Invite Your Colleague and Save INR 19,500
STARTS ON December 30, 2022 Live Online Sessions Academic Orientation: Jan 14, 2023
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, 2022.
STARTS ON December 30, 2022 Live Online Sessions Academic Orientation: Jan 14, 2023
DURATION 1 Year Live Online Sessions 3 hours/ week Saturday 6:45 PM to 09:45 PM

Programme Overview

In today’s dynamic business landscape, the ability to drive corporate strategy and business decisions through data-driven insights leads to market leadership and gives organisations a competitive edge. Increasingly, the integration of data science and analytics is proving to be a game-changer for businesses across industries. Organisations are seeking to gain revenue-generating insights from data and build future strategies for business growth.

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

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

Tools

Tools-Softwares Covered
Tools-Softwares Covered

Note:
- R will be the primary tool for Data Science
- Tableau will be the primary tool for Data Visualisation

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
  • 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 Handeling, 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)
  • Web Performance Analytics, and Google analytics
  • Optimal publisher strategy and complete copy improvement analysis in online platforms
  • Allocating resources between offline and online media
  • Introduction to social media analytics
  • Social network analysis (SNA) and generating social network metrics
  • Advanced SNA concepts using NodeXL and Gephi
  • Introduction to text analysis using WordArt, LIWC, and Weka
  • Deriving informative insights by combining social network and text analyses

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

Programme Director

Prof. Sreejesh S, PhD

Programme Director & Assistant Professor,

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
  • Career Management Modules on:
    • Building an Impressive Resume & Cover Letter
    • Building an Impressive LinkedIn Profile
    • Navigating Job Search
    • Interview Preparation
  • 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.
  • 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 Lucknow 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 6,063
Special Corporate Enrolment Pricing

Round 1: The first application deadline is
Nov 2, 2022 and the fee to apply is INR 1,500 + GST

Round 2: The second application deadline is
Nov 30, 2022 and the fee to apply is INR 2,000 + GST

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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