Data Science Course with Job Assistance in Pune

115+
Live Sessions

530+
Self-Paced Learning Resources

230+
Assignments & Projects

60+
Practice & Aptitude Tests

Live
Doubt Clarification

Labs
For Hands-On Practice

Job Portal
with 100+Jobs

Flexible
EMI Options

Join our live instructor-led Data Science Course in Pune 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 Pune. 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.

Sarika

Raut

Consultant

FROM

Front End Developer

Consultant

"I was into IT but after some time I realized there was stagnation and I always wanted to learn more and get to a better level. This bootcamp helped me get the right skills and bag a better package in the industry. Thanks to Odinschool for being supportive throughout."

Career Upgrade

Pranay Bedse

Senior Analyst

FROM

Fresher

Senior Analyst

"I have learned a lot of different skills, such as Python, Stats, EDA, SQL, ML, etc. In this Bootcamp, they also focused on personal development, resume building, and mock interviews. All these things helped me land a good Data Science job. Big thanks to OdinSchool."

Career Launch

Swarnim Borkar

Data Engineer

FROM

Consultant Data Annotator

Data Engineer

""OdinSchool provides one of the finest Data Science Bootcamp. I've received training on various latest in-demand technological products. OdinSchool features a 24*7 support service that covers both technical and behavioral abilities.""

Career Upgrade

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

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

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

Adesh

Sonawane

Senior Analyst/A5

FROM

Fresher

Senior Analyst/A5

"I was not sure in the beginning if I would be able to do this, but the way the program is designed and the support that I received made it possible. I gave my 100% and so did they. Thankful to OdinSchool for helping me learn and start my career with confidence."

Career Launch

Naveen Cheedi

Implementation Analyst

FROM

Senior Reliability Analyst

Implementation Analyst

""I love data and hence, followed my passion to pursue Data Science as a career option. I haven't regretted the career transition one bit. Cheers to Team OdinSchool!""

Career Upgrade

Skills Required

SQL

Linux

Python

AWS

Azure

Power BI

Advanced Excel

Top Job Roles

Quality Analyst

Data Analyst

Product Operations Associate

Business Analyst

Top companies: Dun & Bradstreet, Fibe India, Dhruv Research, MagicBricks

Top companies: Tiyasha Software Pvt. Ltd, Kavayah Solutions, and KD Hospital

Top companies: LinQuest, Vivifi, ADA

Top companies: Amazon, Swiggy, Vivifi, Head Digital Works, Beem, Konnect

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

Power BI and Power Automate Integration, Introduction to AI Builder, Introduction to Dataflows in Power BI, Advanced Power Automate Scenarios, Integrating Dataverse with Power BI, Custom Applications with Power Apps

Understanding Microsoft Dataverse, Integrating Dataverse with Power BI, Introduction to Microsoft Fabric, Custom Applications with Power Apps, Advanced Data Integration, Power Platform Solutions

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.

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

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

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

practice 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

Option 1: Direct Payment

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:

Option 2: Pay-on-Success

Upfront Payment

₹ 40,000 + GST

10% of Your Annual CTC Upon Placement

Secure your success
Pay 10% of your annual CTC after placement.

This bootcamp fee model is designed to align perfectly with your career advancement goals. Get started with your transformative journey by paying the Upfront Amount first. After placement, just pay 10% of your first year's annual CTC towards the total fee.

The upfront fee payment may be paid in 2 equal installments - one before the cohort starts, and the other within one month from the cohort start date.

Option 1: Direct Payment

Course Fee

₹ 75,000 + GST

Claim your spot and propel your skills to new heights!

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:

Option 2: Pay-on-Success

Upfront Payment

₹ 40,000 + GST

10% of Your Annual CTC Upon Placement

Secure your success
Pay 10% of your annual CTC after placement.

The upfront fee payment may be paid in 2 equal installments - one before the cohort starts, and the other within one month from the cohort start date.

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.

In this Data Science Bootcamp, you will work on around 10+ projects across the core domains of Data Science. 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.

OdinSchool's Data Science Bootcamp comes with a 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. We start offering placement assistance from the seventh month and continue to offer this assistance up until two years following the bootcamp's start date. 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 Pune

Encompassed with slopes and lakes, the pleasant city of Pune is the pride of west India. It is the social capital of the condition of Maharashtra. The social and scholarly limit of Pune has earned it the title of being the 'Oxford of the East. Pune has a long-standing chronicled foundation.

If you live in Pune, 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 Pune. 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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+91 935 501 1033

Talk to our counsellor

Data Science Course in Pune

Key Highlights

Data Science Course Pune Overview

Hear from your peers who’ve been successfully placed.

Sarika

Raut

Pranay Bedse

Swarnim Borkar

Nidhi Kulkarni

Prudhvi Yerpula

Pranesh Samala

Adesh

Sonawane

Naveen Cheedi

Data Scientist and More Jobs!

Snapshots

Syllabus of Data Science Training in Pune

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 6 Power BI Automate, AI Builder, and Dataflows

Power BI Automate, AI Builder, and Dataflows

Module 7 Microsoft Dataverse and Microsoft Fabric

Microsoft Dataverse and Microsoft Fabric

Module 10 Capstone Project

Capstone Project

Module 5.1 Python

Python

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