Data Science Course with Job Assistance in Mumbai

500+ Hiring Organizations

Join our live instructor-led Data Science Course in Mumbai and become a skilled Data Science professional in 6 months! 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.

Shilpa

Ingole

Associate Consultant

FROM

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

FROM

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

FROM

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

FROM

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

FROM

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

Pranesh

Samala

Data Analyst

FROM

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 in just 6 months."

Career Transition

Top companies: Shadowfox, Flipkart, Bread Financial

Top companies: Golden Hills Capital, Moldtek Packaging Ltd., CarDekho

Top companies: CoffeeBeans, Warrior Tech Solutions, Celebal Technologies

Top companies: Swiggy, CIMB, Celebal Technologies, Physics Wallah

Basics of SQL Syntax and Commands, Retrieving Data Using SELECT Statement, Filtering Data Using WHERE Clause, Sorting Data Using ORDER BY Clause, Joins in SQL: INNER JOIN, LEFT JOIN, RIGHT JOIN, Grouping Data Using GROUP BY Clause, Subqueries and Common Table Expressions (CTEs), Advanced SQL Concepts: Window Functions

Overview of Excel Interface and Basic Functionalities, Importing Data into Excel from Various Sources, Basic Functions: SUM, AVERAGE, COUNT, etc., Introduction to More Advanced Functions like VLOOKUP, Creating PivotTables and PivotCharts, Data Visualization Using Charts and Graphs, Text Functions, Date Functions, and Data Manipulation, Introduction to Macros and Basic Automation Techniques

Sample vs. Population, Numerical (Continuous and Discrete) and Categorical, Nominal, Ordinal, Interval Scale, Ratio Scale, Measures of Central Tendency, Measures of Dispersion, Important Terminology, Types of Probability, Normal Distribution & Z Distribution, Correlation, Z Test, T Test, ANOVA, and Chi-Squared Test

This Capstone project is designed to combine practical skills in SQL, advanced Excel techniques, and foundational statistics to analyze and interpret data effectively. Participants will leverage these tools to conduct comprehensive data analysis, uncover patterns, and make data-driven decisions.

Introduction to Power BI, Building Basic Visualizations, Data Modelling in Power BI, Advanced Visualizations, Introduction to Dataflows in Power BI, Advanced Data Cleaning and Transformation, Integrating Dataflows with Power BI, Introduction to DAX, Power BI Service and Sharing, Performance Optimization, Power BI Best Practices

Python and Its Importance in Modern Day, Python IDEs and Google Colab, Data Types, Operators, Expressions, Control structures: Decision control structures, Simple If, If-Else, Nested If-Else, If-Elif-Else, Control structures: Iterative control structures (For Loop), String creation and indexing, Break and Continue statements, While loops, String manipulation and functions, Collections: List functions, Tuples & sets, Dictionary, Functions, Types of Arguments, Recursion, Lambda Functions, Higher Order Functions, Numpy Basics, Pandas, Matplotlib, Seaborn, OOPs, PyMysql

Simple Linear Regression, Multiple Linear Regression, R-Squared, Ajusted R-Squared, MSE, MAE, RMSE, Linear Regression Implementation with Python, Performance Metrics, Confusion Matrix, Accuracy, Precision, Recall, Logistics Regression Implementation with Python, Cross-validation & Types, Hyperparameter Tuning, Decision Tree Implementation with Python, Bagging, Random Forest Classifier/Regressor, RFC Implementation with Python, Boosting, XGBoost Intuition and Implementation, KNN Implementation with Python, SVM, Feature Selection, Unsupervised ML, PCA, Clustering

Perceptron Indepth Intuition and Implementation, Multi-Layer Perceptron (ANN)RNN and Its Types, Introduction to NLTK, Spacy Libraries, Tokenization, Word Embeddings, Small Project to Create Word Embeddings

Evolution of NN to LLMs, What is Generative AI? What are the Types of LLMs and Applications? BERT (Bidirectional, Uses Only Encoder), GPT (Unidirectional, Uses Only Decoder), Zero-Shot Learning, How Do LLMs Work? Huggingface, What are Pre-trained Models? Use Pre-Trained Models for Applications, Basics of LangChain, Ollama, Explore Open Source LLMs, API's, Prompt Engineering, Vector Databases, Introduction to Gradio, Rag Application Using Gradio or Streamlit

This Capstone project combines an in-depth exploration of SQL, Advanced Excel, Statistics , Power BI to provide a holistic approach to data analysis and business intelligence. Participants will learn to manage, analyze, and visualize data effectively using a suite of tools and technologies to derive actionable insights and solve real-world business problems.

In the world of Data Analytics it’s not enough to dig out insights from Data. It’s important to drive action using these insights by offering a compelling narrative. This is where Storytelling comes in; how do you offer a context to the problems and opportunities that came up as a result of the Analysis done and showcase the impact.

Go beyond the classroom and pick up cookbook recipes for real world challenges in this extras series for SQL as you prepare for interviews and recruitment tests.

Understand the layers of Snowflake's architecture: storage, computing, and services. Learn how these layers work together to provide a scalable and flexible data warehousing solution.

Learn to use the Databricks community edition, pick up core Databricks concepts, using the notebook, creating and managing clusters, DBFS and utilities. Master Dataframe transformations, mounting Azure Datalake Storage, and Databricks SQL.

Go beyond ChatGPT and leverage the power of GPT4 to build applications that use OpenAI’s APIs to build customer facing applications solving specific problems.

Learn from the basics of ADF, its interface, components, and resource creation. Explore Data movement, transformation, and pipelines. Master Scheduling and chaining pipelines and Azure SQL.

Understand Language constructs from a model training point of view. Explore tokenization, lemmatization, stemming, and tagging Parts of Speech. Learn Named Entity Recognition, TF/IDF, language model, word corpuses. Build models and train them to achieve summarization, completing, and translation tasks.

Learn Neural networks, training the model, back propagation and knowledge transfer. Explore applications of CNNs and RNNs, and understand Image recognition, natural language processing and speech recognition.

R is a powerful programming language and an open-source software widely used for statistical analysis and data visualization. Its significance extends across various fields, making it a valuable tool for researchers, data scientists, and analysts. Learn R from the basics.

Traditional Big Data tools have given way to PySpark for the Ease of Use and Data processing capabilities. Learn how to build ETL pipelines, building workflows, jobs, and optimization for real time streaming data.

Effective communication is the bedrock of success in any profession. These sessions offer a comprehensive curriculum to sharpen your communication skills, ensuring you can convey your thoughts and ideas with confidence and clarity.

Under the much needed awareness of learning in today's world, we delve into the art of effective learning. Discover the science behind efficient study techniques, information retention, and continuous skill acquisition. Gain the edge in your career by mastering the skill of learning itself.

Confidence is the cornerstone of success. Our confidence-building session explores practical strategies to boost self-assurance, enhance your communication skills, and project a strong, professional image in any situation.

Emotional intelligence is a key driver of effective leadership and teamwork. Explore the depths of self-awareness, empathy, and interpersonal skills in this session, enabling you to navigate professional relationships with finesse.

Time is a precious resource, and mastering its management is vital. Our time management session equips you with strategies to prioritize tasks, set achievable goals, and maintain a healthy work-life balance.

Innovation is at the heart of success. Develop problem-solving prowess and foster creativity through design thinking methodologies. Learn how to tackle challenges with a systematic and innovative approach.

Accelerate your career growth!

Prep well for your dream career

Attend comprehensive industry-readiness training along with your technical training.

Learn Data Science while you:

clarify doubts live

practise in Labs

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

Get support every step of your way

Live interaction with instructors

A dedicated job portal to find relevant opportunities

Mock interview sessions to boost your confidence

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

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

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

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

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

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

Retail DB

Topics Covered

Joins
Aggregate
Group By
Order By

Tools and Technologies

View Project

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

Data Professional Survey Breakdown

Topics Covered

Data Understanding
Power Query Editor
Visualizations
Storytelling

Tools and Technologies

View Project

The objective is to deliver an informative, engaging, and visually appealing presentation that unlocks valuable insights about the data community. The presentation will also encourage audience participation and exploration.

Upcoming Cohort

Course Fee

₹ 75,000 + GST

Early Bird Offer Up To ₹10,000

Hurry, offer only for 100 seats!

Reserve your seat at ₹5000 + GST

No cost EMIs start at ₹6,392 per month. 3, 6, 9, 12 months EMI option available.

Our Financing Partners:

Course Fee

₹ 80,000 + GST

Claim your spot and propel your skills to new heights!

Reserve your seat at ₹5000 + GST

No cost EMIs start at ₹7867 per month. 3, 6, 9, 12 months EMI option available.

Our Financing Partners:

The Bootcamp includes around 500 hours of learning spread across 6 months. We expect you to put in around 15 hours of work on the weekends throughout the duration of the Bootcamp. The time commitment will be toward live classes, team tasks, assignments, quizzes, and project work.

You will work on 10+ projects across the core domains in the bootcamp. Projects are kept updated in line with industry trends; so expect variety.

All of our instructors are industry veterans with extensive core experience in their respective fields. Our instructors also come with a passion to teach and enjoy interacting with students.

The outcome of this Data Science Bootcamp is a job in Data Science. Using multiple projects, we will train you in the essential tools and technologies needed to get a data science job.

All classes are conducted online over the internet using video conferencing solutions like Zoom or Webex. You will require access to the internet (2 Mbps+ recommended) on a computer (preferred) or on a mobile device to attend. Class size may vary depending on the specific cohort. However, we have teaching assistants available to interact in small groups and also conduct one-on-one sessions.

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.

Placement assistance is provided to all the students who graduate the Bootcamp as per expected performance standards. Eligible students will be given ample placement opportunities for six months after the completion of the Bootcamp. Placement opportunities might be available in

different cities across India and you are expected to be open to relocating in order to utilize the best placement opportunities.

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!

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

+91 935 501 1033

hello@odinschool.com

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Talk to our counsellor

Data Science Course in Mumbai

Key Highlights

Data Science Course Mumbai Overview

Data Science Career Transitions

Shilpa

Ingole

Aniket

Mohite

Yayati

Jadhhav

Nikhil

Kumar

Vijaya Rani

Rachapally

Pranesh

Samala

Data Scientist and More Jobs!

Snapshots

Syllabus of Data Science Trainingin Mumbai

Core Modules

Module 1 SQL Basics

SQL Basics

Module 2 Advanced Excel

Advanced Excel

Module 3 Statistics

Statistics

Module 4 Mini Capstone: Integrative Analysis Using SQL, Advanced Excel, and Statistics

Mini Capstone: Integrative Analysis Using SQL, Advanced Excel, and Statistics

Module 5 Power BI Fundamentals

Power BI Fundamentals

Module 5.1 Python

Python

Module 8 Machine Learning

Machine Learning

Module 1 Deep Learning

Deep Learning

Module 1 Generative AI

Generative AI

Module 10 Capstone Project

Capstone Project

Bonus Modules

Module 2 Storytelling

Storytelling

Module 3 SQL Extra Resources

SQL Extra Resources

Module 5 Snowflake

Snowflake

Module 6 Databricks

Databricks

Module 7 GPT

GPT

Module 8 Azure Data Factory

Azure Data Factory

Module 10 NLP

NLP

Module 11 Deep Learning

Deep Learning

Module 1 R

R

Module 1 PySpark

Syllabus of Data Science Training
in Mumbai

What’s a great curriculum without
project-based learning?