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Meaningful Marketing Insights

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...

By David Schweidel on Coursera

About This Course

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). To successfully complete the assignments in this course, you will require Microsoft Excel. If you do not have Excel, you can download a free 30-day trial here: https://products.office.com/en-us/try

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Frequently Asked Questions

How much does Meaningful Marketing Insights cost?

Visit the Meaningful Marketing Insights course page for current pricing and available discounts.

Who teaches Meaningful Marketing Insights?

Meaningful Marketing Insights is taught by David Schweidel, Emory University.

What skill level is Meaningful Marketing Insights for?

This course is designed for beginner learners.

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Students0
Duration3 hours
LevelBeginner
Languageen
PlatformCoursera