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返回到 数据驱动型公司的业务指标

學生對 杜克大学 提供的 数据驱动型公司的业务指标 的評價和反饋

4.6
6,891 個評分
1,417 條評論

課程概述

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....

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AS

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.

AR

Apr 20, 2020

It's a great course because even it's based on theory not practical(Which cover in next courses in specialization) but still, at final assignment submission, you feel great that you tackle a problem.

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176 - 数据驱动型公司的业务指标 的 200 個評論(共 1,382 個)

創建者 Haoran L

Dec 20, 2019

In this course, I will be able to analyze and explore the data better and readily map it to the possible increase in revenue, profitability, or reducing the risk.

創建者 anjali p

May 26, 2020

Since I was from engineering background that's why I did not had that much exposure to this field but this definitely helped me built that . Thank you so much 😊

創建者 Sudhanshu C

May 22, 2020

The course is very good even for a beginner who doesn't have much idea about financial terminologies. And how those can be tackled is discussed in later courses.

創建者 MOHAMMAD N

Apr 28, 2020

This course is a must one who wants to work with the real business world. This course helps the learner by widening their dimension in case of business analysis.

創建者 Xavier

Jan 26, 2016

It is a great introductory course to business metrics and data analysis, very clear and relevant explanations, in a series of attractive and not too long videos.

創建者 Roy G

Apr 26, 2019

Solid content from a prof that has real world experience. Definitely took some key learning away from this course, and I've been around the block a time or two.

創建者 Augustine D

Jun 12, 2018

Very good introduction to business data analytics. The business case at the end was a good way to make the learning sink in. Looking forward to the next courses

創建者 Deleted A

Oct 16, 2017

It is really practical and includes many useful and real business cases! Also, it is really easy to understand all the materials covered! Strongly recommended!

創建者 Jemma T

Apr 29, 2020

It really helps me to get a clear understanding of the details of business analytics/data science and gain some basic business insights of certain industries.

創建者 Mubaraq S

Apr 25, 2019

The course is a real eye-opener to the business world and it perfectly explains the metrics that business owners track. Great lecturer. I love the experience.

創建者 Yogesh B C A S

Mar 06, 2019

Very good course with valued content and very much required for people working in current digital world. I'm happy that i took this and completed this course.

創建者 Obi N

May 16, 2017

Fantastic! Very well balanced course. Would have loved some more quizzes that reflect real life scenarios so I can get accustomed to the analyses techniques.

創建者 Michael N

Jul 31, 2016

Despite it's simplicity the course lays the groundwork for the understanding of the new economy (Amazon) as juxtaposed to the old economy (Barnes and Noble).

創建者 Chi T

Jun 05, 2016

As a person without a business background, this course gave me a broad, easy-to-understand introduction into the intersection of business and data analytics.

創建者 Sonya R C

Mar 01, 2016

"Come as you are and leave feeling like you can conquer data"

The learning is quantity combine with quality.

The tutors are knowledgeable and detailed.

Love it!

創建者 Jesus H A M

May 15, 2017

Very good explanation of the metrics and useful information. May be too much of the what a business analyst does with interviews. However, the rest perfect!

創建者 Henry W

Nov 16, 2017

The class is well structured, well presented and well paced so make it easy to follow. The concepts covered is very well structured and easily understood.

創建者 Darrin H

Jan 09, 2017

Great start to the certificate. Sometimes the industry-based case studies seemed jarring--could use a slightly better T-up. Otherwise, I really enjoyed it!

創建者 Veron C

Apr 25, 2020

I had a good understanding of business metrics that I've never learnt before as i'm in the hospitality field. It was an interesting yet refreshing course.

創建者 Yang L

Sep 03, 2019

This is a great course. Very succinct and straight forward. The lecturer provide useful tips and interviews within the industry for learner's career path.

創建者 Mihir M

Mar 02, 2019

Great course for beginners, enjoyed it thoroughly, it has set a foundation for a potential career in the field of big data. I recommend the course.to all.

創建者 Bridget

Jul 20, 2017

I recommend this course to those who only knows a little about data, and those who are wondering what kind of jobs and companies are related to data base.

創建者 Jeremy V

Jan 01, 2018

This was an *excellent* introduction to the job market in analytics. It answered a dozen questions I had and helped me orientate myself in the job field.

創建者 Vishnu V R

Feb 25, 2016

I am confused with the job titles before. But, now with this course I understood the skills required to get into the job market.

Thanks for your efforts.

創建者 LaMont H

Oct 20, 2018

The course was very helpful in helping me understand the different types of metrics and how to apply them to different types of companies for analysis.