Chevron Left
Retour à Digital Marketing Analytics in Practice

Avis et commentaires pour d'étudiants pour Digital Marketing Analytics in Practice par Université de l'Illinois à Urbana-Champaign

3,196 évaluations
699 avis

À propos du cours

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 Practice is the second in a two-part series of complementary courses and focuses on the skills and practical abilities analysts need to be successful in today's digital business world. You will be able to: - Identify the web analytic tool right for your specific needs - Understand valid and reliable ways to collect, analyze, and visualize data from the web - Utilize data in decision making for agencies, organizations, or clients 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

Meilleurs avis


31 août 2020

thoroughly enjoyed the course. A big thanks to Instructor Kevin hartman for this perfectly organized course. Materials were on point and easy to understand. Got entirely new observations on analytics.


7 août 2020

Thoroughly enjoyable "journey" for this course. The syllabus was great, very well structured, thus easy to follow. Each module, including honors, can easily be completed in a day if you have the time.

Filtrer par :

626 - 650 sur 687 Avis pour Digital Marketing Analytics in Practice

par Neda H

8 juil. 2016

not enough practical examples. the information is providede on a bit higher level

par Lipan G

7 juin 2020

Apart from theory some practical lessons in R could have been implemented.

par Nikhil N

8 mai 2018

The nam says theory but it was kind of too much of theory without examples

par Sangeeta D

21 juil. 2020

The course could have had more practical application based assignments.

par Xueyan X

30 avr. 2019

Informative course; messy organization (readings, assignments, quizzes)

par Elsa V

2 oct. 2020

This course explains excellent materials. But no hands-on practice.

par Ashley A

14 nov. 2015

Fruitful course(mainly last few lectures) on data presentation.

par Arvy S

12 févr. 2016

Same as the theory class not much examples or case studies....

par Thomson J

17 févr. 2017

Good course for basic information about digital analytics.

par Luo J

16 févr. 2017

I wished the content and the tests were more challenge.

par Priyanka A m

18 oct. 2020

It was good but expected some more technical aspects

par Harinarayan B

22 juil. 2020

ID verification takes too long. Please look into it,

par Viktor K

6 mai 2020

Not much practice, very primitive examples and tasks

par Kanakavally R

6 mars 2020

It gives an overview of various tools available. But

par Stefan S

3 oct. 2015

Interesting but not much practice despite the title.

par Ye Z

16 nov. 2015

A little too simple and too broad. Overall it's ok.

par Karem O

6 août 2019

More exercises and real practice would be helpful.

par Sebastián Q

26 sept. 2019

Good content, but the course is somehow outdated

par Jorge C

20 févr. 2019

I don't think the example were practical enough.

par Kirsten

22 mars 2018

It's good, but some of the content felt outdated

par Muhammad S A

31 juil. 2020

Too basic. more in depth would have been better

par Apichaya

10 janv. 2016

Good High Level understanding of Analytics

par Gunjan S

29 mai 2020

Please help me out to get the certificate

par Nikhil K

26 oct. 2016

nice but doesnt give you much knowledge

par Renu M

8 août 2017

Repetitive as compared to module 2.