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Certificate Program in Data Science and Machine Learning

✅

Project-based, live instructor-led course

✅

Prepare for multiple job roles in Analytics and ML

✅

A dedicated job application portal

✅

Profile building and mock interview

A Certified Member of

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Upgrade your skill set & unlock new opportunities!

Upcoming Cohort

25 Jan 2025
Calendar (1)

Next Cohort Starts

25 Jan 2025

online learn (1)

Learning Format

Live-online

Course Highlights

ML models

Gain expertise to design and deploy ML models

certificate

Get certified by the prestigious E&ICT Academy

Live online

Attend 150+ hours of live sessions

Projects

20+ projects

campus

A visit to the prestigious
IIT Guwahati Campus

Career services

Get access to Career Services to assist you

Project

Project-based learning

Expert

Learn from industry experts and IIT faculty

Data Science and Machine Learning
Program Syllabus

Core Modules

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Understanding how databases store, manage, and retrieve data
Retrieving specific data from tables with filtering conditions
Grouping and filtering aggregated data
Combining rows from multiple tables based on related columns
Embedding queries within other queries to perform complex operations
Performing calculations across rows while preserving the result set
Organizing queries with temporary result sets for better readability and structure

Learn foundational programming concepts
Master the Pandas library for efficient data manipulation, and cleaning
Understand NumPy for numerical computations and work with multi-dimensional arrays
Create informative visualizations using Matplotlib and Seaborn
Apply Exploratory Data Analysis (EDA) techniques to uncover patterns and insights in a real-world dataset

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Understand the basics of machine learning and regression models
Learn about classification algorithms used for predicting categorical outcomes
Explore unsupervised learning techniques to find patterns and reduce complexity in unlabelled data
Learn how to assess model performance using metrics
Apply machine learning concepts by building and deploying a project using Streamlit

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Use cases and practical applications
Understanding and working with language models
Explore Open source, open weight, and closed models
Customizing models for specific tasks
Addressing ethical concerns in AI

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Extracting, transforming, and loading data
Building and managing data flow systems

This capstone project combines an in-depth exploration of SQL, Statistics, and 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

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Introduction to Power BI
Data sources and connections
Data transformation and cleansing
Data modeling and relationships
Measures and calculated columns
Creating hierarchies and custom tables
Introduction to Power BI visualizations
Creating and customizing visuals
Interactive reports and dashboards
Power BI themes and templates
Publishing and sharing reports
Introduction to DAX
DAX functions and syntax
Creating calculated columns and measures
Time intelligence functions
Advanced DAX scenarios

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Data Types
Numerical Measures (Mean, Median, Mode, Variance, Standard Deviation)
Probability
Distributions (Normal, Binomial)
Hypothesis Testing

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Introduction to Excel
Data manipulation, cleaning and formatting
Conditional formatting
Formulas and functions
Pivot tables and charts
Data analysis using Excel

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Basic Exploration
Missing Values
Outliers
Dealing with Skewed data
Data Visualization
Binning
Dummy Variable
Feature Scaling

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Introduction to PySpark and Big Data concepts
Spark Ecosystem and RDD Fundamentals
DataFrames and SQL-like operations in PySpark
Spark Transformations and Actions
Setting up Spark on Google Collab for hands-on learning
Advanced topics: Spark MLlib basics and optimization techniques

Revise essential mathematics content is related

Introduction to R
R studio installation
R data types
Basic Math functions
R vector
Operators
Matrix
Arrays
Regular Expressions
Data Manipulation
Data Visualization
R Markdown
Global Variables

Basics of Cloud Computing and Azure Fundamentals

Basics of Cloud Computing and Azure Fundamentals
Setting up Azure Virtual Machines and Storage
Introduction to Azure SQL Database and Data Factory
Working with Azure Databricks for big data processing
Integration with Delta Lake and Azure Synapse Analytics

Revise essential mathematics content is related

Introduction to Snowflake and its architecture
Snowflake securable DataBase Objects
Access controls
Snowflake SQL commands, DataTypes, and Functions
Snowflake: Batch/Bulk loading
Snowflake: Continuous Loading with snowpipe, Streams, Tasks
Time travel, failsafe, and cloning

Revise essential mathematics content is related

Getting Started with Tableau: Installation and Basics
Creating and Working with Different Chart Types
Data Visualizations with Filters, Hierarchies, and Drilldowns
Creating Dashboards and Stories
Advanced Functions: Parameters, Forecasting, and Relationships

Revise essential mathematics content is related

Understanding how databases store, manage, and retrieve data
Retrieving specific data from tables with filtering conditions
Grouping and filtering aggregated data
Combining rows from multiple tables based on related columns
Embedding queries within other queries to perform complex operations
Performing calculations across rows while preserving the result set
Organizing queries with temporary result sets for better readability and structure

Learn foundational programming concepts
Master the Pandas library for efficient data manipulation, and cleaning
Understand NumPy for numerical computations and work with multi-dimensional arrays
Create informative visualizations using Matplotlib and Seaborn
Apply Exploratory Data Analysis (EDA) techniques to uncover patterns and insights in a real-world dataset

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Understand the basics of machine learning and regression models
Learn about classification algorithms used for predicting categorical outcomes
Explore unsupervised learning techniques to find patterns and reduce complexity in unlabelled data
Learn how to assess model performance using metrics
Apply machine learning concepts by building and deploying a project using Streamlit

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Use cases and practical applications
Understanding and working with language models
Explore Open source, open weight, and closed models
Customizing models for specific tasks
Addressing ethical concerns in AI

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Extracting, transforming, and loading data
Building and managing data flow systems

This capstone project combines an in-depth exploration of SQL, Statistics, and 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 content is related

Introduction to Power BI
Data sources and connections
Data transformation and cleansing
Data modeling and relationships
Measures and calculated columns
Creating hierarchies and custom tables
Introduction to Power BI visualizations
Creating and customizing visuals
Interactive reports and dashboards
Power BI themes and templates
Publishing and sharing reports
Introduction to DAX
DAX functions and syntax
Creating calculated columns and measures
Time intelligence functions
Advanced DAX scenarios

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Data Types
Numerical Measures (Mean, Median, Mode, Variance, Standard Deviation)
Probability
Distributions (Normal, Binomial)
Hypothesis Testing

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Introduction to Excel
Data manipulation, cleaning and formatting
Conditional formatting
Formulas and functions
Pivot tables and charts
Data analysis using Excel

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Basic Exploration
Missing Values
Outliers
Dealing with Skewed data
Data Visualization
Binning
Dummy Variable
Feature Scaling

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Introduction to PySpark and Big Data concepts
Spark Ecosystem and RDD Fundamentals
DataFrames and SQL-like operations in PySpark
Spark Transformations and Actions
Setting up Spark on Google Collab for hands-on learning
Advanced topics: Spark MLlib basics and optimization techniques

Revise essential mathematics content is related

Introduction to R
R studio installation
R data types
Basic Math functions
R vector
Operators
Matrix
Arrays
Regular Expressions
Data Manipulation
Data Visualization
R Markdown
Global Variables

Basics of Cloud Computing and Azure Fundamentals

Basics of Cloud Computing and Azure Fundamentals
Setting up Azure Virtual Machines and Storage
Introduction to Azure SQL Database and Data Factory
Working with Azure Databricks for big data processing
Integration with Delta Lake and Azure Synapse Analytics

Revise essential mathematics content is related

Introduction to Snowflake and its architecture
Snowflake securable DataBase Objects
Access controls
Snowflake SQL commands, DataTypes, and Functions
Snowflake: Batch/Bulk loading
Snowflake: Continuous Loading with snowpipe, Streams, Tasks
Time travel, failsafe, and cloning

Revise essential mathematics content is related

Getting Started with Tableau: Installation and Basics
Creating and Working with Different Chart Types
Data Visualizations with Filters, Hierarchies, and Drilldowns
Creating Dashboards and Stories
Advanced Functions: Parameters, Forecasting, and Relationships

Tools

Python
mysql
Numpy
pandas
matplotlib
seaborn
SKlearn
Pyspark-2
Tensor Flow
Keras
Plotly
Hugging Face

Top Companies hiring

Google Individual 100 x40 Amazon 100 x 40 individual accenture Individual 100 x40 swiggy_100x40_indv Flipkart 100x40 Lowes_100X40 Pepsico100X40 infosys_100x40_individual prolifics-100X40-Individual IBM 100X40 LTIMindtree 100X40 Capgemini_100X40 Individual Vaco Binary semantics 100X40 celebal _200x80 (1) Cotiviti Individual 100 x40 GlobalData 100X40 goldman-1 sutherland100X40

Real-world projects
 to reinforce your learning

project_icons

Personal Finance Tracker

Create a tool to track expenses, visualize spending patterns, and set budget goals, leveraging data analysis and visualization for actionable financial insights.

Industry Best Practices

Procure to Pay

project_icons

Weather Data Analysis and Forecasting

Analyze historical weather data to identify trends and build a predictive model for forecasting, aiding activity planning and climate insights.

Accounting Concept

Industry Best Practices

Excel

SAP

Procure to Pay

project_icons

Health and Fitness Recommendation System

Develop a system that suggests personalized workouts and diets using data analysis and recommendation algorithms to support healthier lifestyles.

project_icons

Local Event Suggestion App

Create an app that recommends local events based on user interests and location using data collection, profiling, and recommendation systems.

project_icons

Taxi Fare Prediction

Predict taxi fares based on variables like trip distance, pickup and drop-off locations, and time of day.

project_icons

Food delivery time prediction

Predict delivery times for food orders based on data like traffic conditions, distance, weather, and restaurant efficiency.

Career Services in a nutshell

Behavioral skills 336X182

Behavioral Skills

Get ready to become a great cultural fit at your workplace. Learn workplace skills from experts.

Interview Preparation 336X182

Interview Preparation

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

Industry Interaction 336X182

Industry Interaction

Engage in multiple interactions and case study discussions with industry professionals.

Placement Support 336X182

Placement Support

Get exclusive access to OdinSchool’s placement portal and placement support.

Job Drives 336X182

Job drives

Attend exclusive job drives to connect with hiring companies and secure career opportunities.

Career Services in a nutshell

Profile Building 336X182

Profile Building

Optimize your resume and LinkedIn profiles to maximize your chances of landing amazing opportunities.

Behavioral skills 336X182

Behavioral Skills

Get ready to become a great cultural fit at your workplace. Learn workplace skills from experts.

Interview Preparation 336X182

Interview Preparation

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

Industry Interaction 336X182

Industry Interaction

Engage in multiple interactions and case study discussions with industry professionals.

Placement Support 336X182

Placement Support

Get exclusive access to OdinSchool’s placement portal and placement support.

Job Drives 336X182

Job drives

Attend exclusive job drives to connect with hiring companies and secure career opportunities.

Rising Demand for analytics and AI skills

Data Analytics Market Growth in India
Data analytics market Growth in India (1)
Top Companies Hiring
Google Individual 100 x40 Lowes_100X40 swiggy 100x40 indv Amazon 100 x 40 individual Flipkart 100x40 accenture Individual 100 x40 Capgemini_100X40 Individual Deloitte__200x80
Demand
case.e9c913d7

35%

Growth in data science jobs from 2021 to 2031 shows how fast this field is growing. This increase highlights the rising demand for skilled data professionals in many industries.

Secure your career with E&ICT Academy's Certification in Data Science & Machine Learning

✅

Earn an invaluable credential to add to your portfolio.

✅

Showcase your Data Science and Machine Learning expertise.

IITG - DS & ML certificate

Meet your mentors!

Prof. Gaurav Trivedi

Prof. Gaurav Trivedi

Professor, E&ICT Academy, IIT Guwahati
Prof. Gaurav Trivedi

Prof. Gaurav Trivedi

Professor, E&ICT Academy, IIT Guwahati

Gaurav Trivedi is a Professor at the Indian Institute of Technology, Guwahati, with over 12 years of experience under his belt. He has been a Principal Investigator at the E&ICT Academy, IIT Guwahati since 2015. His expertise spans Embedded Systems and IoT, High-Performance Computing, Large Scale Optimization, and Machine Learning. 

Previous Companies

Dr. B S A S Rajita

Dr. B S A S Rajita

Lead Faculty at OdinSchool
Dr. B S A S Rajita

Dr. B S A S Rajita

Lead Faculty at OdinSchool

A result-oriented Data Scientist with a Ph.D. in Computer Science and Information Systems from BITS Pilani Hyderabad Campus. Her Expertise spans machine learning, data mining, and information retrieval to solve complex business problems. Rajita has published
15+ peer-reviewed research articles in top international journals.

Previous Companies

Abidunnisa Begum

Abidunnisa Begum

Lead Faculty at OdinSchool
Abidunnisa Begum

Abidunnisa Begum

Lead Faculty at OdinSchool

Former Product strategist at Qunatumics.AI, Abidunnisa has played a key role in building AI products. She is proficient in SQL, Power BI, Python, Machine Learning and AI. A passionate instructor and a Data Science enthusiast, Abidunnisa's expertise lies in translating complex data into actionable insights to drive innovation and business growth. 

Previous Companies

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Dr. Sandeep Singh

Dr. Sandeep Singh

Lead Faculty at OdinSchool
Dr. Sandeep Singh

Dr. Sandeep Singh

Lead Faculty at OdinSchool

Dr. Sandeep Singh is a Ph.D from Florida International University. His domain specialisation is in Public Health. Sandeep  is passionate about teaching and has expertise in statistics, data analysis and python programming. He is committed to fostering a collaborative and engaging learning environment for his students.

Previous Companies

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Mahesh Babu

Mahesh Babu

Senior Instructor at OdinSchool
Mahesh Babu

Mahesh Babu

Senior Instructor at OdinSchool

Experienced Senior Instructor at OdinSchool, specializing in product development for educational solutions in Data Analytics and Data Science. Skilled in curriculum design, technology integration, and guiding students to transition smoothly into Data Science careers. Proficient in SQL, Power BI, Python, Machine Learning, and AI.

Previous Companies

Sangamesh KS

Sangamesh KS

Founder of KS Analytical Consulting
Sangamesh KS

Sangamesh KS

Founder of KS Analytical Consulting

Sangamesh KS is the owner of an analytical firm located in India. With over eight years of experience in market research, business development, and data science, he has played a crucial role in the success of numerous startups in the country. He provides various services, including Microsoft Fabric Solution, Power BI, and other BI solutions.

Previous Companies

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Get started now!

Upcoming Cohort

Fee Structure

Live Online Learning + Certificate

Live Classroom Classes

Live Classroom Classes

Hands-on Learning

Hands-on Learning

Projects

Projects

Career Services

Career Services

In-person

Bootcamp Fee ₹1,25,000

₹1,25,000 + GST

Limited Seats! Book Yours Before They're Gone.

Scholarships & EMI Options Available!

At OdinSchool, we believe that quality education should be accessible to everyone. We offer flexible EMI options and scholarships to support this vision. No cost EMIs available!

Our Financing Partners:

Fee Structure

Live Online Learning + Certificate

Live Classroom Classes

Live Classroom Classes

Hands-on Learning

Hands-on Learning

Projects

Projects

Career Services

Career Services

In-person

Bootcamp Fee ₹1,25,000

₹1,25,000 + GST

Limited Seats! Book Yours Before They're Gone.

Scholarships & EMI Options Available!

At OdinSchool, we believe that quality education should be accessible to everyone. We offer flexible EMI options to support this vision. 

Our Financing Partners:

Possible Career Opportunities

Data Scientist

Data scientists analyze and interpret complex data to help organizations make data-driven decisions. They create predictive models, build algorithms, and use machine learning to extract valuable insights from data.

Machine Learning Engineer

Machine learning engineers design, build, and deploy machine learning models and systems. They are responsible for the technical implementation and scalability of algorithms.

AI Research Scientist

AI researchers focus on developing new algorithms, techniques, and methods to improve AI systems and solve complex problems. They often work in academia or specialized R&D labs.

Data Engineer

Data engineers build and maintain the infrastructure (databases, data pipelines, etc.) necessary for collecting, processing, and storing large datasets that data scientists and analysts work with.

Frequently Asked Questions

The admission process is simple; our counsellors will get in touch with you to review your eligibility. Upon careful evaluation of your profile, your eligibility will be determined. You will be onboarded after successful payment of the course fee.

Yes, upon successfully completing this Certificate Program in Data Science and Machine Learning, you will receive an advanced certification from E&ICT Academy, IIT Guwahati. 

Exclusively for successful learners, the IIT Guwahati campus visit offers an excellent opportunity to meet faculty, connect with peers, and expand your professional network. The visit’s schedule will be determined by IIT Guwahati.

Please note that participation is optional, and learners will be responsible for their own travel and accommodation expenses.

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 this Certificate Course in Data Science and Machine Learning 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.

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