Executive Program in Marketing Analytics and Data Science

Start Date: 23 May 2026 | Early Bird Deadline: 30 Apr 2026 | Register By: 10 May 2026

The program details are listed on https://labinmotion.com –
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Program Overview

This is a definitive course designed to transform your marketing intuition into data-driven power. Marketing decisions have long been using a mixture of intuitive hypotheses and supporting market research data to empirically justify/motivate those actions. Today, every click, every conversion, and every customer interaction generates massive, complex data. The challenge is no longer accessing or storing this data, but translating that data into predictable, scalable business growth. Marketing managers also need to build intuition about the right nature of data for specific inference and tease out confounding factors. This intensive program bridges the gap between marketing strategy and cutting-edge data science, enabling you to harness the true potential of advanced analytics.

This program will equip marketing leaders and professionals with the analytical mindset, tools, and frameworks to harness the power of data science for strategic marketing decisions. It enables participants to understand how data-driven insights can uncover customer behavior patterns, optimize marketing investments, and drive measurable business growth.

By the end of the program, participants will be able to confidently integrate data science principles into marketing strategy and execution, driving smarter, faster, and more customer-centric decisions.

Faculty

Avadhoot Jathar brings Data science experience of over 10 years and currently works as a Senior Data Scientist at the Data Science Team of Kantar. He’s previously worked at Marketing Analytics Consulting firms and has advised several CPG, Hospitality, and Retail clients on various marketing decisions. He has worked on pricing, branding, marketing mix models, category management, customer relationship management decisions using a variety of Classical Machine Learning techniques, probability models and econometric models. Currently, he works on various Natural Language processing and Generative AI-based use cases around customer feedback, reviews and qualitative data in surveys.

He is a Fellow in Quantitative Methods (Doctorate) from the Indian Institute of Management Bangalore. He likes teaching and has previously taught analytics courses/guest lectures at IIM Bangalore, IIM Trichy and IIM Udaipur full-time MBA programs. He has been a regular guest faculty at IIM Bangalore for Analytics/Data Science executive programs.