ColumbiaX: BAMM.104x
This repo contains all my work for Course Marketing Analysis of the MicroMasters Business Analytics
As a CS minor student of IIT Kharagpur and a long-time self-taught learner, I have completed many CS related MOOCs on Coursera, Udacity, Udemy, and Edx. I do understand the hard time you spend on understanding new concepts and debugging your program. Here I released these solutions, which are only for your reference purpose. It may help you to save some time. And I hope you don't copy any part of the code (the programming assignments are fairly easy if you read the instructions carefully), see the quiz solutions before you start your own adventure. This course is almost the simplest marketing course I have ever taken, but the simplicity is based on the fabulous course content and structure. It's a treasure given by Columbia University team.
Marketers want to understand and forecast how customers purchase products and services and how they respond to marketing initiatives.
Learn how analytics help businesses drive marketing to maximize its effectiveness and optimize return on investment (ROI).
In this course, part of the Business Analytics MicroMasters program, discover how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact for:
customer relationship management; market segmentation; value creation; communication; monetization. You will learn how to use probabilistic models and optimization tools to model customer demand forecasts, pricing sensitivity, Lifetime Value and how to leverage such data to make optimal decisions on designing new products, marketing segmentation and strategy.