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Data Science Course in Mumbai
Interactive Lessons with Labs & Projects

Live instructor-led classes

Project-based learning

Mock interview sessions

Dedicated job portal
Avail Early Bird Offer Now!
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Key Highlights

115+
Live Sessions

530+
Self-Paced Learning Resources

230+
Assignments & Projects

60+
Practice & Aptitude Tests

Live
Doubt Clarification
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Labs
For Hands-On Practice

Job Portal
with 100+Jobs

Flexible
EMI Options





























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Data Science Course Mumbai Overview
Join our live instructor-led Data Science Course in Mumbai and become a skilled Data Science professional! Our hands-on course equips learners with the most in-demand skills, making it one of the best data science courses in Mumbai. Benefit from our industry-vetted data science syllabus, practice labs, 10+ data science projects, and mock interviews. Additionally, learn workplace skills, soft skills, and interview skills with our dedicated Career Services Team.
With our unique pedagogy and close ties with the industry, you'll be fully prepared to break into the Data Science industry! Get in touch with a career counsellor to check your data science course eligibility.
Data Science Career Transitions

Shilpa
Ingole

Associate Consultant
Lecturer
Associate Consultant
"OdinSchool’s course content was exceptional and vetted by the industry - we had doubt clarification sessions every day. This level of personalized mentorship gave me a lot of confidence and extensive knowledge in the industry."
Career Transition

Aniket
Mohite

Analyst
Network Engineer
Analyst
"I was accustomed to navigating through complex systems and solving intricate problems, but diving into the realm of data presented an entirely new set of challenges and opportunities. But my journey was very exciting, thanks to OdinSchool."
Career Transition

Yayati
Jadhhav

Senior IT Manager - Business Analyst
Senior Business Analyst
Senior IT Manager - Business Analyst
"I am incredibly grateful for the support and guidance I received from mentors and fellow classmates. Their insights and encouragement played a pivotal role in my success."
Career Upgrade

Nikhil
Kumar

Operations Executive
Auto Claim Surveyor
Operations Executive
"I am excited to embark on this new chapter in my career and apply my expertise to drive meaningful insights and innovation! Thanks for the guidance and motivation."
Career Upgrade

Vijaya Rani
Rachapally

Data Engineer
Assistant Manager
Data Engineer
"I am from a non-technical background with a three-year career gap. I stumbled upon OdinSchool when I was looking for an opportunity to change my career path. Their mentors have excellent teaching skills, and they shaped my future as a Software Engineer at Prolifics."
Career Upgrade
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Pranesh
Samala

Data Analyst
Associate Claims
Data Analyst
"OdinSchool's projects gave me the hands-on experience I needed. I was able to change my career path and successfully start my Data Science journey with Indegene."
Career Transition
Data Scientist and More Jobs!
The continuous need for skilled professionals shows no signs of slowing down in the Data Science field. Upskill yourself to grab the best jobs!
Snapshots
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Top companies: Shadowfox, Flipkart, Bread Financial
Top companies: Shadowfox, Flipkart, Bread Financial
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Top companies: Golden Hills Capital, Moldtek Packaging Ltd., CarDekho
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Top companies: CoffeeBeans, Warrior Tech Solutions, Celebal Technologies

Top companies: Swiggy, CIMB, Celebal Technologies, Physics Wallah
Syllabus of Data Science Training
in Mumbai
An industry-aligned curriculum that will make you productive from day one. The syllabus is updated every month so you learn the skills that recruiters love.
Core Modules
- Introduction to Databases
- SELECT, FROM, WHERE
- GROUP BY, HAVING
- Joins (LEFT, RIGHT, FULL OUTER)
- Subqueries
- Window Functions
- Common Table Expressions (CTEs)
- Python Basics (Data Types, Loops, Functions)
- Pandas for Data Manipulation, Data Cleaning
- NumPy for Numerical Computations, Arrays
- Data Visualization with Matplotlib and Seaborn
- Exploratory Data Analysis (EDA) Project
- Introduction to Machine Learning
- Regression Models
- Classification Models (Logistic Regression, Decision Trees, Random Forest)
- Unsupervised Learning (Clustering, Dimensionality Reduction)
- Model Evaluation (Cross-Validation, ROC-AUC)
- Hyperparameter Tuning
- Machine Learning Project with streamlit
- Applications of Generative AI
- Language Models
- LLAMA3 Series
- Mixtral
- Model Fine-Tuning and Customization
- Ethical Considerations
- ETL Processes
- Data Pipelines
Bonus Modules
- Introduction to Power BI
- Data sources and connections
- Data transformation and cleansing
- Data modeling and relationships
- Measures and calculated columns
- Creating hierarchies and custom tables
- Introduction to Power BI visualizations
- Creating and customizing visuals
- Interactive reports and dashboards
- Power BI themes and templates
- Publishing and sharing reports
- Introduction to DAX
- DAX functions and syntax
- Creating calculated columns and measures
- Time intelligence functions
- Advanced DAX scenarios
- Data Types
- Numerical Measures (Mean, Median, Mode, Variance, Standard Deviation)
- Probability
- Distributions (Normal, Binomial)
- Hypothesis Testing
- Introduction to Excel
- Data manipulation, cleaning, and formatting
- Conditional formatting
- Formulas and functions
- Pivot tables and charts
- Data analysis using Excel
- Basic Exploration
- Missing Values
- Outliers
- Dealing with Skewed data
- Data Visualization
- Binning
- Dummy Variable
- Feature Scaling
- Introduction to PySpark and Big Data concepts
- Spark Ecosystem and RDD Fundamentals
- DataFrames and SQL-like operations in PySpark
- Spark Transformations and Actions
- Setting up Spark on Google Collab for hands-on learning
- Advanced topics: Spark MLlib basics and optimization techniques
- Introduction to R
- R data types
- Basic Math functions
- R vector
- Operators
- Matrix
- Arrays
- Data Frames
- Regular Expressions
- Data Manipulation
- Data Visualization
- R Markdown
- Global Variables
- Basics of Cloud Computing and Azure Fundamentals
- Setting up Azure Virtual Machines and Storage
- Introduction to Azure SQL Database and Data Factory
- Working with Azure Databricks for big data processing
- Integration with Delta Lake and Azure Synapse Analytics
- Introduction to Snowflake and its architecture
- Snowflake securable DataBase Objects
- Access controls
- Snowflake SQL commands, DataTypes, and Functions
- Snowflake: Batch/Bulk loading
- Snowflake: Continuous Loading with Snowpipe, Streams, Tasks
- Time travel, failsafe, and cloning
- Getting Started with Tableau: Installation and Basics
- Creating and Working with Different Chart Types
- Data Visualizations with Filters, Hierarchies, and Drilldowns
- Creating Dashboards and Stories
- Advanced Functions: Parameters, Forecasting, and Relationships
Career Acceleration Skills
Tools












Learn everything about our Data Science Course!
Prep well for your dream career
Attend comprehensive industry-readiness training along with your technical training.
Learn Data Science while you:

clarify doubts live

receive project presentation guidance and evaluation

interact with industry veterans

attend communication and aptitude training

take quizzes

build and optimize your resume and other professional profiles

learn workplace behavioral skills
Live interaction with instructors

A dedicated job portal to find relevant opportunities

Mock interview sessions to boost your confidence

What’s a great curriculum without
project-based learning?
Engage in 10+ Data Science projects and work with instructors to master the art of project presentation.
COVID - 19 Prediction

Develop a predictive model that can accurately identify the likelihood of COVID-19 infection
Use classification models like SVM, Gradient Boosting, and KNN.
Python
Statistics
EDA
ML
Credit Card Approval

Help banks find potential customers to give out credit cards to by building an ML model
Use classification models like Logistic Regression.
ML Models
Python
Statistics
ML
Health Insurance Prediction

Build a predictive ML model to increase the accuracy of health insurance prediction
Use regression models like Linear Regression, Random Forest, XGboost.
Python
EDA
Statistics
ML
Bank Term Deposit

Develop an ML model predicting subscriptions to a term deposit.
Use classification models like Logistic Regression and Naive Bayes Classifier.
Python
Statistics
EDA
ML
Customer Churn Rate Prediction

Predict churn rates using data collection, preparation, analysis, and visualization
Analyze data, take proactive measures to retain customers, and monitor results.
Python
Statistics
EDA
ML
California Housing Price Prediction

Uncover California's housing market trends effortlessly with powerful Python libraries
Explore location, size, income, amenities, and more to uncover trends.
Python
Statistics
EDA
ML
Data Science Projects: Student Highlights
This project involves analyzing customer behavior and sales trends of a retail company. Objectives:
- Finding the top-selling products
- Identifying the top customer
- Calculating the average amount spent by each customer
- Identifying products with the highest profit margin
Retail DB
Topics Covered
- Data Understanding
- Power Query Editor
- Visualizations
- Storytelling
Tools and Technologies


Data Professional Survey Breakdown
Data Science Course Fee in Mumbai
Option 1: Direct Payment
Course Fee
₹ 80,000 + GST


Our Financing Partners:
*If you wish to withdraw from the Bootcamp within the first 10 days from the start date, your fee will be fully refunded.
Option 1: Direct Payment
Course Fee
₹ 80,000 + GST

Our Financing Partners:
*If you wish to withdraw from the Bootcamp within the first 10 days from the start date, your fee will be fully refunded.
Data Science Certification in Mumbai
Showcase your certificate as a symbol of your Data Science expertise.

FAQs for Data Science Course in Mumbai
You can clarify doubts right within your lectures from the instructors. Or, you can reach out to us via our discussion forums anytime you get stuck. Your learning will be over our online learning management system, available to you anytime, anywhere.
As part of the OdinSchool mentorship program, practicing industry professionals are brought into the bootcamp to interact with students and provide industry insight. Mentors interact with students in groups and in one-to-one sessions providing guidance. Our mentors are very knowledgeable in their subjects and have a passion for helping students.
You will be eligible for the placement assistance if you:
- Successfully complete the Capstone project within the stipulated time period
- Successfully clear all the Placement Readiness tests
- Submit and get all the documents required for placements verified
- Attend all the interview processes, including the test, technical interviews and other related processes
- Not reject more than ONE formal company job offer letter
- Disclose all important information required for standard background checks
No, there is no job guarantee.
OdinSchool is proud to offer top-notch live classes, mentorship, projects, and extensive career services. We also provide dedicated placement assistance through our network of 500+ hiring partners. We're fully committed to your success. However, it's important to understand that our Bootcamp does not offer a job guarantee and that your own effort and dedication are essential to achieving success. We encourage you to work hard and take full advantage of the opportunities we provide, knowing that we'll be there to support you every step of the way.
About Mumbai
Known as the financial capital of India, Mumbai is the hub of top financial offices. Mumbai is also renowned as the heart of the Bollywood industry, boasting the residences of numerous stars. Fuelled by its bustling local train network, this city attracts individuals from across the globe in pursuit of lucrative career opportunities.
If you live in Mumbai, you must explore OdinSchool's Data Science Bootcamp! Owing to the surge in data generated across industries, there's a growing demand for skilled Data Science professionals in Mumbai. Moreover, the number of Data Science jobs is set to globally grow 27.9% by 2026. The top job roles in the industry include:
1. Data Scientist
2. Data Analyst
3. Data Engineer
4. AI Engineer
5. Power BI Developer
To equip yourself with the necessary skills to secure top positions in the market, upskill yourself with OdinSchool!

Contact Details

GreyCampus Edutech Private Limited,
Aikya Vihar, Plot 218, B Block,
Kavuri Hills Phase - II,
Hyderabad - 500033

