IIT Madras Pravartak’s Data Analytics in Retail & E-commerce

By user Categories: B2B, Data Science, IIT Madras
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About Course

IIT Madras Pravartak’s Data Analytics in Retail & E-commerce is developed to help participants appreciate the applications of data analytics in the retail industry. The programme aims to help participants understand that data for retail analytics can come from various sources, including point-of-sale (POS) systems, customer loyalty programmes, online transactions, social media, and more. The objective is to empower participants pose and solve relevant problems by applying pertinent machine learning algorithms, the use of no code platforms, and Python programming.

What Will You Learn?

  • Gain a fundamental understanding of the different types of data available for analysis in the retail industry.
  • Be introduced to analytical tools and technologies used for analysing retail data.
  • Be able to perform Exploratory Data Analysis to discover patterns and trends from data.
  • Be able to apply customer segmentation techniques to create value for targeted customers.
  • Be able to strategise merchandising and retail initiatives by optimising product offerings.
  • Be able to improve customer retention rates by optimizing the overall consumer experience.

Course Content

Module 1: Introduction

  • Introduction
  • Introduction to Python
  • Introduction to Pandas & Numpy
  • Data Visualization
  • Introduction to Tableau

Module 2: Analytics from Business Perspective

Module 3: Analytics from Customer and Marketing Perspective

Module 4: Capstone Project

Case Studies

Tools