Invite Your Colleague and Save INR 7,500
STARTS ON TBD Application Deadline: TBD
DURATION 26 Weeks Online (4-5 hours/ week)
ELIGIBILITY Any graduate or diploma holder can apply
STARTS ON TBD Application Deadline: TBD
DURATION 26 Weeks Online (4-5 hours/ week)

Programme Overview

Data is an integral part of any modern business. Collating, understanding and analysing data helps you build winning strategies which begets happier customers, stronger growth and content employees. Even in the current climate, the demand for data science professionals is at an all-time high.

The Indian Institute of Technology, Palakkad, in collaboration with Emeritus, has designed the Professional Certificate Programme in Applied Data Science. With a focus on upskilling the participant on Python, the world’s #1 programming language, and Data Engineering, this programme is curated for professionals interested in building a career in Data Science. This is a unique programme which will build your expertise through concepts and real-world cases. This will upgrade your resume and propel your career to new heights.

Emeritus Career Services

Career Services image
  • Past participants of Emeritus work at Microsoft, ICICI Bank, Infosys, HDFC, AirBnB, TCS, Ola, Flipkart, JSW, Wipro, Honeywell, JP Morgan, Reliance Jio, Mahindra, Gartner, Accenture, Cognizant, amongst others

Please note:

  • This service is available only for Indian residents enrolled into select Emeritus programmes.
  • IIT Palakkad 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 Palakkad is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.
  • 2023

    60% of organisations will use analytics tools that are composable.

    (Forbes, 2023)
  • 81%

    Data Leaders say that it remains somewhat to very difficult to hire data and analytics talent.

    (Thoughtspot, 2023)
  • By 2025

    Around 65% of the world's population will be covered by regulations similar to General Data Protection Regulation.

    (Analytics Insight, 2020)

Who is this Programme for?

  • IIT Palakkad's programme in Applied Data Science is for professionals who want to understand the inner working of the world of Data Science to give them an advantage in the market.
  • This programme is ideal for early and mid-level professionals keen to upskill and gain cutting-edge knowledge in Data Science to give them an opportunity to make a career shift or to help them accelerate their careers.
  • Additionally, the Applied Data Science programme is aimed at executives overseeing software development who are looking to equip themselves with an up-to-date understanding in Data Science practices.

Programme Highlights

4 Live Sessions
with Industry Experts

65 Recorded
Video Lectures

12 Assignments* and
12 Discussions

1 Project
and 24 Quizzes

Peer Learning
and Feedback

Dedicated
Programme Support

26-week programme.
4-6 hours of weekly learning effort

4 Live Sessions
with Industry Experts

65 Recorded
Video Lectures

12 Assignments* and
12 Discussions

1 Project
and 24 Quizzes

Peer Learning
and Feedback

Dedicated
Programme Support

26-week programme.
4-6 hours of weekly learning effort

Note: The final number of quizzes, assignments and discussions will be confirmed closer to the programme start.
*Assignments are graded either by industry practitioners who are available to support participants in their learning journey and/or by the Emeritus grading team.

Optional Module Included

Beginner to advanced level
data analysis and visualization

4 hours

Duration

6

Assignments

2

Use Cases

7.5 hours

Assessments

Note:
- All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
- The final number of quizzes, assignments and discussions will be confirmed closer to the programme start.
- *Assignments are graded either by industry practitioners who are available to support participants in their learning journey and/or by the Emeritus grading team.

Learning Outcomes

  • Clean, optimise and interpret raw data using various data engineering tools
  • Solve a real-life classification problem using machine learning tools and techniques
  • Gain mastery over cutting-edge data science tools such as Python and Excel
  • Carry out Social Network Analysis and make recommendations

Programme Modules

Programme Coordinator

Dr. Satyajit Das

Assistant Professor, Computer Science and Engineering

Indian Institute of Technology Palakkad

Dr Satyajit is one of the founding members of the Center for Research and Education in Data Science (CREDS) and Lab for Advanced VLSI and Artificial Intelligence (LAVA) at IIT Palakkad. He earned his joint Ph.D. degree from the University of South Brittany, France, and the University of Bologna, Italy. His research interests are Computer Architecture, AI on Edge, and near-sensor Data Analytics.

Read More

Programme Faculty

Dr. Mrinal Kanti Das

Assistant Professor, Computer Science & Engineering

Indian Institute of Technology Palakkad

Dr. Mrinal Das works in the area of building hierarchical Bayesian models with applications in various domains. He is also actively working in privacy aware learning. His recent area of interest has been in Responsible AI, specially at the intersection of interpretability and deep learning. He obtained a PhD degree in Machine Learning from Indian Institute of Science (IISc) Bangalore in 2016. He was a postdoctoral fellow at Aalto University, Finland and UMass Amherst, USA before joining IIT Palakkad as Assistant Professor in the CSE department in 2017. He has published in top notch venues in ML such as ICML(2), AAAI, ICDM, CIKM, WSDM. He is currently supervising one PhD and two MS students in the area of ML. He has received SERB startup research grants in 2019 to work in ML. He has developed and taught several courses in the area of Data Science for the last four years. He is also actively associated with the Govt. of Kerala for training students in the domain of data science.

Read More

Dr. Sahely Bhadra

Assistant Professor, Computer Science and Engineering

Indian Institute of Technology Palakkad

Dr. Sahely serves as an Associate with the Centre for Research and Education on Data Science (CREDS). She received her PhD from the Indian Institute of Science (IISc) Bangalore. She has more than 10 years of experience working in the broad area of Machine Learning and Optimisation. Her areas of interest lie in multi-view kernel learning from noisy incomplete data with structural properties and extreme event analysis in time series data. Dr. Sahely has published in top venues in ML and bioinformatics such as ICML, JMLR, MLJ, ICDM, Bioinformatics.

Read More

Programme Certificate

Certificate of completion will be awarded to participants who secure a minimum of 40% marks in the end-semester evaluation.

Sample Certificate
Sample Certificate

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

Early applications encouraged. Limited seats are available.

View Payment Plan
Special Corporate Enrolment Pricing

Application Deadline Last Date: TBD

The Learning Experience 

What is it like to learn with the learning collaborator, Emeritus? 

More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course.

A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.

In collaboration with Emeritus

Erulearning Solutions Private Limited (a company incorporated in India) is a subsidiary of Eruditus Learning Solutions Pte Ltd (a company incorporated in Singapore), and operates under the brand name of 'Eruditus' and 'Emeritus'.

DOWNLOAD BROCHURE