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

3,240 évaluations

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


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.


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.

Filtrer par :

226 - 250 sur 695 Avis pour Digital Marketing Analytics in Practice

par Kim P U

24 sept. 2020

Clear topics and explanations. Well-prepared slides and transcripts

par Ethan S C

18 juil. 2018

Excellent view of the applications for Digital Marketing Analytics.

par Michiel D H

17 juil. 2016

Very insightful, a great combo of theory and practical information.


25 juin 2020

very nice course to understand the Digital Marketing & its basics.

par Gulnaz B

30 déc. 2019

Love it! All materials are easy to catch and practice right there.

par Rushabh D

6 avr. 2020

Really good course with a lot of relevant and useful information.

par Israa M R

19 août 2018

i have huge knowledge from this course i will use it in my career

par Jay R

17 juil. 2017

It's a very well structured course. I really enjoyed the journey!

par Marcos F

10 août 2021

complete information and data to increase my professional skills

par Alexandre R

30 juin 2019

Excelente curso. Realmente as aulas ensinam a prática. Parabéns

par Karolina K

11 juil. 2017

This course was indeed very good - informative and challenging.

par avishek m

14 janv. 2016

Very useful and lucidly taught by a very learned person. Thanks

par Kerwin R F

11 oct. 2021

Great class. with relevant information. I enjoyed this course

par Cesar S

27 juil. 2020

Excellent tools to analyze data. But the course is too short.

par Shalabh D

17 mai 2020

Very relevant for Marketers across B2B and B2C organizations.

par mubasher a

9 oct. 2020

This is what everyone needs to take before starting analysis

par Ozair I

29 oct. 2022

Informative and the best in Marketing. Highly recommended!

par Vishwas N

13 avr. 2022

one of the best course top level of understanding course

par Carmen C

1 oct. 2015

Very practical, clear concepts and very useful information

par Carolyn G

21 mars 2022

A well done course, from one of the experts in the field!

par Chris E D

10 mai 2020

Fantastic course! I'm already applying what I've learned.

par 武利鑫

12 août 2016

very useful ,thank your very much . I will learn it again

par Md A R S

27 août 2020

Learn new things about digital analytics.

I'm satisfied:)

par x

5 juin 2020

Good course from an experienced, real world perspective.

par Rafay Z

7 sept. 2021

A great course that provides steady base for analytics