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学生对 University of Illinois Urbana-Champaign 提供的 Digital Marketing Analytics in Theory 的评价和反馈

4.5
4,809 个评分

课程概述

Successfully marketing brands today requires a well-balanced blend of art and science. This course introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily. Digital Analytics for Marketing Professionals: Marketing Analytics in Theory is the first in a two-part series of complementary courses and focuses on the background information and frameworks analysts need to be successful in today's digital business world. This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/....

热门审阅

AS

Jan 22, 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.

VB

Apr 16, 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.

筛选依据:

176 - Digital Marketing Analytics in Theory 的 200 个评论(共 1,165 个)

创建者 Andriy S

Mar 23, 2016

Excellent content, narration could have been clearer and felt there was a bit of an overload of information in the lectures - could have been broken down into chunks.

创建者 Victória C

Feb 12, 2017

This course was essential to my knowledge about digital marketing and I very happy to had complete it! Thanks for the opportunitie and congrats Kevin, youre awesome!

创建者 Jeffrey W

Jun 17, 2019

Great Course. I have learned a lot. Kevin did great job to explain the fundamentals and also provide many references to read which is equally important. Thank you!

创建者 Leonardo C G

Jun 4, 2018

The course is excellent, the teachers are extremely talented, didactic, superior to many face-to-face courses, and with quality approval from Illinois university.

创建者 Melissa D

Mar 14, 2017

Loved this course. It really opened my eyes to the power of analytics and practical ways to apply the information gathered to my work. Thanks for a great class!

创建者 Jyothsna

Dec 15, 2020

The subject is covered by Kevin Hartman so precisely that I would love to have a far more comprehensive course led by him, replete with case studies etc

Engaging!

创建者 Rishikesh B T

Jun 2, 2020

Brilliant course! Prof. Hartman explains everything with the help of brilliant graphics that justify the data he presents. Moreover it is a very precise course.

创建者 Shravani J

Mar 21, 2020

I liked this course. Videos & Materials are quite enriching. I will like to thank coursera for providing good quality education and insights in my home itself.

创建者 Alexx B

Mar 1, 2021

I think the topics and discussions for this class were well laid out and digestable. I personally got a lot out of this class and look forward to the next one!

创建者 Eka W

Aug 16, 2024

Thank you for the many new experiences and understandings that I got from this course and thank you also to the organizers for this extraordinary opportunity.

创建者 Suraj B

Apr 2, 2020

Exceptionally delivered! Got the real insights for the practice. Looking forward to completing all the courses in the specialization. Thank you Kevin Hartman!

创建者 Steven E

Apr 26, 2020

This course represented a very good introduction to data analytics in the marketing world. It is well structured and provided me with very useful information

创建者 Mohammed S

Apr 26, 2017

This course gives you the foundation of digital marketing and analytics. I strongly recommend it for beginners as will as intermediate and advanced students.

创建者 Marcos M

Sep 2, 2015

Great introductory course! Well explained and engaging. It doesn't go too deep in the subject but provides a lot of out source material for you to dive into.

创建者 Barnendra M C

Jul 28, 2019

Great course content. Never felt like I was into an alien subject vene though I'm not from marketing background. Well paced course for working professionals

创建者 Hugo

May 1, 2021

Try this course. Is short but extremely valuable. Its a great tool to understand hoe Data driven strategies are the building blocks for digital marketing.

创建者 ruben d f

Nov 27, 2020

I really liked this course it would be cool if they could add more reading material. And somehow practice interactively the process viewed on this course.

创建者 Rehman Z

Jun 26, 2020

Many Thanks for offering such a nice course. I have learned a lot through this course about data analytics as well as decision making for business growth.

创建者 Bob S

Mar 7, 2016

Great intro into analytics. The required reading is woefully outdated, but still gives good basic info that one can then build upon with more recent data.

创建者 sivabharath

Nov 13, 2016

One of the best course in this Specialization. Gained lot of Insights through this course, enjoyed completely. Having been part of the course was happy.

创建者 Jitendra C

Jun 2, 2016

A very well detailed course on marketing analytics and various tools available at disposal of a marketing professional for data collection and analysis.

创建者 Olayinka A

Nov 2, 2020

I love Professor Kevin's way of delivering his lecture, it helps put everything into a seamless mode and a better way of understanding everything said.

创建者 Лещин М

May 7, 2018

Отличный курс. Подойдет для тех, кто уже имеет опыт работы в Digital Marketing. Дает структурированные знания, которые тут же можно воплощать в работе.

创建者 Susana M

Feb 6, 2017

Excellent intro to Analytics! I loved this course and wish to know more about this particular topic. The instructor approach and tips were very useful.

创建者 Amilcar J L R

May 28, 2021

This second course as well as the first one has excellence in both content and explanation by the teacher. Thank you very much for the excellent work.