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返回到 市场营销专业人士所需的数字分析:理论市场分析

學生對 伊利诺伊大学香槟分校 提供的 市场营销专业人士所需的数字分析:理论市场分析 的評價和反饋

3,059 個評分
674 條評論


Learn the introductory theory and strategy behind marketing analytics that provides marketers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. This course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and



Apr 17, 2018

Well, this is great course since I did it online, but the material well covered and the lecturer give clear and interesting material through video. I will take another course after this. Thank you.


Jan 23, 2020

I really enjoyed this course. I liked the professor's teaching style as well as the materials the course provided. All the knowledge I've got from the course helps me when I do research online.


626 - 市场营销专业人士所需的数字分析:理论市场分析 的 650 個評論(共 660 個)

創建者 Tanaisha P

Jan 13, 2019

Very average, I don't like the way it was taught

創建者 Andrew S

Mar 10, 2016

This was a good course, but a bit elementary.


Aug 29, 2019

Good theory, may need to be updated soon.

創建者 David D

May 14, 2016

sometimes is dense, a little bit boring


Nov 07, 2016

Was Super Boring Course Im sorry.

創建者 Ashley A

Oct 19, 2015

Great informative course

創建者 Hrishikesh P D

Apr 03, 2018

Good course it is!

創建者 DavaaSukh T

Jun 11, 2018

Too much reading

創建者 Danilo J d C J

Aug 07, 2016

Good basics


Jul 14, 2017

Good !

創建者 Samik D

Oct 16, 2017



創建者 Kristina K

Dec 30, 2015

The course introduces some basic concepts but fails to deliver on the objectives set out in the initial module description by barely listing out most topics through a very narrow, linear approach instead of delivering an actual in-depth explanation and commentary on the subject. Some more advanced learners will also find some tools to be out-of-date and some areas - very Google-focused.

創建者 Angela H

Sep 21, 2016

I felt like this course was too repetitive. Basically, all I learned were from readings and textbooks. Video lectures were repeats from those contents. I did learn useful tools for web analytics, but I wish the instructor put some of his original insights rather than presenting articles written from other people.

創建者 José R H P

Mar 11, 2019

It was a step back after the excellent Marketing in a Digital World. It felt slower and a lot of thing presented her are your standard “Digital Marketing Tips” you could find in any blog.

創建者 Z'leste W

Dec 07, 2015

Provides a comprehensive overview, however it is heavily lecture based. Would be nice if more interactivity was built in, via pop-up questions during the lectures and practice problems.

創建者 Mirelle N

Jun 26, 2017

There's a too long list of texts to read while the videos are too short and redundant. I felt as if I was just reading texts that some friend has sent me...

創建者 Mayara

Feb 13, 2017

Material is outdated and course assignments failed to challenge thinking and encourage critical engagement with the content provided.

創建者 Deval A V

Mar 04, 2020

The course material is outdated. Although new learners will get some idea about basics, it is nowhere close to updated as per 2020!

創建者 Massimiliano C

Sep 24, 2019

It's a good course at the content level, but too theoretical. It might be nice to introduce hands-on phases along the course.

創建者 Obaid F

Mar 13, 2019

I am not very clear on the objective of the course, I also find it ambiguous in terms of what its trying to achieve.

創建者 Dmytro K

Jul 12, 2019

Poorly prepared course, unfortunately very disappointing compared to the first course in the specialization.

創建者 Teru W

Aug 27, 2015

It's a very introductory class, only works for newbies of digital marketing.

Maybe it's a good start point.

創建者 Maged N S E

Jul 28, 2017

A lot of amazing info ...

Thank You so much coursera team for this great info !

創建者 Panagiota S

Oct 08, 2016

too many information just to be said.

創建者 Zeinab S S

Jan 18, 2018

Im not into analytics at all