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Meaningful Marketing Insights

Foundations of Marketing Analytics,

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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Rating 3.6 based on 18 ratings
Length 6 weeks
Effort 5 weeks of study, 2-3 hours/week
Starts Jan 31 (23 weeks ago)
Cost $79
From Emory University via Coursera
Instructor David Schweidel
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Marketing

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What people are saying

some notions introduced

Some notions introduced too fast and with little explanations.

complicated statistical modeling

As someone with a very limited background in statistics, I found the course jumped very quickly from basics to extremely complicated statistical modeling with all the jargon that comes with it.

concepts while breezing

The video lessons drill in on incredibly simple concepts while breezing right over complex terms, formulas, and practical knowledge which is then tested.

cross-reference our methodology/problem

There are no ways to cross-reference our methodology/problem solving in excel.To top it all off, the 'teacher' and assistants are completely non-existent.

distributed eavenly along

In addition it would be nice to have the workload distributed eavenly along the weeks not pushing the most timeconsuming assignments to the last stage.

excel functions used

This course went in depth into some excel functions used for analyzing sales and marketing data, really thought it was useful.

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Rating 3.6 based on 18 ratings
Length 6 weeks
Effort 5 weeks of study, 2-3 hours/week
Starts Jan 31 (23 weeks ago)
Cost $79
From Emory University via Coursera
Instructor David Schweidel
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Marketing

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