OdinSchool

Data Science Course in Delhi

Join our live instructor-led Data Science Course and become a skilled Data Science professional in 6 months! We welcome applicants with a bachelor's degree in any discipline to enroll in this course.

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Next Cohort

25 Jan 2025

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Duration

6 Months

A Certified Member of

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Course Highlights

Live Sessions

115+
Live Sessions

Self-Paced Learning Resources

530+
Self-Paced Learning Resources

Assignments and Projects

230+
Assignments & Projects

Practice and Aptitude Tests

60+
Practice & Aptitude Tests

Doubt Clarification

Live
Doubt Clarification

For Hands-On Practice

Labs
For Hands-On Practice

with 100+ Jobs

Job Portal
with 100+ Jobs

Why become a Data Science Professional in the NCR?

With a thriving tech ecosystem and a wide range of industries, the demand for data science professionals in the National Capital Region (NCR) of India is growing exponentially.  As businesses increasingly adopt data science and rely on data-centric decision-making, the demand for skilled data science professionals is at an all-time high.  The NCR region is already home to numerous start-ups, multinational companies, and tech hubs and offers a wealth of career opportunities for data science aspirants!

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15.2 LPA

is the Median Salary of Data Analytics Professionals in Delhi
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30%

of Data Science Job Openings in India are based in Delhi
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40%

Increase in Data Science job postings in the
last 2 years
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28%

of India's analytics industry revenue ($565 million) comes from Delhi
Top Companies Hiring Data Science Professionals in the NCR Region
HCLTech 100X40 accenture Individual 100 x40 Amazon 100 x 40 individual ZS_Associates Wipro 100X40 indv Publicis_Sapient_100X40_indv Microsoft 100X40 Google Individual 100 x40 LTIMindtree_1 infosys_100x40 KPMG-logo_1 Genpact_100X40 Tech Mahindra100X40 Capgemini 100X40 Deloitte_100X40_Individual EY 100x40 individual Cognizant_100X40 (1) TCS100X40 Individual

Students Testimonials

Janapureddi Radha

Janapureddi

Radha

Vaco Binary semantics 100X40

Product Analyst

FROM
TO

Technical Associate

Product Analyst

"OdinSchool's Data Science course played a pivotal role in shaping my career, providing me with the skills and knowledge that helped me secure a position at Vacobinary as a Product Analyst!"

Career Upgrade

PRATEEK

Prateek

Varshney

ZS 100x40

Business Technology Solutions Assoc.

FROM
TO

Business Analyst

Business Technology Solutions Assoc.

"I am grateful for the key skills and practical experience that OdinSchool helped me acquire."

Career Upgrade

Md Ali Raza

Md Ali

Raza

DTL 100x40

Data Engineer

FROM
TO

Fresher

Data Engineer

"As a fresher, the comprehensive curriculum and real-world projects gave me the confidence to succeed in my career."

Career Launch

Madhusmita Baruah

Madhusmita

Baruah

swiggy_100x40_indv

MIS Executive

FROM
TO

Business Intelligence - Sr. Executive

MIS Executive

"The best investment I made for my career! Thank you, OdinSchool, for helping me upgrade my skill set and elevating my career."

Career Upgrade

Data Science Course Syllabus

Core Modules

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

Revise essential mathematics

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

Revise essential mathematics

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

Revise essential mathematics

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.

Revise essential mathematics

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

Revise essential mathematics

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

Revise essential mathematics

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, ClusteringDeep Learning

Revise essential mathematics

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

Revise essential mathematics

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

Revise essential mathematics

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.

Revise essential mathematics

Bonus Modules

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

Career Acceleration Skills

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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

Revise essential mathematics

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

Revise essential mathematics

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

Revise essential mathematics

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.

Revise essential mathematics

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

Revise essential mathematics

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

Revise essential mathematics

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, ClusteringDeep Learning

Revise essential mathematics

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

Revise essential mathematics

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

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

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.

Revise essential mathematics

Real-world Projects for Hands-on Learning

project_icons
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

COVID-19 Prediction

project_icons
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

Credit Card Approval

project_icons
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

Health Insurance Prediction

project_icons
Develop an ML model predicting subscriptions to a term deposit.

Use classification models like Logistic Regression and Naive Bayes Classifier.

Python

Statistics

EDA

ML

Bank Term Deposit

project_icons
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

Customer Churn Rate Prediction

project_icons
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

California Housing Price Prediction

Why OdinSchool is your gateway to a
Successful Data Science Career

OdinSchool OdinSchool
Others

Live Online Classes

✅ Live online classes led by instructors

Course Fee

✅ Very high value for money

Expensive

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 of experts

Career Services

✅ Extensive services, including resume-building and behavioral skills workshops

Support

✅ A dedicated support team

Salary Negotiation

✅ For higher salaries

Data Science Course Fee

Upcoming Cohort

Option 1: Direct Payment

Course Fee

₹ 80,000 + GST

✅
Early Bird Offer Up To ₹10,000
Hurry up
Hurry, offer only valid for the first 100 seats!
No cost EMIs start at ₹7867 per month. 3, 6, 9, 12 months EMI option available.

Our Financing Partners:

FeeMonk-HighRes-Logo-100_X_40 Liquiloans_100X40 Bajaj-Finance_100X40Avanse 100X40-1

 

*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

Hurry up
Claim your spot and propel your skills to new heights!
No cost EMIs start at ₹7867 per month. 3, 6, 9, 12 months EMI option available.

Our Financing Partners:

FeeMonk-HighRes-Logo-100_X_40 Liquiloans_100X40 Bajaj-Finance_100X40Avanse 100X40-1

 

*If you wish to withdraw from the Bootcamp within the first 10 days from the start date, your fee will be fully refunded.

Become a Certified Data Science Professional in Delhi

Showcase your certificate as a symbol of your Data Science expertise.

DS_Certificate

FAQ's

This Data Science course in Delhi includes around 500 hours of learning spread across 6 months. You will be expected to put in around 15 hours of work on the weekends throughout the duration of the course. The time commitment will be towards live-classes, team tasks, assignments, quizzes, and project work.

In this Data Science Course, 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.

At the end of this course, you will not only be fully prepared to break into the data science industry but also equipped to become a valuable industry asset who is productive from day one. 

All classes are conducted online over the internet using video conferencing solutions like Zoom. You will require access to the internet (2 Mbps+ recommended) on a computer (preferred) 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.

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. Jobs might be available in different cities across India and you are expected to be open to relocating in order to utilize the best options.

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 Course 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 job options we provide, knowing that we'll be there to support you every step of the way.

Yes. As per our refund policy, fee amounts once paid are non-refundable.

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