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学生对 普华永道 提供的 Data-driven Decision Making 的评价和反馈

4.6
4,072 个评分
746 个审阅

课程概述

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....

热门审阅

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 个评论(共 713 个)

创建者 Mukiza R

Jan 08, 2019

Real world approach

创建者 Kaneesha D

Feb 03, 2019

great

创建者 obafemi a

Feb 04, 2019

great introduction to data analytics

创建者 KOMOU A

Feb 04, 2019

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

创建者 Maya P

Mar 09, 2019

Good start for AI

创建者 ARUPENDRA D

Mar 09, 2019

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

创建者 Simran K

Feb 13, 2019

e

创建者 Anirban M

Mar 10, 2019

Excellent Course

创建者 Subhransu S

Feb 14, 2019

The course covers all the basics for pragmatic decision making.

创建者 Pramod S N

Jul 15, 2018

Great for basics in Data Analytics

创建者 Md M A

Jul 11, 2018

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

创建者 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.

创建者 SAYANTA S R

Jul 17, 2018

great course

创建者 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 :-))!

创建者 Wei H

Sep 20, 2018

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

创建者 ALPHONSA N

Sep 10, 2018

Very clear understanding of Analytical approaches and tools.

创建者 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!

创建者 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.

创建者 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.

创建者 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.

创建者 Lim S C

Sep 27, 2018

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

创建者 KJ G

Sep 17, 2018

Wonderful insight to data analytics!

创建者 Binitha S

Aug 25, 2018

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

创建者 David M S

Aug 16, 2018

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

创建者 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.