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.
Next Cohort
22 Feb 2025
Duration
6 Months
A Certified Member of
Course Highlights
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
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!
15.2 LPA
is the Median Salary of Data Analytics Professionals in Delhi
30%
of Data Science Job Openings in India are based in Delhi
40%
Increase in Data Science job postings in the
last 2 years
28%
of India's analytics industry revenue ($565 million) comes from Delhi
Top Companies Hiring Data Science Professionals in the NCR Region
Students Testimonials
Janapureddi
Radha
Product Analyst
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
Varshney
Business Technology Solutions Assoc.
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
Data Engineer
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
MIS Executive
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
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, ClusteringDeep Learning
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.
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.
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.
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.
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.
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, ClusteringDeep Learning
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.
Real-world Projects for Hands-on Learning
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
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
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
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
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
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
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
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.
Become a Certified Data Science Professional in Delhi
Showcase your certificate as a symbol of your Data Science expertise.
FAQ's
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.