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Bewertung und Feedback des Lernenden für Business Metrics for Data-Driven Companies von Duke University

8,009 Bewertungen
1,656 Bewertungen

Über den Kurs

In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data. You’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs. Finally, you will be able to use a checklist provided in the course to score any company on how effectively it is embracing big data culture. Digital companies like Amazon, Uber and Airbnb are transforming entire industries through their creative use of big data. You’ll understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies....


11. Juni 2020

It is a business centred course that will help you understand the most important metrics. It includes comprehensive glossaries and lectures that will help you in the process and a lot of case studies.

2. Nov. 2018

really good bases for business metric if you already have a background you are going to enjoy and refresh you memory and if you don't have previous experiences is really easy to understand the concept

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1351 - 1375 von 1,622 Bewertungen für Business Metrics for Data-Driven Companies

von Nikhil S

26. Mai 2020

If we have some basic knowledge of the glossary, then the course is brilliant

von Sai K

27. Juli 2018

Very well explained course with lots of examples to understand case in point.

von Gabriel B

18. Sep. 2017

Great course to understand the use of this subject for business improvements!

von Weizhe

27. Dez. 2017

Very informative difficulty level is just suitable for entry level viewers.

von Seamus L O

29. Juni 2017

Great course! I would recommend it to anyone interested in data analytics.

von Shangmok K

1. Dez. 2020

The course was very interesting. Also good introduction to Data Metrics.

von mayank s

12. Feb. 2020

Great course.The course has really helped me to understand the structure.

von Kevin V K

3. Okt. 2017

VERY interesting and far better compared to a boring classroom lectures

von Akshay K

18. Sep. 2016

Excellent course to get an insight of Data related tasks and profession

von Drozhnikov A

24. Sep. 2015

Pretty good course. Good professional speaker. But to common ,aterials.

von Thrupthi P

11. Aug. 2020

Briefly explained and understandable to even a beginner such as myself

von 郎雨

13. Okt. 2018

Basic framework is clear and useful. But more details will be helpful.

von Yiwei Z

11. Jan. 2016

Good introduction to business metrics, but not enough practical stuff.

von Jacob P

28. Aug. 2018

This is a good overview of the business analytics/data science field.

von Duy-Cuong T N

6. Apr. 2020

Practical course with insightful case study, well-delivered lecture.

von Mukul T

5. Feb. 2018

A well structured course, delivered in an easy-to-understand manner.

von Nicholas D

17. Mai 2017

Enjoyed the course, well put together with use of practical examples

von Xin Y

23. Apr. 2017

it's better to explain more about financial glossaries in the video.

von Alex C

10. Jan. 2017

Very informative and a good start to continue on to the next courses

von Pablo V

16. Mai 2016

Maybe a little more of application activities but overall very well!

von Laura V T T

14. Juni 2021

V​ery intuitive to follow, real-world examples and easy to complete

von Yongli C

2. Okt. 2018

A very helpful introduction to the common metrics used in business!

von Fernando

30. Nov. 2020

Very interesting course. I am eager to enter the Excel adventure.

von aferyad

2. Dez. 2015

very useful course for me as a data analyst in a website company

von Bryan P

28. Juni 2016

Introductory course, perhaps a little too light on the details.