The Indian Institute of Management Kozhikode (IIMK) in collaboration with Eruditus Executive Education has designed a quintessential programme in Advanced Data Analytics for Managers. The Professional Certificate Programme in Advanced Data Analytics for Managers is an intensive, 6-month, multi-modular programme that will equip participants with in-depth skills of making real-time, data-driven business decisions.

The Professional Certificate Programme in Advanced Data Analytics for Managers will provide a comprehensive set of software, tools and techniques and frameworks required to understand data structure, data visualisation, pre-processing of the data, and basic skill-set of data modelling. The learning journey of 6-months include live-online sessions with renowned faculty at IIM Kozhikode and global faculty at Eruditus.


  • Get an in-depth understanding of data structures and data analysis
  • Enhance your analytical skills and make real-time, data-driven business decisions
  • Gain the skills and knowledge required to manage data science and analytics teams at your organisation
  • Get the managerial expertise of the tools & techniques used in Data Science and Machine Learning
  • Become proficient in building machine learning models using R and Python


Professional Certificate Programme in Advanced Data Analytics for Managers - Certificate Click to view certificate


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    Coming Soon


    6 Months
    (Live-online sessions)


    INR 1,10,000 + GST

Who is this Programme For

  • Graduate (10+2+3) from any stream or any Diploma Holder from any recognised university
  • Minimum working experience of 1 year
  • For Diploma holders minimum 3 years of work experience

Programme Modules & Faculty


  • Basics of R & Python, understanding of the
    environment, getting data, and managing data
  • Managing data structure & understanding of various data manipulation techniques
  • Understanding various visualisation tools, packages for data visualisation
  • Preparing the data, and getting it ready for data analysis
  • Hypothesis testing versus exploratory data analysis, getting to know the data set, exploring
    categorical variables
  • Statistical inferences & basic univariateand multivariate statistical techniques
  • Supervised versus unsupervised methods, statistical methodology and data mining methodology
  • Various classification tools, decision tree, random forest, neural networks for estimation and prediction
  • Hierarchical Clustering Methods, k-Means Clustering, Birch Clustering, Measuring Cluster Goodness, Affinity Analysis and Market Basket Analysis
  • Web analytics, web-scrapping, google analytics, social media analytics (Twitter and Facebook), and lexicon analysis


Dr Anandakuttan B Unnithan
Dr Anandakuttan B Unnithan

Professor (Marketing)

Dean (Academic Affairs & Development)

Dr Anandakuttan B Unnithan obtained his PhD degree in Marketing from Cochin University of Science and Technology, Kochi, Kerala. He has extensive experience of two decades as a business educator, researcher and administrator. Currently, he is a Professor of Marketing Management and Dean (Academic Affairs and Development) at the Indian Institute of Management Kozhikode. His research interests include consumer behaviour, services marketing, and advertising. His publications have appeared in leading journals in marketing, advertising, and other business disciplines. He has consulted with major corporations and government agencies and is actively engaged in executive education and management development programs.

 Dr Sreejesh S
Dr Sreejesh S

Assistant Professor

Marketing Management

Dr Sreejesh S is currently working as Assistant Professor, Marketing Management at the Indian Institute of Management Kozhikode, Kerala, India. His main research interests include brand management, services marketing, online marketing & advertising. His publications have appeared in the leading journals of marketing, such as European Journal of Marketing, Industrial Marketing Management, Computers in Human Behavior, Journal of Travel and Tourism Marketing, Marketing Intelligence and Planning, International Journal of Contemporary Hospitality Management, Internet Research, etc. In addition to the chapter contributions in books and case study developments, he has also authored books of international repute with Pearson India and Springer International.

Programme Fee

Dates Length Location Tuition Fees
Coming Soon 6 Months Live-online sessions INR 1,10,000 + GST
Deadline Application Fee
Round 1 Feb 10, 2020 INR 1,500 + GST
Round 2 Mar 10, 2020 INR 2,000 + GST
Round 3 Apr 10, 2020 INR 2,500 + GST
Remarks Instalment Amount
Booking Amount (including Study Material) + Instalment 1 Within 7 days post selection INR 70,000 + GST
Instalment 2 Jul 20, 2020 INR 40,000 + GST

Student Loan Details

Loan Amount Available Tenure (months) EMI
INR 1,29,800 30 INR 4,886


  • The above EMI’s are indicative. The EMI’s offered by each of the loan providers might vary from the above figures, depending upon tenure and loan amount to be disbursed.
  • Other EMI tenures available (Months):
    Propelld: 6/12/18/24/30/36/42/48
    Eduvanz: 12/24/36/48

Please visit Students Loans and Financing for details on how to avail a student loan.


This programme includes live online classes. To attend a live online class you will need to have a PC/Laptop/Mac with

  • Speakers and microphone: built-in or a USB plug-in or wireless Bluetooth
  • Webcam: built-in or USB plug-in
  • Processor: with Dual Core 2Ghz or higher (i3/i5/i7 or AMD equivalent)
  • RAM: 4 GB or higher
  • OS: Either MacOS 10.7 or higher OR Windows 8 or higher
  • An internet connection: Minimum bandwidth of 3.0 Mbps (up/down)
  • Browser: IE 11+, Edge 12+, Firefox 27+, Chrome 30+
  • Zoom software client installed on your PC/Laptop/Mac

We use the Zoom software application to conduct live online classes. Zoom works on a variety of PCs/Laptops/Mac systems and also on phones and tablets. You can join your live online class from a phone or tablet if it supports the Zoom client. We recommend that you attend classes from a PC/Laptop/Mac.