Certificate Programme in "Data Science & Machine Learning" (Batch 9)
Features
Programme Overview
The Indian Institute of Technology Delhi (IIT Delhi) presents a comprehensive six-month online Certificate Programme in Data Science & Machine Learning (DSML). This industry- oriented programme equips you with the expertise to transform data into actionable insights and build powerful predictive models. Master sought-after skills in data manipulation, analysis, and machine learning algorithms, including Python programming, statistics, deep learning, and data visualisation. Whether you're a working professional seeking to upskill, a graduate aiming to stand out, or an individual passionate about data analysis, this programme is designed for you. As machine learning adoption continues to grow rapidly across industries, DSML is evolving from just focusing on predictive models toward a more democratized, dynamic and data- centric discipline. In FY23, the public funding for the digital India mission increased by 67% to reach US$1.29 billion (Rs. 10,676 crore). This mission involves a plan for the effective use of Data Science and AI to promote financial inclusion, supplement the education sector, and transform the urban infrastructure. Source: IBEF 2023
Registration Closed
Class Schedule
Duration: 6 Months
Live Online Sessions: Jan 19, 2025, Sunday, 10 AM to 1 PM
Eligibility Criteria
Graduates (10+2+3)/ Diploma Holders ( 10+2+3 or higher) from a recognised university in any discipline as on December 24, 2024. A minimum score of 50% in mathematics/statistics, in 12th Examination.
Programme Highlights
Learn From The Faculty Of IIT Delhi, One Of India's Leading Engineering School
Experience High-impact Live-learning And Assess Real-world Case Studies
Gain Structured Industry-oriented Insights, And Work On Real-world Datasets
Participate In Peer-to- Peer Learning, And Expand Your Professional Network
Receive An Industry- Recognised Certificate From CEP, IIT Delhi
Programme Modules
Fundamentals of Python*
Fundamentals of Mathematics - Linear Algebra/Probability
Measures and Descriptors of Data, Distributions, and Estimation
Basics of Databases
Exploratory Data Analysis
Hypothesis Testing and Evaluation
Self-learning Project: Evaluating Channel Effectiveness by Using Hypotheses
Data and Information Systems
Storytelling with Data
Designing Business Dashboards
Self-learning Project: Visualising Mutual Funds and Stocks
Optimisation Formulations
Gradient and Search-Based Optimisation for Machine Learning
Linear, Quadratic, and Nonlinear Programming
Multi-objective and Multi-Criteria Decision-Making - Evolutionary Tools
Self-learning Project: Multi Objective Optimisation in Stock investments
Regression and Derivatives
Trees and Random Forests
Boosting Techniques
Clustering – Hierarchical K-means Clustering
Dimensionality Reduction: PCA
Self-learning Project: Predicting Customer Churn
Deep Feedforward Neural Nets
Convolutional Neural Nets
Long Short-Term Memory (LSTM) Networks
Introduction to Transformers and Attention Mechanisms
Explainable AI
Self Learning Project: CNN Model for Land Use
VAEs, GANs and Diffusion Models
Introduction to LLMs
Applications of Generative AI
Self Learning Project: Generative AI
Learning Outcomes
Build predictive models using neural networks and time series data forecasting models
Gain hands-on experience in machine learning algorithms, the statistical models behind them and the applications of ML
Develop an in-depth understanding of popular methods like regression, clustering, decision trees and deep learning
Learn optimisation formulations to minimise errors and build accurate models
Tools
Python
AI
Machine Learning
MS Office
SQL
Programme Coordinator
DR HARIPRASAD KODAMANA
Associate Professor, Department of Chemical Engineering
Joint Faculty, School of AI, Indian Institute of Technology Delhi
Dr Hariprasad Kodamana is a PhD from IIT Bombay, where he received the Institute Award for Excellence in PhD thesis. His research interests include machine learning, optimisation, model-based control, fault detection and diagnosis. His research work has been published in various notable international peer-reviewed journals and presented in leading conferences.
DR AGAM GUPTA
Assistant Professor, Department of Management Studies
Associate Faculty, School of AI, Indian Institute of Technology Delhi
Dr Agam Gupta is a fellow of the Indian Institute of Management Calcutta (IIM Calcutta). His research areas include platform ecosystems, digital marketing, computational social science, and complexity. He has taught various courses on data visualisation and data mining. His research work has featured in reputed international journals and conferences proceedings.
DR MANOJKUMAR RAMTEKE
Professor, Department of Chemical Engineering
Associate Faculty, School of AI, Indian Institute of Technology Delhi
Dr Manojkumar Ramteke is a PhD from the Department of Chemical Engineering, IIT Kanpur. He has also worked as a scientist at the Institute of Chemical and Engineering Sciences (ASTAR), Singapore. His research work is focused on multiobjective optimisation of process applications, scheduling and planning of chemical processes, control of chemical processes, novel meta-heuristic and Machine Learning algorithms, and DNA computing and bio-sensors.
Programme Sample Certificate
Participants will be awarded a successful completion certificate from IIT Delhi on scoring at least 50% marks on aggregate in any two out of three quizzes, need to satisfactorily complete a group project, and maintaining a minimum attendance of 70%. Participants who are unable to maintain 50% marks in the evaluation components, but have a minimum attendance of 85% shall be awarded a participation certificate.
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of IIT Delhi. The organising department of this programme is IIT Delhi Yardi School of Artificial Intelligence. Sample e-certificate to be issued by CEP IIT Delhi are shown above.
Installment Schedule
Programme Fee: 1,50,000+GST
Installment | Installment Date | Amount (₹) |
I | Within 7 days of the offer rollout | ₹ 15,000+GST |
II | 6th January, 2025 | ₹ 37,500+GST |
III | 15th February, 2025 | ₹ 52,500+GST |
IV | 6th April, 2025 | ₹ 45,000+GST |
Note:
GST @ 18% will be charged extra in addition to the fee.
Refund Policy
Candidates can withdraw within 15 days from the Programme Start Date. A total of 80% of the total fee received will be refunded. However, the applicable tax amount paid will not be refunded on the amount paid.
If you wish to withdraw from the programme, you must email cepaccounts@admin.iitd.in and iitd.execed@emeritus.org, stating your intent to withdraw. The refund, if applicable, will be processed within 30 working days from the date of receiving the withdrawal request.
Testimonials
Frequently asked questions
IIT Delhi’s Data Science and Machine Learning Programme is a comprehensive online certification programme designed to equip learners with in-depth knowledge of data science, machine learning, artificial intelligence, and related technologies.
This programme is best suited for:
Early and mid-level Professionals interested in gaining a relevant and cutting-edge perspective on data science and ML for better career prospects.
Professionals who oversee software development and machine learning projects with a keen interest in developing a data-driven decision-making approach and those looking to apply data science and ML to enhance their business growth.
Yes, IIT Delhi's Data Science and Machine Learning (DSML) Programme integrates data science, machine learning (ML), and artificial intelligence (AI) as interconnected fields. These disciplines complement each other to analyse and derive insights from large datasets. While each field serves unique purposes and employs different methods, this programme covers all three, enabling you to gain a holistic understanding and practical expertise.
Yes, Python is a key component of the Programme covering data manipulation, analysis and machine learning. Fundamentals of Python will be taught via recorded sessions. The faculty will be conducting Q/A on the same.
Key topics include:
Python for Data Science.
Statistics and Data Science Fundamentals.
Machine Learning Algorithms.
Artificial Intelligence and its Applications.
Data Visualisation and Big Data Analytics.
Advanced Data Science and AI concepts.
While the programme focuses on skill-building, it will offer networking opportunities and career support to help participants advance their careers. While job placement assistance will be available to all registered learners, the primary focus will be on candidates with 0-5 years of experience. The job placement assistance will extend for 3 months from the start date of the programme.