With marketers are poised to be the largest users of data within the organization, there is a need to make sense of the variety of consumer data that the organization collects. Surveys, transaction histories and billing records can all provide insight into consumers’ future behavior, provided that they are interpreted correctly. In Introduction to Marketing Analytics, we introduce the tools that learners will need to convert raw data into marketing insights. The included exercises are conducted using Microsoft Excel, ensuring that learners will have the tools they need to extract information from the data available to them. The course provides learners with exposure to essential tools including exploratory data analysis, as well as regression methods that can be used to investigate the impact of marketing activity on aggregate data (e.g., sales) and on individual-level choice data (e.g., brand choices).
About this Course
Learner Career Outcomes
Learner Career Outcomes
Emory University, located in Atlanta, Georgia, is one of the world's leading research universities. Its mission is to create, preserve, teach and apply knowledge in the service of humanity.
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TOP REVIEWS FROM MEANINGFUL MARKETING INSIGHTS
Sometimes a bit heavy on the math but overall a very good analysis of how data and analytics are applied to real world marketing scenarios. One of the best structured courses I've taken on Coursera.
It was an amazing course. But i found some of the statistical models difficult to understand so needed to go back and review my statistics a bit to grapple with it. Overall, a brilliant course.
Very useful. I highly recommend it. Great Excel exercises, many ways to practice it and learn it. Professor Schweidel is remarkable and makes complicated topics clear and easy!
The last 2 video lectures: Customer Valuation Excel Demonstration and Inventory Management Excel Demonstrationm were very well explained and taught me something new and useful.
About the Foundations of Marketing Analytics Specialization
In this specialization you will learn how to:
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