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Learner Reviews & Feedback for Meaningful Marketing Insights by Emory University

4.3
stars
276 ratings

About the 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...

Top reviews

R

Nov 16, 2023

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S

Mar 25, 2020

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!

Filter by:

26 - 50 of 72 Reviews for Meaningful Marketing Insights

By William B

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Aug 13, 2019

Excellent lectures and content throughout the course.

By Monique S

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Aug 21, 2018

Helpful, practical assignments and tutorials.

By Arjun S

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Oct 19, 2018

an excellent start to marketing analytics

By Saragirley U H

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Jun 23, 2021

Was a great oportunitty for learning.

By Lubana A

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May 29, 2020

A lot of excel exercises to learn.

By Riccardo C

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Dec 31, 2020

Good and hands on training

By Ramil N

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Dec 24, 2020

It was a useful course

By JM

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Jul 11, 2019

Useful and Insightful

By Phalya J

•

Nov 23, 2023

BEST COURSE IN WORLD

By Sejan R 2 C

•

Jul 12, 2018

I love this course.

By Fairoos N

•

May 29, 2020

Very good course

By Mahdi T C

•

Jul 13, 2018

love this course

By Abhay S

•

Sep 28, 2023

Abhay Singh

By PARVANEH

•

Sep 26, 2020

EXCELLENT!

By Taranpreet K

•

Oct 16, 2023

thank you

By Ansh G

•

Oct 17, 2023

Great

By Jimmy A

•

Sep 12, 2021

good

By Sundus J

•

Jan 3, 2021

good

By Christine M

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Jun 24, 2017

I would have liked more discussion of theory behind what the formulas were and, actually, using slicers for data so that clients couldn't "break" the file unintentionally. Otherwise, it was a good basic course, a little too dependent on showing Excel rather than saying why something worked (IF clauses are a good example here, cutting and pasting formulas is not as helpful to my personal learning style as just explaining the rationale behind them.)

By Darya Y

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Oct 21, 2016

The content is extremely valuable and was delivered in a very good way fully engaging the learners!

One thing I would improve in future is the time assessment for the assignments and reading - some took me way longer than suggested and others way shorter. 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.

By Asma A

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Aug 21, 2019

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.

By D G

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Feb 20, 2024

It is interesting, it has good explanations and really usefull assigments. It would be useful some upgrades and clarifications on the course lectures.

By Cherigui I

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Jul 16, 2020

Instructive, sometimes the teachers jumps several steps ahead without evident reason or refers to concepts that he didn't introduce in the course.

By Steffen M

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Mar 13, 2017

Great content and examples. Sometimes, the theoretical background could be explained more comprehensively in the lectures.

By Isabelle P

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Dec 22, 2016

Some notions introduced too fast and with little explanations. Overall very interesting and applicable.