Invite Your Colleague and Save INR 7,500
STARTS ON December 28, 2022 Application Deadline: December 15, 2022
DURATION 26 Weeks Online (4-5 hours/ week)
PROGRAMME FEE INR 75,000 + GST INR 67,500 + GST (Valid till December 07, 2022) View Payment Plan Special Corporate Enrolment Pricing
ELIGIBILITY Any graduate or diploma holder can apply
STARTS ON December 28, 2022 Application Deadline: December 15, 2022
DURATION 26 Weeks Online (4-5 hours/ week)
PROGRAMME FEE INR 75,000 + GST INR 67,500 + GST (Valid till December 07, 2022) View Payment Plan Special Corporate Enrolment Pricing

Apply between 17th November and 01st December with the code FUTUREYOU10 during payment to avail our festive discount offer.

To ensure that holiday plans on the occasion of Christmas and New Year are not interrupted, no new modules will be released during this time and participants will receive a 2-week extension for submitting assignments. Participants will continue to have access to course material on the platform during this time.

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.
  • 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 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 Office Hours
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

  • Importing a Library
  • Application of Numpy
  • Lists, Tuples and Dictionaries
  • Mutli-dimensional Arrays in Numpy
  • Array Slicing
  • Numpy Functions
  • Importing Excel/CSV Using Pandas
  • Understanding DataFrames - Summary and Info Functions
  • Null Handling Using Pandas
  • Duplication Handling Using Pandas
  • Data Manipulation Using Pandas (Row and Column Operations)
  • User-defined Functions (Apply and Lambda)
  • Group By in Pandas
  • Joins and Merges
  • While and For Loops in Pandas
  • Exporting Data to Excel and CSV
  • Why Data Visualisation
  • Python Libraries for Data Visualisation
  • Plots and Subplots using MatPlotLib
  • Categorical Plots using Seaborn
  • Distribution Plots using Seaborn
  • Introduction to Data Science and Machine Learning
  • Introduction to SciKit Learn
  • Supervised and Unsupervised Learning
  • Linear Regression
  • Logistic Regression
  • K-Means Clustering
  • Tree-based Models
  • 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

Note: It is recommended that learners have practical knowledge of the basics of linear algebra and coding

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: December 15, 2022

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