OVERVIEW

From Netflix to Google, world-renowned companies have multiplied their business growth with Data Science and Machine Learning (ML) applications, guided by a data-driven approach to decision-making. According to Analytics Insight (2020), around 77% of devices that we presently use are utilising ML. To ensure business's future-readiness in today's digital era, organisations need skilled talent to leverage data science and ML's exponential potential for automation, effective decision-making, and competitive advantage.

To meet this demand, the Indian Institute of Technology Delhi (IIT Delhi) has designed the six-month online Certificate Programme in Data Science & Machine Learning. This high-impact programme will help you draw on the expertise of IIT Delhi's renowned faculty in an immersive industry-oriented learning pedagogy to build robust predictive and prescriptive models with hands-on experience in ML algorithms and statistical models. Become industry-ready with an in-depth understanding of in-demand data science and machine learning tools and techniques with Python.

PROGRAMME HIGHLIGHTS

- Learn from one of India's Leading Engineering Schools
- Experience high-impact, live online learning and explore real-world case studies
- Gain industry-oriented insights from eminent IIT Delhi faculty
- Participate in peer-to-peer learning and expand your professional network
- Receive an industry-recognised certificate in Data Science & Machine Learning from IIT Delhi

KEY BENEFITS

  • Build predictive models using neural networks and time series data forecasting models
  • Develop an in-depth understanding of popular methods like regression, clustering, decision trees and deep learning
  • Gain hands-on experience in machine learning algorithms, the statistical models behind them and the applications of ML
  • Learn optimisation formulations to minimise errors and build accurate models

CERTIFICATE

Certificate Programme in Data Science & Machine Learning - Certificate Click to view certificate

    GET PROGRAMME INFO?

    • STARTS ON

      30 June 2021

    • DURATION

      6 Months
      (Live Online Sessions
      Every Sunday: 12:15 PM to 3:15 PM)

    • PROGRAMME FEE

      INR 1,25,000 + GST

    Who is this Programme For

    Whether you’re an early-career professional or mid-level manager, explore cutting-edge Data Science and ML tools and techniques in this program, specially curated for:


    • Early professionals who seek to build a career in Data Science/ Machine Learning or upskill themselves for better career prospects
    • Current and aspiring data, software, and IT professionals interested in gaining a relevant and cutting-edge perspective on data science & ML
    • Consultants looking to build their expertise or upskill themselves in Data Science & ML for better client management
    • Senior managers and business heads who oversee software development and machine learning projects with a keen interest in developing a data-driven decision-making approach
    • Entrepreneurs and business owners who want to apply data science and ML to enhance their business growth
    • ELIGIBILITY: Graduates (10+2+3)/ Diploma Holders (only 10+2+3) from a recognised university in any discipline
    • PREREQUISITE: Participants with a background of 10+2 mathematics, or course completion in statistics at UG level are preferred

    Programme Modules & Faculty

    syllabus

    • Fundamentals of mathematics – linear algebra/ probability
    • Fundamentals of Python
    • Measures and descriptors of data
    • Distributions
    • Estimation
    • Exploratory data analysis
    • Hypothesis testing and evaluation
    • Optimisation formulations
    • Gradient and search-based optimisation for machine learning
    • Linear, quadratic, nonlinear, and mixed integer programme
    • Multi-objective and multi-criteria decision-making – evolutionary tools
    • Regression and derivatives
    • Trees and random forests
    • Support vector machines
    • Clustering – mixture models, hierarchical k-means clustering
    • Dimensionality Reduction: PCA, TSNE
    • Deep feedforward neural nets
    • Convolutional neural nets
    • Time series data models – ARX, ARMAX, ARIMA & ARIMAX models
    • Long short-term memory (LSTM) networks
    • Data and Information Systems
    • Storytelling with Data
    • Designing Business Dashboards


    Note: Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the total programme hours.

    PROGRAMME COORDINATORS

    Dr Hariprasad Kodamana
    Dr Hariprasad Kodamana

    Assistant Professor Department of Chemical Engineering

    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
    Dr Agam Gupta

    Assistant Professor Department of Management Studies

    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
    Dr Manojkumar Ramteke

    Associate Professor Department of Chemical Engineering

    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 Fee

    Dates Length Location Tuition Fees
    June 30, 2021 6 Months Live Online Sessions
    Every Sunday: 12:15 PM to 3:15 PM
    INR 1,25,000 + GST
    Deadline Application Fee
    Last Date to Apply Mar 18, 2021 -
    Shortlisted Candidates Will Be Informed by Mar 20, 2021 -
    Last Date to Submit the Fee Mar 27, 2021 -
    Remarks Instalment Amount
    Booking Amount Mar 27, 2021 INR 20,000 + GST
    Instalment 1 Apr 1, 2021 INR 30,000 + GST
    Instalment 2 Jun 1, 2021 INR 45,000 + GST
    Instalment 3 Aug 1, 2021 INR 30,000 + GST

    Student Loan Details

    We currently do not offer Student Loans for this programme. However, we are working on providing an option and will alert you as soon as it is made available.

     

    Note: Applications will be reviewed based on eligibility and subsequent shortlisting process as laid down by the Programme Coordinators.
    All fee should be submitted in the IIT Delhi CEP account only, and the receipt will be issued by IIT Delhi CEP account for your records.

    APPLICATION & SYSTEM REQUIREMENTS

    APPLICATION REQUIREMENTS

    Graduation and Post-Graduation Education:

    • Higher Secondary (10+2) Marksheet
    • Passing Certificate – Diploma/ Degree/ Doctorate

    Experience Documents (If Applicable):

    • For Previous Organisation(s): Relieving letters
    • For Current Organisation: Current Salary Slip or Bonafide Certificate from the HR department on company letterhead

    ID Proof:

    • Any Government-issued photo ID like PAN Card/ AADHAAR Card, Driving License/ Passport, etc.

    SYSTEM REQUIREMENTS TO ATTEND A LIVE ONLINE CLASSES

    This programme includes live online classes. To attend a live online class you will need to have a PC/ Laptop/ Mac with

    • Speakers and microphone: built-in or a USB plug-in or wireless Bluetooth
    • Webcam: built-in or USB plug-in
    • Processor: with Dual Core 2Ghz or higher (i3/ i5/ i7 or AMD equivalent)
    • RAM: 4 GB or higher
    • OS: Either MacOS 10.7 or higher OR Windows 8 or higher
    • An internet connection: Minimum bandwidth of 3.0 Mbps (up/ down)
    • Browser: IE 11+, Edge 12+, Firefox 27+, Chrome 30+
    • Zoom software client installed on your PC/ Laptop/ Mac

    We use the Zoom software application to conduct live online classes. Zoom works on a variety of PCs/ Laptops/ Mac systems and also on phones and tablets. You can join your live online class from a phone or tablet if it supports the Zoom client. We recommend that you attend classes from a PC/ Laptop/ Mac.