STARTS ON March 31, 2022 Live Sessions With Faculty
DURATION 26 Weeks Online (4-5 hours/ week)
ELIGIBILITY Any graduate or diploma holder can apply
STARTS ON March 31, 2022 Live Sessions With Faculty
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 Eruditus, 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.

As part of the programme, you will also get access to Eruditus Career Services, which empowers you to manage your career proactively.

Eruditus India Career Services

Career Services image
Career Services image
  • Three 90-minute workshops from career management industry experts
  • Job placement assistance from partner companies are published, applied to, and tracked to success via an online platform (offered in partnership with Superset)
  • Eruditus alumni 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 Eruditus programmes.
  • IIT Palakkad or Eruditus 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 Eruditus. IIT Palakkad is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.
  • 2020

    saw a huge demand for data science jobs with as many as 2,50,000 being vacant.

    (Quanthub, 2020)
  • In 2021,

    92% organisations report that their pace of Big Data / Al investment is accelerating, up 40% from 2020.

    (New Vantage Partners Executive Survey, 2021)
  • By 2025,

    The Data Science and Analytics industry is expected to be worth 16 billion USD.

    (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 Office Hours
with Faculty

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 Office Hours
with Faculty

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

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

  • Probability - Joint, Conditional, Marginal
  • Probability Distributions
  • Univariate Analysis
  • Bivariate Analysis
  • Multivariate Analysis
  • Sample and Population
  • Sampling Techniques
  • Sampling Size Calculations
  • Correlation, Covariance and Interquartile Ranges
  • Inferential Analysis-Hypothesis Testing
  • Introduction to Data Science
  • Working with Data Types and Operators in Python
  • Writing Functions in Python
  • Popular Data Science Packages in Python
  • Advanced Functions
  • Data Manipulation and Analysis with Pandas
  • Data Visualization with Matplotlib
  • Random Variables and Statistical Inferences
  • Statistical Distributions and Hypothesis Testing
  • Data Cleaning
  • Exploratory Data Analysis
  • Getting Started with Linear Algebra for Machine Learning
  • Data Engineering
  • Data Storage
  • Data Visualization
  • Classification and Decision Trees
  • Linear and non - linear regression
  • Evaluating Data Models
  • Time series analysis forecasting
  • Clustering Models
  • Exploratory Data Analysis
  • Topic Model
  • Text Analysis
  • Social Network Analysis

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.

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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.

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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.

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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 MDI.

Early applications encouraged. Limited seats are available.

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Special Corporate Enrolment Pricing
In collaboration with Eruditus
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