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

4.6
étoiles
8,131 évaluations
1,670 avis

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

AS

11 juin 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.

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

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1551 - 1575 sur 1,637 Avis pour Business Metrics for Data-Driven Companies

par Shannon S

8 janv. 2021

I wish the class went slower through the business metrics, showing more how to calculate and more examples.

par Quji B

19 janv. 2021

The course is very short and has a small content. Final assignment doesn't have a straightforward grading.

par Govind S

5 mars 2016

A very useful course for budding professionals. Wouldn't recommend this to middle managers / data experts.

par Felix M M

2 sept. 2016

Very good course, only 1 BIG disadvantage: you cannot take the quizzes unless you buy the certificate...

par Tim D

4 déc. 2016

Interesting enough, good start to the specialization but not the most content for a standalone course.

par Michael F A

3 avr. 2020

the data is very important but it needs much practical explanation and the tools used is not enough

par Dheeraj H

4 avr. 2018

Good for beginners but the 3rd week is not explained in a clear way. Instructor was too hasty.

par luciana

7 mars 2016

I had a hard time finding material to study.

I wish the class had more reading material.

par Adriano J d N

28 févr. 2016

Good introduction to the Theme. Some subjects was not entirely connected between weeks.

par Huiquan L

18 nov. 2015

not much is taught here but I guess should be a good beginning for the specialization.

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