Data Science Bootcamp With Job Assistance in Mumbai

500+ Hiring Partners

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

Nidhi

kulkarni

Software Engineer E2

FROM

Student Recruitment Advisor

Software Engineer E2

" "Data Science applications are found in all fields. This gave me the confidence to apply for OdinSchool's Bootcamp although I am from a non-technical background. The support from the mentors is unparalleled!""

Career Transition

Akhil

Mandala

Data Engineer

FROM

Sr. Recruitment Advisor

Data Engineer

""Hi, I'm Akhil. I'm working as a Data Engineer at Aspectsites Pvt. Ltd. OdinSchool has helped me transition from a non-technical background to Data Science and get placed at AspectSites. Their career services is commendable and very helpful.""

Career Transition

Prudhvi

Yerpula

IND Analyst

FROM

Process Executive

IND Analyst

""I got placed at AON after completing OdinSchool's Data Science Bootcamp. Thanks to OdinSchool; my Data Science career started on a great note. I am looking forward to growing further in the field.""

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

It's your turn to become a Data Science professional.
Secure your seat today!

Check Success Stories

Snapshots

530

Data Science job opportunities available to our learners this week

₹35 LPA

Highest Package

₹8 LPA

Median Package

Top Job Roles

Data Analyst

Data Engineer

Data Scientist

ML Engineer

Power BI Developer

A weekly round-up of job opportunities

21 NOV 2023 | 500 Jobs Available

Top companies hiring our learners this week - Housing.com, Spoors, Skydo, Quadrant Technologies, Dot eVentures, and Your HR Power

Skills Required

Python

SQL

Power BI

ML Techniques

Excel

Tableau

14 Nov 2023 | 500 Jobs

07 Nov 2023 | 510 Jobs

31 OCT 2023 | 510 Jobs Available

Learn workplace skills to never feel out of place at work.

Your working style and behavior decide if you are a good cultural fit. Learn workplace skills so you never feel out of place at work.

Sell your skills, and sell them well.

You are halfway there if you have a great resume and an optimized online presence. Work with our experts to build your professional profiles.

No more pre-interview jitters. Attend mock interviews!

Get a grip on those pre-interview nerves. Test and practice your skills with mock interview sessions.

Resume Building

Mock interviews

Behavioral Skills Workshop

Online Profile Building

Industry Interaction

Unlimited Job Opportunities

Structured Query Language (SQL) is a powerful tool used in the management and manipulation of data within relational database systems. Databases are essential in modern computing, serving as repositories for structured information that can be easily accessed, queried, and manipulated. In this module, we will explore key SQL concepts, from creating databases and tables to advanced operations like subqueries and common table expressions (CTEs).

Advanced SQL skills are essential for those working with complex data and databases. In the realm of advanced SQL, data professionals and analysts delve deeper into the intricacies of data manipulation, utilizing a range of sophisticated techniques and functions to extract valuable information from complex datasets. Here, we explore the advanced SQL concepts and operations that empower data experts to unlock the full potential of their databases.

In today's digital landscape, Python has emerged as a powerhouse programming language, revolutionizing the way we develop software, conduct data analysis, and automate tasks. Its versatility, readability, and a vast ecosystem of libraries have made Python an indispensable tool for programmers, data scientists, and professionals across various domains. In this exploration, we will delve into Python's significance in the modern era, its integrated development environments (IDEs), and fundamental programming concepts.

Python, known for its versatility and simplicity, is not limited to basic programming tasks. It provides a robust platform for handling complex data manipulations, database management, and more. In this module we will delve into some advanced topics in Python that empower developers to tackle intricate challenges effectively.

Statistics is a cornerstone of data-driven decision-making across diverse domains. By mastering these fundamental statistical concepts and techniques, individuals and professionals gain the ability to extract meaningful insights, validate hypotheses, and make informed choices in an increasingly data-centric world. Whether analyzing survey results, conducting scientific research, or optimizing business processes, statistics offers a powerful set of tools to navigate the complexities of data and enhance our understanding of the world around us. In this module, we will explore key statistical concepts and techniques, paving the way for a deeper understanding of data science as a whole.

Exploratory Data Analysis (EDA) serves as the compass in a data scientist's journey, providing essential guidance through the intricacies of a dataset. By systematically examining data, we unveil patterns, understand data quality, and prepare it for more advanced analyses. Here, we explore the fundamental steps of EDA, illuminating the path to insightful data-driven decisions.

Machine learning is a dynamic field that empowers us to extract insights, make predictions, and automate decision-making processes using data. By understanding the core concepts and algorithms, data scientists and practitioners can harness the power of ML to solve a wide range of real-world problems, from predictive analytics to pattern recognition and beyond. In this module, we will embark on a journey through the exciting landscape of ML, touching upon key concepts and algorithms.

Business Intelligence (BI) is the practice of transforming raw data into meaningful insights that inform strategic decisions. It encompasses a comprehensive life cycle of data collection, analysis, visualization, and reporting. Power BI, a leading BI tool, equips organizations with a powerful platform to transform data into actionable information. Here, we delve into the key components, features, and skill sets required for successful Power BI utilization.

In the world of software development and collaboration, Git and GitHub play pivotal roles. Git is a distributed version control system that allows developers to track changes in their code, while GitHub provides a platform for hosting and sharing Git repositories. Here, we introduce the basics of Git and GitHub, from installation to key commands and workflows.

Get behind the prompts and unpack how a Generative AI model gets built. Understand concepts like Large Language Models, Transformers, Prompts and Training. Importantly, explore tools that let you build applications using State of The Art models without building from scratch.

Hugging Face is a machine learning (ML) and data science platform and community that helps users to build, deploy and train machine learning models. It provides the infrastructure to demo, run and deploy artificial intelligence (AI) in live applications. At the core of Hugging Face's offerings is the Transformers library, which has revolutionized the way we work with NLP models. We will explore what Hugging Face is, its key components, and how it has reshaped the NLP landscape.

Gradio is a Python library that revolutionizes the way we interact with machine learning models and AI applications. Designed to make AI accessible to a broader audience, Gradio simplifies the process of creating intuitive interfaces for machine learning models, allowing users to interact with AI systems effortlessly. We will dive into what Gradio is, how to install it, and how to create and customize simple Gradio interfaces.

Starting from Azure fundamentals, you would learn how to get Data from Azure storage, create live connections and use the ‘What if’. Deepen your knowledge of Power Query with the advanced editor, Optimizing DAX and using paginated reports. Learn Advanced Power BI service with Apps and Deployment pipelines.

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.

Go beyond the classroom and pick up cookbook recipes for real world challenges in this extras series for Python 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.

Learn Data Analysis using Excel - formulas, macros, pivots, power pivots, power query and building reports. Build and design interactive dashboards.

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.

Get placement opportunities up to 2 years!

Prep well for your dream job

Attend comprehensive job 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 Placement Team to go on job hunts for you

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

ML Technologies

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, and XGBoost Classifier.

ML Models

Python

Statistics

ML Technologies

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 Technologies

Bank Term Deposit

Build an ML model to to predict whether a customer would subscribe to bank term deposit

Use classification models like Logistic Regression and Naive Bayes Classifier.

Python

Statistics

EDA

ML Technologies

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 Technologies

California Housing Price Prediction

Uncover California's housing market trends effortlessly with powerful Python libraries

Explore location, size, income, amenities and more.

Python

Statistics

EDA

Regression Model

Others

Live Online Classes

Live online classes led by instructors

Bootcamp Price

Very high value for money

Expensive

Scholarships

Scholarships up to ₹ 30,000

Curriculum

Updated every month as per industry requirements

Not up-to-date

Projects

Industry-aligned projects with project presentation guidance

Not industry-aligned

Mock Interviews

With a dedicated team

Career Services

Extensive services, including resume-building and behavioral skills workshops

Support

A dedicated support team

Placement Opportunities

Unlimited interview opportunities

Limited opportunities

Salary Negotiation

For higher salaries

Upcoming Cohort

₹ 99,000 + GST

Scholarships Up To

₹ 30,000

No cost EMIs start at ₹ 5,506 per month. 3, 6, 9, 12 months EMI option available.

Our Financing Partners:

Reserve your seat at ₹5000 +GST

Dr. Mohit Sewak

Principal Applied AI Researcher

Saurabh Ray

Data Scientist

Dr. Debojyoti Roy

Chief Data Scientist

Manish Kumar Singh

Data Scientist

Sarveshwaran Rajagopal

Sr. Data Scientist

Nagaraju Chikoti

Sr. Product Engineer

Krishna Kumar

Principal Data Scientist

Anand Narayanan

Founder

Murlidhar Bhekane

Staff Data Engineer

Avinash Mishra

Data Science Manager

Dr. Chiranjiv Roy

VP, Data Science

Abidunnisa Begum

Lead Instructor

Vishal Jain

PDM

Jyant Mahara

Data Science Lead

Rahul Saha

Chief Data Scientist

Chitranjan Upadhyay

Senior Instructor

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

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

Mumbai is known as the financial capital of India. It is the hub of all financial offices. This city runs on local trains, and people from all over the world come here to make a career here. The Bollywood industry is in Mumbai and is the home of many stars. State and central government employees make up a large percentage of the city's workforce. If you are staying here, then you must get yourself enrolled in OdinSchool's Data Science Bootcamp for a great career.

Remember:

The average salary of a Data Science Professional is ₹ 8.6 LPA.
- Entry Level – < 1 year of Experience – ₹ 4 LPA to ₹ 5.6 LPA
- Early Career – 1 to 4 years of Experience – ₹ 6 LPA to 8.5 LPA
- A Mid Career – 5 to 9 years of Experience – ₹ 9 LPA to 15 LPA
- Experienced – More than 10 years of Experience – ₹ 15 LPA to 20 LPA

+91 892 908 3443

Talk to our counsellor

Data Science Course in Mumbai

30 Dec 2023

₹ 99,000 + GST

Hear from your peers who’ve been successfully placed.

Shilpa

Ingole

Nidhi

kulkarni

Akhil

Mandala

Prudhvi

Yerpula

Vijaya Rani

Rachapally

Pranesh

Samala

It's your turn to become a Data Science professional. Secure your seat today!

New placement opportunities every week!

Snapshots

Top Job Roles

A weekly round-up of job opportunities

Want to grab these opportunities? Get in touch with us today!

Career Services in a nutshell

Learn workplace skills to never feel out of place at work.

Sell your skills, and sell them well.

No more pre-interview jitters. Attend mock interviews!

Power ahead in your career with Career Services

Resume Building

Mock interviews

Behavioral Skills Workshop

Online Profile Building

Industry Interaction

Unlimited Job Opportunities

Get unlimited interview opportunities for 2 years!

The most in-demand skills in a single Data Science Bootcamp curriculum!

Core Modules

Module 1 SQL Foundations

SQL Foundations

Module 2 SQL Advanced

SQL Advanced

Module 3 Python Foundations

Python Foundations

Module 4 Python Advanced

Python Advanced

Module 5 Statistics

Statistics

Module 6 Exploratory Data Analysis (EDA)

Exploratory Data Analysis (EDA)

Module 7 Machine Learning (ML)

Machine Learning (ML)

Module 8 Power BI

Power BI

Module 10 Git and Github

Git and Github

Module 11 Generative AI

Generative AI

Module 1 Hugging Face

Hugging Face

Module 1 Gradio

Gradio

Bonus Modules

Module 1 Power BI Advanced

Power BI Advanced

Module 2 Storytelling

Storytelling

Module 3 SQL extra resources

SQL extra resources

Module 4 Python extra resources

Python extra resources

Module 5 Snowflake

Snowflake

Module 6 Databricks

Databricks

Module 7 GPT

GPT

Module 8 Azure Data Factory

Azure Data Factory

Module 9 Advanced Excel

It's your turn to become a Data Science professional.
Secure your seat today!

New placement opportunities
every week!

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

Join our Data Science Course to learn the most
in-demand skills and technologies!