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Online Course

Marketing Analytics

Indian Institute of Technology, Kharagpur and NPTEL via Swayam

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9-Month Online Diploma in Digital Business MIT Sloan & Columbia Business School Executive Education via EMERITUS AD

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Overview

The students of this course should have already attended Marketing Management and Introduction to Business Analytics. Therefore we expect them to know basics of marketing and business analytics tools. In this course we will combine various concepts of marketing and business analytics in storytelling and problem solving. Real life marketing problems are often solved through a sequence of quantitative approaches. Identifying that sequence in the context of various marketing problems is important. This course will help the students in building the same.   Learning Objectives: We expect that the students of the course will be able to do the following at the end of the course: • Identify a marketing problem as a sequence of small questions • Identify the appropriate tools and datasets required to solve each small research question • Properly apply the various available tools and choose the best one • Create a marketing story out of the statistical and machine learning tools applied • Solve a marketing analytics project end to end   Pedagogy: The pedagogy will be based on the 30 hrs video of multiple modules. Students are expected to read the material provided, and actively take part in the discussion forums. We will have hands on training in the class.       INTENDED AUDIENCE : Management PREREQUISITES : Marketing Management and Basic Knowledge of R Programing INDUSTRY SUPPORT : All analytics companies

Syllabus

COURSE LAYOUT Week 1 : Introduction to R Programing Week 2 : What customers want?: Customer value, Conjoint Analysis Week 3 : Analytics for customer segmentation and targeting Week 4 : Demand Forecasting & Pricing Week 5 : Pricing Week 6 : Marketing Mix Models and Advertising Models Week 7 : Recommender System Week 8 : Market Basket Analysis and RFM Analysis Week 9 : Customer Churn & Customer Lifetime Value Week 10 : Text Mining and Sentiment Analytics Week 11 : Text Mining and Product Innovation Management Week 12 : Social Network Analysis for Marketing

Taught by

Prof. Swagato Chatterjee

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