Batch 8

Certificate Programme in Data Science & Machine Learning

Discover Untapped Potential of Your Business with DS and ML

Country/Region
Qualification
Work Experience

Application Deadline: June 27, 2024

Programme Overview

The Indian Institute of Technology Delhi (IIT Delhi) presents a comprehensive six-month online Certificate Programme in Data Science & Machine Learning. This industry-oriented program equips you with the expertise to transform data into actionable insights and build powerful predictive models. Master the 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. The Indian analytics industry is predicted to escalate to USD 98 billion in 2025 and nearly USD 119 billion in 2026. Currently, the demand for data scientists is at an all-time high in India. Analysts have predicted around 11 million job openings in data science by 2026 in India alone. According to Analytics Insights, India will capture 32% of the big data market worldwide and generate USD 20 billion by 2026.

Programme Highlights

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Learn from the faculty of IIT Delhi, one of India's Leading Engineering School

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Experience high-impact live-learning and appreciate real-world case studies

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Gain structured industry-oriented insights and work on real-world data-sets

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Participate in peer-to-peer learning and expand your professional network

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Receive an industry-recognised Certificate from IIT Delhi

Note:

  • The primary mode of learning for this programme is via live online sessions with faculty members. Post session video recordings may or may not be made available, at the discretion of faculty members. Emeritus or the institute does not guarantee availability of any session recordings.

  • The programme highlights presented above are approximate, and subject to change depending on the availability and expertise of the teaching faculty, as well as the program's desired outcomes.

Who is this Programme for?

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

Programme Modules

Note:

  • Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the total programme hours. Case studies, real world examples and numerical illustrations are an integral part of multiple modules included in the course.

  • Emeritus or the institute does not guarantee availability of any session recordings.

  • The primary mode of learning for this programme is via live online sessions with faculty members. Post session video recordings will be made available, at the discretion of faculty member.

Self Learning Projects

Hands-On Self Learning Projects

Hands On learning

Capstone Project: A capstone project in Data Science and Machine Learning serves as the culmination of theoretical knowledge and practical skills acquired throughout the program. It typically involves solving a problem using data-driven techniques and advanced algorithms. Students engage in various stages of the project lifecycle, including exploratory data analysis, model selection and training, and evaluation. The project offers an opportunity to demonstrate proficiency in programming languages like Python, statistical analysis, machine learning algorithms, and data visualization techniques. This activity is carried out in groups and students pick one of the three four contexts given to them.

Tools Covered

Note: All product and company names mentioned in this material are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.

Programme Coordinators

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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, optimisat...

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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 socia...

LP - IITD DSML - DR MANOJKUMAR RAMTEKE
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...

Note:

  • Programme Coordinators might change due to unavoidable circumstances, and revised details will be provided closer to the programme start date.

Programme 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 90% shall be awarded a participation certificate.

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Note:

  • All certificate images are for illustrative purposes only and may be subject to change at the discretion of IIT Delhi.

  • Only e-certificate will be issued by CEP IIT Delhi.

  • The organising department for this programme is the Department of Management Studies.

  • Emeritus or the institute does not guarantee availability of any session recordings.

  • We encourage you to attend all the live sessions and make the best out of these interactive learning experiences. Post-session video recordings will be made available, at the discretion of faculty member.

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

Note:

  • Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the total programme hours. Case studies, real world examples and numerical illustrations are an integral part of multiple modules included in the course.

  • The primary mode of learning for this programme is via live online sessions with faculty members.

  • Post session video recordings may or may not be made available, at the discretion of faculty members. - Emeritus or the institute does not guarantee availability of any session recordings.

Participant Testimonials

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IITD DSML B8 T6

Past Participant Profiles

Work Experience
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Top Industries
  • BFSI

  • Consulting

  • FMCG

  • IT Services

  • Manufacturing

  • Others*

*Others include Bioinformatics, Education, Healthcare, Infrastructure, Renewable Energy, and Travel, amongst others.

Top Functions
  • Consulting

  • Engineering

  • Finance

  • Manufacturing

  • Technology Management

  • Others*

*Others include Education, Engineering, Finance, IT Services, and Operations amongst others.

Emeritus Career Services

  • 15 Recorded sessions and resources in the following categories:

    • Resume and Cover Letter

    • Navigating Job Search

    • Interview Preparation

    • LinkedIn Profile Optimisation

    • Job Placement Assistance

  • Job Placement Assistance

    • Job openings are sourced by the CS Team and the virtual hiring drives are conducted for the applicants.

    • Dedicated online portal for all candidates where they can apply for jobs & track past applications.

    • Weekly job postings.

Please note:

  • IIT Delhi or Emeritus do NOT promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. IIT Delhi is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.

  • This service is available only for Indian residents enrolled into select Emeritus programmes.

  • Opportunities for those with more than 5 years of experience may be more challenging due to the emphasis on transitioning to leadership positions within their current firms.

Last Date to Apply: June 27, 2024
Last Date to Submit the Fee: July 04, 2024

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available.

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