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Emory University

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 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

状态:Data Manipulation
状态:Pivot Tables And Charts
中级课程小时

精选评论

CI

4.0评论日期: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.

EM

4.0评论日期:Nov 2, 2022

I thought it was very insightful information to know and learn how to manage

AS

5.0评论日期:Jun 8, 2020

A quant driven course. Very well explained with lengthy examples and enough practice material.

S

5.0评论日期: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!

JD

5.0评论日期:Aug 28, 2017

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

TS

4.0评论日期:Mar 31, 2020

Had to adapt some formulas to my Excel version, otherwise. Very clearly explained!

VG

5.0评论日期:Apr 18, 2020

Explained very well. Excellent demonstration of statistical and regression analysis with examples.

MM

5.0评论日期:Nov 11, 2017

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.

ND

4.0评论日期:May 26, 2023

The Course was very helpful for learning the insights of marketing.

EW

5.0评论日期:Aug 22, 2017

This course provided practical hands-on approach to understanding basics of marketing forecasting.

AG

5.0评论日期:Dec 2, 2016

This course is a must for anyone who is serious about learning about data driven marketing and gleaning practical insights.

BO

5.0评论日期:Oct 30, 2020

Challenging but a big help in analyzing market sensitivity.

所有审阅

显示:20/74

Elizabeth Hague
1.0
评论日期:Apr 22, 2019
Christian Kern
1.0
评论日期:May 25, 2018
Waseem Bachnak
2.0
评论日期:Mar 28, 2017
Sofia Giussani
5.0
评论日期:Mar 25, 2020
Harish Krishnan
5.0
评论日期:Jan 3, 2017
Juliana DeMarici
5.0
评论日期:Aug 29, 2017
Aneta
2.0
评论日期:May 5, 2020
Dmytro Vasyliuk
2.0
评论日期:May 22, 2020
Mukund Shastri
1.0
评论日期:May 2, 2020
Omer Erdem
5.0
评论日期:Jul 30, 2019
David Wilson
5.0
评论日期:Nov 1, 2018
Nirmal Hegde
5.0
评论日期:Oct 28, 2020
ZENAN TANG
5.0
评论日期:May 17, 2023
2214_Sahil Singh Ranout
5.0
评论日期:Nov 17, 2023
Melanie Mancía
5.0
评论日期:Nov 12, 2017
Aloka Gunasekara
5.0
评论日期:Dec 3, 2016
Jatin Achint
5.0
评论日期:Sep 1, 2019
Jairo J. Niño Perez
5.0
评论日期:Jun 13, 2017
Vipul Goel
5.0
评论日期:Apr 19, 2020
Elena Wood
5.0
评论日期:Aug 22, 2017