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

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

4.6
5,828개의 평가
1,177개의 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

AC

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

JJ

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 1,142개 리뷰 중 926~950

교육 기관: Pengtao L

Mar 24, 2016

Very good intro class to Business analytics. Wish there are more content to learn.

교육 기관: Alessandro G

Oct 23, 2015

Very interesting introduction to the business intelligence, totally recommended.

교육 기관: Damy A

May 18, 2018

Great foundational information for understanding the value of Business Metrics

교육 기관: Sai K

Jul 27, 2018

Very well explained course with lots of examples to understand case in point.

교육 기관: Gabriel B

Sep 18, 2017

Great course to understand the use of this subject for business improvements!

교육 기관: Weizhe

Dec 27, 2017

Very informative difficulty level is just suitable for entry level viewers.

교육 기관: Seamus L O

Jun 29, 2017

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

교육 기관: Mayank s

Feb 12, 2020

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

교육 기관: Kevin V K

Oct 03, 2017

VERY interesting and far better compared to a boring classroom lectures

교육 기관: Akshay K

Sep 18, 2016

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

교육 기관: Drozhnikov A

Sep 24, 2015

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

교육 기관: 郎雨

Oct 13, 2018

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

교육 기관: Yiwei Z

Jan 11, 2016

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

교육 기관: Jacob P

Aug 28, 2018

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

교육 기관: Mukul T

Feb 05, 2018

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

교육 기관: Nicholas D

May 17, 2017

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

교육 기관: Xin Y

Apr 23, 2017

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

교육 기관: Alex C

Jan 10, 2017

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

교육 기관: Pablo V

May 16, 2016

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

교육 기관: Yongli C

Oct 02, 2018

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

교육 기관: aferyad

Dec 02, 2015

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

교육 기관: Bryan P

Jun 28, 2016

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

교육 기관: Gytis G

Jun 28, 2019

Great course! I found some interesting information! Recommend!

교육 기관: Christopher C

Jun 23, 2016

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

교육 기관: Dana T

Feb 13, 2016

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