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Retour à Business Metrics for Data-Driven Companies

Avis et commentaires pour d'étudiants pour Business Metrics for Data-Driven Companies par Université Duke

4.6
étoiles
8,171 évaluations

À propos du cours

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....

Meilleurs avis

AC

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

K

29 déc. 2021

I recommend this course to any one who is interested in Data science and it's applications in Business The course is well-Organized, Easy to understand and the professor has Excellent Teaching Skills

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1576 - 1600 sur 1,652 Avis pour Business Metrics for Data-Driven Companies

par Addie J

26 mai 2020

The third week seemed like random content and did not go with the rest of the course.

par Daniel C

26 oct. 2015

Sometimes it seems very "mechanic". The instructor is clearly reading a script.

par Sergei S

18 oct. 2020

there are a lot of descriptive tasks in this course and less quantitative ones

par Aleksander J

16 févr. 2018

I expected some more. I hope in following courses it would be more compelling

par Weiliang P

29 déc. 2015

The course title is a bit misleading. There were too much math in the course.

par Olga P A

11 juin 2018

I thought it would be more practical with formulas for different business.

par Steph L

2 mai 2016

I feel like more examples, case studies, or panel interviews would help.

par maxwell b

1 févr. 2016

Solid introduction - slightly disjointed and fairly boring presentation.

par Colin M

22 sept. 2017

Course content doesn't really become relevant until the next course

par Alfonso F

7 mai 2017

Very entry level course. Expected a deeper treatment of the subjet.

par Karthik S

17 déc. 2017

Good insights on some industries, but content overall lacks rigor.

par Job M

10 oct. 2016

It's very general information. The explanation movies are great.

par José M P Á

11 avr. 2016

It's a great introductory course, although a bit superficial.

par Akshita D

21 juin 2020

The lectures can be explained a bit slowly and in detail.

par Yohann B

6 févr. 2016

good, but no material and lack of structure

par Marcos D B

20 févr. 2017

Content was a bit shallower than expected.

par eshank

4 sept. 2016

good but the tests can be better planned.

par Jason T

12 juin 2017

The course was within expectations. No

par Pitch S

26 oct. 2015

Comprehensive and general techique

par Shady D

18 févr. 2016

Great introduction to the Subject

par Ronald B

11 avr. 2016

Well done, but lite on content.

par ZUOQI X

29 janv. 2022

for students enrolled in 2022.

par rajrajeshwar m

17 juil. 2021

Great Course and instructor

par Subhash

19 avr. 2020

Feels somewhat Boring!!!!

par Robert N

23 déc. 2015

Meh. It was just okay.