arranged around the way data scientists work: obtain data, clean it, analyse it, build models, deploy them and present the results. Each module ends with a graded practical assignment on a real dataset, while the final module combines the learning 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 Thane

After completing the eleven modules, assignments and capstone project, you receive the Uncodemy Data Science Program Certificate. It records the program name, duration, tools taught and completion date, together with a verification reference. The certificate is issued once the required coursework and assessment are finished, documenting successful completion of the program.

The certificate is supplied with the practical work completed during training. Learners apply Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI through curriculum assignments and projects. The capstone project offers a final way to apply the concepts learned.

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.

Uncodemy's Data Science course in Thane includes a verified Uncodemy Data Science Program Certificate that can be checked online through the official Uncodemy Certificate Portal.

Uncodemy Certificate Verification Online Certificate Verification & Download certificate.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

Uncodemy distinguishes between two responsibilities. Trainers conduct the live sessions, while domain reviewers are separate specialists who do not teach the batch but check that the curriculum remains technically accurate and current. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, so its quality is checked beyond the classroom delivery.

Uncodemy publishes the names, fields and backgrounds of its trainers and domain reviewers, allowing learners to review their experience before enrolling.

Enroll in Our Data Science Training in Thane Today!

Join Uncodemy's Data Science Training for Thane learners and develop practical Data Science and Gen AI skills through live online teaching, real projects and focused career support. Book a demo or trial class to see the teaching approach before enrolling.

Data Scientist Jobs and Career Scope in Thane+

Thane is a major education and business centre with activity across manufacturing, education, healthcare, retail, financial services, logistics and business services. Data Science skills can be applied in these sectors for demand forecasting, quality analysis, customer insight, operational reporting and process automation. Learners may pursue local opportunities, remote roles with companies in Delhi NCR, Noida, Bengaluru, Hyderabad and Pune, or on-site work in nearby NCR. Employers increasingly seek practical Python, SQL and at least one ML project, and this program is designed to help build that portfolio. Thane learners usually join live online batches with the same syllabus, trainers and projects as classroom training.

Job Roles After This Course+

This course supports roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. These roles share core abilities such as Python, SQL, statistics and visualisation, but differ in the depth of modelling and AI work required.
RoleCore Tools
Data ScientistPython, SQL, Machine Learning
ML EngineerPython, ML, MLOps
Data AnalystSQL, Python, Power BI/Tableau
Business Intelligence AnalystSQL, Power BI, Tableau
Data EngineerSQL, Python, Data Engineering tools
AI/ML Research AssociatePython, ML, Deep Learning
Many graduates begin as Data Analysts or Junior Data Scientists and move into specialised roles as their experience grows. Completing the course does not guarantee a particular job title, since outcomes depend on skills, experience, interview performance and hiring conditions.

Data Scientist Salary in Thane — Experience-wise+

The salary table presents an Indicative / Noida-Delhi NCR realistic expectation. It is not verified salary data specific to Thane. Actual compensation varies according to role, skills, experience, employer, interview performance and market conditions.
LevelSalary 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. Salary ranges are indicative and vary by role, skills, experience, location and employer. Uncodemy does not guarantee any specific salary or employment outcome.

Top Hiring Sectors for Data Scientists in Thane+

Thane's economy creates opportunities for data skills across multiple sectors. Employers in these areas commonly look for practical Python and SQL knowledge and at least one ML project.
  • Manufacturing — quality analytics, production forecasting and supply-chain reporting in the lock, hardware and brassware industries.
  • Education — student performance analytics, enrolment forecasting and operational reporting for schools, colleges and coaching institutes.
  • Healthcare — clinical data analysis, patient-flow reporting and hospital operations analytics.
  • Retail and e-commerce — sales analytics, inventory forecasting and customer segmentation for local and regional businesses.
  • Financial services, logistics and business services — credit analytics, risk reporting, route optimisation and MIS automation.
Uncodemy does not claim verified Thane-specific employer partnerships or hiring figures. Learners should confirm current opportunities directly with employers.

How to Become a Data Scientist — Step by Step+

Becoming a data scientist means developing skills progressively rather than relying on one course alone. Skipping the foundations often creates gaps that appear later in interviews or on the job.
  • Learn Python — data types, loops, functions, Pandas and NumPy, since Python is the working language of almost every data science role.
  • Learn Statistics — descriptive statistics, probability, distributions and hypothesis testing, so your conclusions hold up when questioned.
  • Learn SQL — joins, aggregations, subqueries and window functions, because almost every role starts with pulling and shaping data from a database.
  • Learn Machine Learning — regression, classification, clustering and model evaluation, using Scikit-learn on real datasets.
  • Learn Deep Learning — neural networks, CNNs and RNNs, using TensorFlow or Keras, to handle image, text and sequence data.
  • Build Portfolio Projects — three to five projects, each with a business question and a model or recommendation, ideally drawn from a sector you want to work in.
  • Prepare for Interviews — 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 steady study to become interview-ready, assuming a few focused hours on most days instead of occasional intensive sessions.

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

Thane and the wider Uttar Pradesh region offer several data science training options, with differences in depth, pricing and delivery quality. The comparison below helps you decide which one suits your needs.
FactorUncodemy
Duration8–9 Months
Learning Hours150+ Hours
Live Sessions90+
Tools15+
Gen AI ModuleYes
Projects5 Guided + 1 Capstone
Career SupportDedicated Career & Placement Assistance
Uncodemy is not necessarily the cheapest option. Learners should compare curriculum coverage, live instruction, projects, tools, trainer experience, career support, fees and learning format before choosing a course.

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

For Thane learners, live online is generally the most convenient format. Offline classroom training is available at the Delhi and Noida centres, while Thane learners usually attend online.
FormatBest forConsiderations
Live OnlineThane learners, working professionals, studentsNo commute, flexible schedule, live interaction, recorded sessions, same syllabus and projects
Offline (Delhi/Noida)Learners who can travel to NCRIn-person doubt clearing, classroom environment, but requires commute or relocation
HybridLearners splitting time between Thane and NCROccasional classroom sessions plus live online
Every format includes live instructor interaction, recordings for revision, doubt-clearing assistance and the same career support. Where permitted, changing formats midway does not mean losing any part of the program.

Is this course right for you?+

If you want...Course format / suitability
Learn Data Science from basicsSuitable
Build Python + ML skillsSuitable
Learn Gen AISuitable
Work on guided projectsSuitable
Attend live classes from ThaneLive Online
Attend physical classroom trainingDelhi/Noida centres
Switch career into Data ScienceRequires consistent practice
Guaranteed employmentNot guaranteed

Frequently Asked Questions

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

The program lasts 8–9 months and provides 150+ hours of learning through more than 90 live sessions. Thane learners can choose live online weekday or weekend batches.

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

Yes. Previous programming experience is not necessary. Python and SQL start with the fundamentals, while the first month covers Python basics and Excel without assuming a traditional coding background.

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 and MLflow.

4. Does the course include a Gen AI module?

Yes. Module 9 is a dedicated 10-hour unit on Generative AI, LLMs and prompt engineering, including AI-assisted coding, model assessment, RAG fundamentals and checking AI output.

5. How many projects will I complete?

You complete five guided projects covering retail, banking, HR, e-commerce and healthcare, as well as one capstone project of your choice. The completed work can be presented as an interview portfolio.

6. Are the classes live or pre-recorded?

All 90+ sessions are taught live by instructors, and recordings are available afterward for revision. The online and classroom formats follow the same syllabus.

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

The program fee is ₹21,500 plus 18% GST. Total fee is ₹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 — EMI includes applicable interest/processing charges; final plan confirmed by a counsellor.

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. A free live online demo lets you observe the teaching style, meet the trainer and review the curriculum before making a decision. Contact us to book a demo.

10. Do you provide placement assistance?

Dedicated career and placement assistance covers resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through a network of 850+ companies. Employment is not guaranteed because employers make the final hiring decisions.

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 Noida-Delhi NCR are indicatively ₹4–8 LPA.

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

Indicative ranges for Noida-Delhi NCR are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. 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?

Graduates from any discipline may enrol, and no previous coding or analytics experience is required. Final-year students, working professionals and career changers are 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 Thane?

There is no physical centre in Thane. Thane learners can join live online batches with the same syllabus, trainers and projects as classroom training. Delhi and Noida are the nearest classroom centres for learners travelling to Delhi NCR, although most Thane learners choose live online.

Why Trust This Page? Discover Why Students Choose Uncodemy

How we maintain this page

Application Form
Nearest Classroom Training Centres

Nearest Classroom Training Centres

Thane learners can attend live online batches that use the same syllabus, trainers and projects as classroom training. Those who prefer in-person learning or are moving to Delhi NCR can attend sessions at the Delhi or Noida centres. For most Thane-based learners, online classes avoid travel while retaining the same curriculum and trainers.

Open now
Noida Centre
B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
Delhi Centre
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Free demo class Walk-ins welcome
📍 Nearest classroom centres: Noida & Delhi — Open Noida in Google Maps | Open Delhi in Google Maps