When will I have access to the lectures and assignments?

You will have access to your onboarding course and all available self-paced content for this Certificate immediately after you enroll and pay. Once the first course officially begins, you’ll be able to ask questions from the teaching team, get feedback on your projects, and work with other peers on group assignments.

Will the certificate be issued by IIT Roorkee?

Yes! The certificate will be issued by Indian Institute of Technology, Roorkee. Click here to see a sample certificate

When are the classes starting?

Classes are starting September 30, 2022. Enrolments will close on September 29, 2022

What will I get if I register for this programme?

Upon successful payment and registration, you will gain access to your onboarding course and all available course materials. Once the program starts, you will gain expert feedback from the program faculty as you work with an elite network of peers towards your goals.

Can I take this programme for free?

No. This programme is available only to learners who have paid for it.

What is the refund policy?

You will have 2 weeks after the start of the first course session to refund your payment.

Is financial assistance available?

Financial assistance is not available at this time for Certificates.

What are the available payment modes?‎

Applicants from India can pay using debit or credit card, net banking, or through EMI. Applicants from outside of India, can pay through debit or credit cards and Paypal.

Certificate

Post Graduate Certificate in Data Science & Machine Learning

Discover the fundamental concepts of data science and machine learning in this series of courses from Indian Institute of Technology Roorkee, one of the top technical institutes in India.

Enrolments are now open

Classes starting September 30, 2022

6 months

6-8 hours per week. May vary by student.

$1,500 (INR 1,12,500)

Explore flexible payment options while enroling.

100% Online

+ Live classes and feedback from faculty.

No application necessary

Top-ranked Institute of National Importance

Learn from a top university in higher technological education, basic and applied research, and engineering

Live sessions and office hours

Learn primarily at your own pace, with doubt clearing sessions and faculty feedback

Real world projects

Showcase your new skills with an applied industry project

Program description

Advance your career with in-demand skills in Data Science and Machine Learning

Required background

No prior coding experience is required to successfully complete this program. You should, however, have exposure to high school mathematics. The course contains reading material and lectures on selected topics which bridge the gap between high school mathematics and the minimum level required to understand and use machine learning algorithms. Knowledge of basic linear algebra, calculus, and statistics will be helpful, and some experience with spreadsheets is recommended.

Skills you will gain

Data Science
Mathematics for Data Science
Python Programming Language
Exploratory Data Analysis
Data Visualisation
Machine Learning

Overview

This Certificate builds a solid foundation in Data Science & Analytics by covering industry standard tools and techniques through a practical, industry-oriented curriculum. You’ll learn competencies in the core focus areas of Data Science, Machine Learning, Mathematics, and Data Visualisation. This program assumes no prior knowledge of coding in Python or R and begins with basic principles.

By the end of the 6-month program, you will have a solid understanding of techniques critical in performing Data Analytics and will be able to create analytical models using real-life data that delivers invaluable insights for your business and career.

5 courses, including capstone project

Course 1 of 5

Programming for AI & Data Analytics

What you will learn

Writing code using common Python & R functionality
Writing code using Pandas and R to work with data and perform data exploration tasks
Preparing, analyzing, and interpreting basic inferential statistics results
Developing code to create insightful visualization using Matplotlib, Pandas, Seaborn, and R

Project(s)

Basic visual and exploratory analysis of a dataset

Type: Programming Assignment

Write code that can be used to perform basic visual and exploratory analysis of a dataset. When the code runs, it will produce the relevant plots, charts and tabular results for basic data analysis.

Overview

In this course, you will learn and develop the necessary knowledge and skills for the most prevalent programming languages in the Data Science domain: Python and R. You will learn Python and R basics, data structures, programming constructs, and how to work with data using key Python packages Pandas, Matplotlib, Seaborn, and R.

Course 2 of 5

Linear Algebra Basics

What you will learn

Creating visualization of various linear transformations
Developing clear understanding of eigenvalues and eigenvectors with applications in ML
How projection operators work to project data in various ML algorithms
Special types of matrices with their important properties
Vector spaces
Vector subspaces
Symmetric and orthogonal matrices

Project(s)

Linear Algebra for ML and Data Analysis

Overview

This course provides all conceptual knowledge from Linear Algebra required in the domain of Data Science and Machine Learning. First, you will be introduced to real vector spaces and then to the linear transformations and their representations in terms of matrices. You will learn the importance of eigenpairs in machine learning and various concepts such as orthogonality and projection.

Course 3 of 5

Foundations of Data Analytics

What you will learn

Statistical techniques required to analyze data
Statistical thinking needed for data analysis
Techniques from multivariable calculus useful in data analytics and machine learning
Optimization algorithms required in machine learning
Gradient Calculus
Testing of hypothesis

Project(s)

Statistical and Calculus techniques for Data Analysis and ML

Overview

This course is divided into two parts. In the first part, you will be introduced to the concepts from probability theory and statistics with strong relevance in machine learning and data science. In the second part, you’ll explore gradient calculus and numerical optimization algorithms like gradient descent, stochastic gradient descent, etc.

Course 4 of 5

Machine Learning Techniques for AI & Data Analytics

What you will learn

Machine learning concepts and lifecycle of a ML project
Dimensionality reduction: Principal component analysis (PCA)
Linear and logistic regressions
Linear and kernel Support Vector Machines (SVM)
Clustering: K-means
Decision Trees
Neural Networks

Project(s)

Machine learning project using scikit-learn

Type: Programming Assignment

Write code using the Python scikit-learn library or R libraries to implement a machine learning project on a benchmark dataset. When the code runs, it will produce the machine learning model for making predictions.

Overview

In this course, you will learn Machine Learning (ML) concepts and algorithms. This course will cover machine learning concepts and popular supervised and unsupervised learning techniques.

Course 5 of 5

Selected projects from Kaggle

Overview

As a data scientist or ML engineer you are supposed to implement the selected machine learning project and compete with your peer-group.

Through this industry style project, you will learn to:-

Adjust to team work environments and gain industry-like experience in a machine learning project
Familiarize oneself with Kaggle platform and understand the objective of the analytics problem in the project
Download data and produce first prototype of the ML model
Experiment with their ML model to improve its performance
Submit the project and share the learnings as a team

Instructors

Frequently asked questions

If you need further assistance, please email coursera_dsml@iitr.ac.in with any questions.

Post Graduate Certificate in Data Science & Machine Learning

Enrolments are now open

6 months

$1,500 (INR 1,12,500)

100% Online

No application necessary

Top-ranked Institute of National Importance

Live sessions and office hours

Real world projects

Program description

Required background

Skills you will gain

Overview

5 courses, including capstone project

Programming for AI & Data Analytics

What you will learn

Project(s)

Overview

Linear Algebra Basics

What you will learn

Project(s)

Overview

Foundations of Data Analytics

What you will learn

Project(s)

Overview

Machine Learning Techniques for AI & Data Analytics

What you will learn

Project(s)

Overview

Selected projects from Kaggle

Overview

Instructors

Frequently asked questions

When will I have access to the lectures and assignments? ‎

Will the certificate be issued by IIT Roorkee?‎

When are the classes starting?‎

What will I get if I register for this programme? ‎

Can I take this programme for free? ‎

What is the refund policy? ‎

Is financial assistance available? ‎

What are the available payment modes?‎‎

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