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 | Jul 3 (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 | Jul 3 (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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