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Kursteilnehmer-Bewertung und -Feedback für Digital Marketing Analytics in Practice von University of Illinois at Urbana-Champaign

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2,906 Bewertungen
626 Bewertungen

Über den Kurs

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. Students will learn to identify the web analytic tool right for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data from the web; and utilize data in decision making for agencies, organizations or clients. 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. 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 onlinemba.illinois.edu....

Top-Bewertungen

TC
31. Aug. 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.

JJ
7. Aug. 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.

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201 - 225 von 611 Bewertungen für Digital Marketing Analytics in Practice

von Kim P U

24. Sep. 2020

Clear topics and explanations. Well-prepared slides and transcripts

von Ethan S C

18. Juli 2018

Excellent view of the applications for Digital Marketing Analytics.

von Michiel D H

17. Juli 2016

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

von ABHIJEET R

25. Juni 2020

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

von Gulnaz B

30. Dez. 2019

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

von Rushabh D

6. Apr. 2020

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

von Israa M R

19. Aug. 2018

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

von Jay R

17. Juli 2017

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

von Alexandre R

30. Juni 2019

Excelente curso. Realmente as aulas ensinam a prática. Parabéns

von Karolina K

11. Juli 2017

This course was indeed very good - informative and challenging.

von avishek m

14. Jan. 2016

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

von Cesar S

27. Juli 2020

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

von Shalabh D

17. Mai 2020

Very relevant for Marketers across B2B and B2C organizations.

von mubasher a

9. Okt. 2020

This is what everyone needs to take before starting analysis

von Carmen C

1. Okt. 2015

Very practical, clear concepts and very useful information

von Chris E D

10. Mai 2020

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

von 武利鑫

12. Aug. 2016

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

von Md A R S

27. Aug. 2020

Learn new things about digital analytics.

I'm satisfied:)

von Paul M

5. Juni 2020

Good course from an experienced, real world perspective.

von Akhilraj R

24. Sep. 2020

Excellent Instructor, reading maerials, course content.

von VAISHALI B

18. Sep. 2020

It was good course for me and i learn many things here.

von Alain Y

10. Aug. 2020

The instructor was knowledgeable. I have learned a lot!

von Guardigli G

10. Okt. 2017

very interesting material and relevant to my daily work

von Jionghui J H

28. Okt. 2015

Good Class,I like the meterials they recommand so much.

von Chintan S

19. Juli 2020

Nice insights about different tools for data analysis.