STARTS ON December 30, 2023 CLASSES START January 13, 2024 Application Deadline: October 26, 2023 Live Online Sessions
DURATION 1 Year Live Online Sessions 3 hours/ week Saturday 6:45 PM to 09:45 PM
ELIGIBILITY Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognised university in any discipline with a minimum of 1 year of work experience (after graduation) as on December 30, 2023.
STARTS ON December 30, 2023 CLASSES START January 13, 2024 Application Deadline: October 26, 2023 Live Online Sessions
DURATION 1 Year Live Online Sessions 3 hours/ week Saturday 6:45 PM to 09:45 PM

Programme Overview

The Advanced Data Science for Managers programme at IIM Kozhikode is a comprehensive and industry-relevant programme that equips managers with the skills and knowledge they need to drive data-driven decision-making in their organisations.

The programme covers a wide range of topics, including data management, exploratory data analysis, machine learning, and deep learning. It also provides hands-on experience with real-world data sets and projects.

Why enrol in this Advanced Data Science for Managers
Advanced Data Science for Managers
Other Advanced Data Science for Managers (Online via recorded lectures)
All classes are delivered via LIVE ONLINE format by IIMK faculty & industry experts
Executive ALUMNI Status
PEER-TO-PEER learning through weekly interactions with other participants
Accredited institution Dual accreditation No accreditation
Best-in-class curriculum Created by one of India’s premier B-School Created by a non-accredited institution
FLEXIBLE PAYMENT options with multiple instalments
  • USD 230.80 B

    The data science market in India is expected to grow to USD 230.80 billion by 2026, at a CAGR of 27.9%.

    Source: Bureau of Labour Statistics 2022
  • INR 12 lakhs

    The average salary for a data scientist in India is INR 12 lakhs per year.

    Source: Glassdoor 2023
  • 16,500 by 2025

    The number of data science jobs in India is expected to reach 16,500 by 2025.

    Source: Glassdoor 2023

Who is this Programme for?

There’s a growing demand for skilled data science professionals across industries, management levels and job functions. Joining this programme will be most beneficial for:

  • Managers and team leads managing analytics, data science and machine learning projects and teams
  • Business and data analysts looking to transition to data science roles or projects
  • Early-stage professionals interested in enhancing existing skills in data science and analytics
  • Directors, business heads and senior management professionals looking to implement or scale their analytics and data science competency and overall organisational capability
  • Consultants who want to develop a strategic mindset that revolves around business analytics and data science for client projects
  • Small business owners and entrepreneurs who want to utilise analytics and data science to scale their business

Programme Highlights

Develop a data-driven mindset to manage, visualise and analyse data effectively

Hands-on exercises using real-world data sets & R practical sessions

Immersive learning journey with real-world case studies, business decision-related projects & Capstone Project

Taught by eminent faculty & renowned industry experts

Certificate of Completion from IIM Kozhikode, one of India’s Leading B-Schools

Earn Lifelong Executive Alumni Status & networking opportunities

Note:
- 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.

Tools

Tools-Softwares Covered
Tools-Softwares Covered

Note:
The tools will be taught by teaching faculty, industry practitioners, or linked to relevant knowledge bases for your reference and self-guided learning. 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.

Learning Outcomes

  • Gain an understanding of data analysis and structures, and the relationship between data sets
  • Learn to use analytical tools such as R and Python
  • Explore text mining analysis and techniques to understand the influence of social media
  • Learn to use descriptive, predictive, and prescriptive analytics to make real-time, data-driven decisions
  • Gain the skills and knowledge required to manage data science and analytics teams or projects at your organisation
  • Gain an understanding of the tools and techniques used in Data Science and ML for business applications

Programme Modules

  • Data Science - Scope, and Relevance
  • Data Science: Capabilities and Challenges
  • Data Visualisation using Tableau: Basic
  • Advanced Data Visualisation using Tableau
  • Introduction to Python and data types
  • Operations, functions, execution, and data processing
  • Modules, packages, exceptions, and working with files
  • Introduction R - packages, data frames, data types, and functions.
  • Importing, Loading, & Storing data and Writing output from analysis
  • Data aggregation & Data Handling, and Applications of dplyr package
  • Statistical inference, hypothesis testing, one-sample and paired sample t-test
  • Test of proportions, two-sample t-test for difference in means.
  • Chi-square test for goodness of fit of multinomial data, ANOVA
  • Data cleaning and Data transformation
  • Outliers, Binning and data balancing techniques.
  • Using EDA to generate useful insights, uncover anomalous fields & Application of PCA
  • Data visualisation and execution of various types of plots
  • Bivariate and multiple regressions, dummy variable regression, and regularized regressions (RIDGE & LASSO regressions)
  • Supervised vs. unsupervised learning, and understanding/evaluating the model
  • Logistic regression: Bivariate and multinomial logistic regression
  • KNN algorithm for classification and prediction
  • Naïve Bayes Algorithm
  • Support vector machines
  • Decision trees, and Random Forest
  • Bagging and gradient boosting
  • Clustering
  • Affinity analysis and market basket analysis
  • Principal component analysis (PCA)
  • Deep learning, and artificial neural networks (ANN)
  • Reinforced Learning and Introduction to NLP
  • Text analytics: introduction
  • Text mining and sentiment analytics
  • Topic modelling for text data
  • Text modelling: Classification models
  • Time series modelling: Structural time series modelling
  • Exponential smoothing & Holt Winters time series modelling
  • Facebook Prophet/Neural Network time series modelling, and ensemble models
  • Capstone Project / Final Project

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

Programme Director

Prof. Sreejesh S, PhD

Programme Director & Assistant Professor,

Marketing Management

Prof. Sreejesh's primary research interests include marketing analytics, brand management, services marketing, and online marketing & advertising. His publications have appeared in Journal of Brand Management, Industrial Marketing Management...

Read More

Note:
- Programme Directors might change due to unavoidable circumstances, and revised details will be provided closer to programme start date.

Programme Faculty

Prof. Satish Krishnan

Associate Professor Chair,

Information Systems

Read More

Note:
Programme Faculty might change due to unavoidable circumstances, and revised details will be provided closer to programme start date

Programme Certificate

Participants who successfully complete all evaluation components with minimum pass marks and meet the requisite 75% minimum attendance criteria will be awarded a Certificate of Completion from IIM Kozhikode. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a Participation Certificate.

Sample Certificate

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

Past Participant Profiles

Work Experience
Past Participant Experience
Top Industries
  • IT & Communications
  • Banking & Finance
  • Manufacturing & Automobiles
  • FMCG & E-commerce
  • Others#

#Others include Aerospace, Healthcare, Media, Sales, etc.

Top Functions
  • IT & Engineering
  • Finance & Consulting
  • Operations
  • Management
  • Others*

*Others include Sales, Marketing, Teaching, etc.

Top Companies
  • American Express
  • Bosch Ltd
  • Cognizant
  • Dell Technologies
  • Goldman Sachs
  • ICICI Bank

Emeritus India Career Services

Career Services image
  • 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:

  • 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.
  • IIM Kozhikode 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. IIM Kozhikode is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.

Early applications encouraged. Limited seats are available.

View Payment Plan
Loan offered at EMI of INR 8,082
Special Corporate Enrolment Pricing

Round 1: The first application deadline is
Oct 26, 2023 and the fee to apply is INR 1,500 + GST

Round 2: The second application deadline is
Nov 23, 2023 and the fee to apply is INR 2,000 + GST

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'.

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