Professional Certificate Programme in Advanced Data Science for Managers

Certificate

Intermediate

This IIM Kozhikode programme empowers participants with advanced skills in data science and machine learning, enhancing their ability to make real-time, data-driven business decisions.

GET PROGRAMME BROCHURE

Submit your details below to learn more about the course curriculum, benefits, fee, flexible payment options and more.

Start Date
30 December 2023

Classes Start: January 13, 2024 Apply by October 26, 2023

Programme Fees
₹1,95,000 + GST
Programme Duration
1 Year Live Online Sessions

3 hours every Saturday 6:45 p.m. to 09:45 p.m.

Apply Your Learning via
Capstone Project
Proactive Career Management via
Emeritus India Career Services

Programme Overview

The IIM Kozhikode Professional Certificate Programme in Advanced Data Science for Managers equips team leads, managers, and business heads with essential tools for data utilisation. Topics encompass data management, exploratory data analysis, machine learning, and deep learning. The curriculum focuses on industry readiness for a data-driven future, covering areas like data tracking, packaging, transformation, visualisation, and more. It also provides hands-on experience with real-world data sets and projects. The programme is taught by a team of experienced faculty and industry experts, and it is delivered in a blended format that includes online modules and live virtual sessions.

Real-World Expertise

Case studies, tools, and business decision-related projects

Hands-On Exercises

Real-world data sets and R practical sessions

Capstone Project

Apply learnings from the classroom via a real-world capstone project

Alumni Status

Lifelong executive alumni status

Certificate of Completion

From one of India's leading B-schools, IIM Kozhikode

Dual Accreditation

EQUIS and AMBA

Eligibility

 
  • Graduates (10+2+3) or Diploma holders (only 10+2+3) from a recognised university (UGC/AICTE/DEC/AIU/State Government/recognised international universities) in any discipline
  • Candidate should have a minimum of one-year of work experience (after graduation or diploma) as of the programme start date, i.e., December 30, 2023

Who is This Programme 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

Career Opportunities

 
  • Data Scientist
  • Data Analyst
  • Business Analyst
  • Data Engineer
  • Data Architect
  • Infrastructure Architect
  • Business Intelligence Analyst

Top Skills You Will Learn

 
  • Data-Savviness
  • Data Science and Analytics
  • Machine Learning Algorithms
  • Managerial Skills
  • Project Management

Certificate by IIM Kozhikode

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

Globally Renowned IIM Kozhikode Faculty

Learn from eminent faculty who bring a blend of theory and practice to create a dynamic learning experience.

Prof. Sreejesh S, PhD

Programme Director and Assistant Professor, Marketing Management
Prof. Sreejesh's primary research interests include marketing analytics, brand management, services marketing, and online marketing and advertising. His publications have appeared in the Journal of Brand Management, Industrial Marketing Management, European Journal of Marketing, Computers in Human Behaviour, Journal of Travel and Tourism Marketing, International Journal of Contemporary Hospitality Management, Internet Research, Journal of Product and Brand Management, Journal of Service Theory and Practice, International Journal of Bank Marketing, etc.

What you will learn

check iconText mining analysis and techniques

to understand the influence of social media

check iconDescriptive, predictive, and prescriptive analytics

to make real-time, data-driven decisions

check iconIndepth understanding of data analysis

and structures, and the relationship between data sets

check iconSkills and knowledge required to manage

data science and analytics teams or projects at your organisation

Key Learning Tools

IIM Kozhikode Advantage

About the Institute

The Indian Institute of Management Kozhikode (IIM Kozhikode) ranks 15th in the Asia Pacific and #101+ globally in the QS World University Global Executive MBA Rankings 2020. Since its inception, IIM Kozhikode has carved its niche in management education by offering online certification courses that are a judicious blend of academics and real-world practice.

Ranked #3
Ranked #3

NIRF India Rankings 2023: Management

EQUIS + AMBA
EQUIS + AMBA

Double accreditation

Ranked #2
Ranked #2

Atal Innovation Rankings (ARIIA), 2021

1st in Asia
1st in Asia

Pioneer interactive learning via satellite delivery

Student Benefits

  • IIM Kozikhode Executive Alumni Status
  • Networking Opportunities With Peers From Across Industries
  • Learn From Leading Faculty and Industry Experts

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 and 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
Case Studies, Tools, and Business Decision-Related Projects

Real-World Data Sets and R Practical Sessions

Apply Learnings From the Classroom via a Real-World Capstone Project

Lifelong Executive Alumni Status and Networking Opportunities

Certificate of Completion From One of India's Leading B-Schools, IIM Kozhikode

Taught by Eminent Faculty and Renowned Industry Experts

Where Emeritus Learners Work

sbi ibm kotak kpmg icici

Programme fees

Total Fees ₹1,95,000 + GST

Total Payable ₹1,95,000 + GST

*Note - 18% GST applicable on total payable amount

Apply by 26 October 2023

Apply Now

Emeritus Advantage

Personalised Mentorship

Personalised Mentorship

Enhanced learning by expert industry practitioners

Programme Support

Programme Support

A dedicated team available 7 days a week for query-resolution

Immersive Learning Platform

Immersive Learning Platform

Learn via high-quality curriculum, assignments, and case studies