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學生對 普华永道 提供的 Data-driven Decision Making 的評價和反饋

4.6
4,005 個評分
737 個審閱

課程概述

Welcome to Data-driven Decision Making. In this course you'll get an introduction to Data Analytics and its role in business decisions. You'll learn why data is important and how it has evolved. You'll be introduced to “Big Data” and how it is used. You'll also be introduced to a framework for conducting Data Analysis and what tools and techniques are commonly used. Finally, you'll have a chance to put your knowledge to work in a simulated business setting. This course was created by PricewaterhouseCoopers LLP with an address at 300 Madison Avenue, New York, New York, 10017....

熱門審閱

CE

May 10, 2018

Great high-level introduction into what big data is, how data & analytics is impacting business decision making, and how PwC uses data & analytics to improve the quality of work delivered to clients.

AF

Aug 16, 2018

This is a great course in data and analytics for the every day professional. It gives great insight into how data and analytics can support decision making. The mode of delivery of the course is e

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76 - Data-driven Decision Making 的 100 個評論(共 705 個)

創建者 Mukiza R

Jan 08, 2019

Real world approach

創建者 Kaneesha D

Feb 03, 2019

great

創建者 obafemi a

Feb 04, 2019

great introduction to data analytics

創建者 KOMOU A

Feb 04, 2019

A very challenging course. I strongly recommend it for those who are interesting learning of great quality.

創建者 Maya P

Mar 09, 2019

Good start for AI

創建者 ARUPENDRA D

Mar 09, 2019

This introductory course provides real structure starting from identifying business problem to decision making.

創建者 Simran K

Feb 13, 2019

e

創建者 Anirban M

Mar 10, 2019

Excellent Course

創建者 Subhransu S

Feb 14, 2019

The course covers all the basics for pragmatic decision making.

創建者 Pramod S N

Jul 15, 2018

Great for basics in Data Analytics

創建者 Md M A

Jul 11, 2018

Great Course. Give great overview of data analysis techniques and tools. Spending time on this course is worth.

創建者 Julio C B

Jul 13, 2018

Excelente curso, muy bien dirigido y estructurado. El material provisto es de gran ayuda; los conceptos son fácilmente comprensibles incluso si no tienes experiencia previa en el tema.

創建者 SAYANTA S R

Jul 17, 2018

great course

創建者 Martha M K

Sep 08, 2018

This was the best introduction i have ever seen on Data analysis. It definitely solidified my interest in data science (well, data analysis for me :-))!

創建者 Wei H

Sep 20, 2018

So far so fantastic. Great clarification of different data analysis.

創建者 ALPHONSA N

Sep 10, 2018

Very clear understanding of Analytical approaches and tools.

創建者 JJ C

Sep 26, 2018

Amazing Course! A few months ago I was given the opportunity to work in business intelligence at my company and for that reason I have read several books on the subject. This course has brought all that knowledge together and I am looking forward to continue learning with Coursera!

創建者 Christopher Z

Sep 13, 2018

High-level overview of the world of Data and Analytics. The quality was great and was a great refresher from my graduate-level coursework.

創建者 nicola h

Sep 12, 2018

Very proud of myself for passing this with a high score - I am not a natural number cruncher and this was not easy.

Highly recommended.

創建者 jorge r a v

Sep 28, 2018

is and excellent platform, the best think was to change my career to Data Science and this course was very helpful, and when I finish I have a better and clear path thank you very much to put this course in audit mode.

創建者 Lim S C

Sep 27, 2018

Up to date and features many new possibilities that I have not thought of before this

創建者 KJ G

Sep 17, 2018

Wonderful insight to data analytics!

創建者 Binitha S

Aug 25, 2018

Good overview course. The assignment was very thoughtfully crafted and was intellectually challneging.

創建者 David M S

Aug 16, 2018

Super good introduction to Data Science with clear and short definitions and explanations for beginners. I recommend it!

創建者 Alberto R J V

Aug 31, 2018

Este curso me ayudó a mejorar mi rendimiento profesional y académico. Ahora, cuando alguien me pide investigar sobre un tema o realizar un análisis de vigilancia tecnológica puedo hacerlo más rápido y entrego conclusiones más precisas y estructuradas.