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Business Metrics for Data-Driven Companies(으)로 돌아가기

듀크대학교의 Business Metrics for Data-Driven Companies 학습자 리뷰 및 피드백

7,170개의 평가
1,474개의 리뷰

강좌 소개

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....

최상위 리뷰


Nov 03, 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


Jun 12, 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.

필터링 기준:

Business Metrics for Data-Driven Companies의 1,439개 리뷰 중 1376~1400

교육 기관: Weiliang P

Dec 29, 2015

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

교육 기관: Olga P A

Jun 11, 2018

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

교육 기관: Steph L

May 02, 2016

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

교육 기관: maxwell b

Feb 01, 2016

Solid introduction - slightly disjointed and fairly boring presentation.

교육 기관: Colin M

Sep 22, 2017

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

교육 기관: Alfonso F

May 07, 2017

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

교육 기관: Karthik S

Dec 17, 2017

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

교육 기관: Job M

Oct 10, 2016

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

교육 기관: José M P Á

Apr 11, 2016

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

교육 기관: Akshita D

Jun 21, 2020

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

교육 기관: Y. B

Feb 06, 2016

good, but no material and lack of structure

교육 기관: Marcos D B

Feb 20, 2017

Content was a bit shallower than expected.

교육 기관: eshank

Sep 04, 2016

good but the tests can be better planned.

교육 기관: Jason T

Jun 12, 2017

The course was within expectations. No

교육 기관: Pitch

Oct 26, 2015

Comprehensive and general techique

교육 기관: Shady D

Feb 18, 2016

Great introduction to the Subject

교육 기관: ronald w b

Apr 11, 2016

Well done, but lite on content.

교육 기관: Subhash

Apr 19, 2020

Feels somewhat Boring!!!!

교육 기관: Rob N

Dec 23, 2015

Meh. It was just okay.

교육 기관: Madhav K

Feb 29, 2020

content is less.

교육 기관: Joaquín R L

Dec 27, 2016

Good intro

교육 기관: Daniel B

Jun 27, 2017

Too easy.

교육 기관: Jimel B

Feb 22, 2017


교육 기관: Aaron M C

Dec 06, 2018


교육 기관: Cyril M

Aug 22, 2020

Disappointed. At the end I don't feel especially more equipped to work on Busines metrics.

Unless it is in the finance domain or on specific revenue metrics from online shops or some more very specific domains. A deep dive into finance too. very interesting if you are interested in Stocks and finance (which is my case), but probably a little specific for the large audience of this course.

On Profitability metrics Muda's, lead time, process time. and other more general notions that could be applied more widely.

The end assignment is a good demonstration of what was the central topic and what was more "fillings" => focus on metrics how to apply them.

I've seen other courses from the same time that was much mor interesting.