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

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

5,638개의 평가
1,129개의 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


Feb 27, 2017

It's the first course from the specification, which makes us better understand the necessary business metrics for data-driven companies, and it is a good entry for following modules. Help me a lot.

필터링 기준:

Business Metrics for Data-Driven Companies의 1,094개 리뷰 중 1051~1075

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 E A 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: Rob N

Dec 23, 2015

Meh. It was just okay.

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: Kaela W G

Feb 07, 2016

Everything was either super basic or else more advanced but so niche that it doesn't really apply to everyone and we don't need to learn it in that depth. Would have liked to learn a lot more about how to determine what KPIs you should be measuring in different businesses, what kinds of metrics are important, etc. The very large majority of this course will never be applicable to me.

교육 기관: Mark A

Mar 08, 2018

The description of the course/series does not adequately represent what is taught, more details up front about the material covered would have helped set expectations. The first course in the series focuses primarily on terminology, with little practical application. Almost all of the material was on finance & accounting.

교육 기관: Vikram R

Mar 09, 2016

Found it boring and pretty irrelevant. I was hoping to lean more on metrics especially in the digital marketing section. Pretty let down and $79 waste

교육 기관: Nagraj N

Apr 16, 2018

Course material is too heavy for a beginner. I would not be able to continue. For a new comer it is an heavy stuff taught like a brushing up course.

교육 기관: Maggie L

Dec 08, 2015

I really did not like the portion that went into detail about business analytics and related career paths. Not a technical skill or ne

교육 기관: Injah S

Oct 17, 2017

It would help to have more interaction whether via slides or examples.

교육 기관: Anthony

Aug 30, 2019

Very bare bones and mostly irrelevant to the industry

교육 기관: vadym h

Jun 24, 2016

Authors are too greedy for the course material.

교육 기관: Zuoren P

Jun 28, 2016

Can be packed into a two-week course.

교육 기관: William W

Aug 11, 2016

Basic introduction to data analytics

교육 기관: Jacob S

Feb 03, 2016

Very very entry level information.

교육 기관: Jussi N

Jan 09, 2017

Easy and pointless.

교육 기관: Michael M

Nov 14, 2017

No content.

교육 기관: Nathan L A

Oct 12, 2016