Chevron Left
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
8,165 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

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

Filtrer par :

1376 - 1400 sur 1,649 Avis pour Business Metrics for Data-Driven Companies

par Seamus L O

29 juin 2017

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

par Shangmok K

1 déc. 2020

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

par mayank s

12 févr. 2020

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

par Kevin V K

3 oct. 2017

VERY interesting and far better compared to a boring classroom lectures

par Akshay K

18 sept. 2016

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

par Drozhnikov A

24 sept. 2015

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

par Thrupthi P

11 août 2020

Briefly explained and understandable to even a beginner such as myself

par 郎雨

13 oct. 2018

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

par Yiwei Z

11 janv. 2016

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

par Jacob P

28 août 2018

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

par Duy-Cuong T N

6 avr. 2020

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

par Mukul T

5 févr. 2018

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

par Nicholas D

17 mai 2017

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

par Xin Y

23 avr. 2017

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

par Alex C

10 janv. 2017

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

par Pablo V

16 mai 2016

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

par Laura V T T

14 juin 2021

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

par Yongli C

2 oct. 2018

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

par Fernando S F

30 nov. 2020

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

par aferyad

2 déc. 2015

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

par Bryan P

28 juin 2016

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

par Raghav S

8 mai 2020

little bit complicated and fast teaching but practical content

par Gytis G

28 juin 2019

Great course! I found some interesting information! Recommend!

par Chris C

23 juin 2016

Lectures were a bit slow-paced, but the information was great.

par 戴敬芳

13 févr. 2016

Clear to have basic knowledge to know more about data analyst.