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Avis et commentaires pour d'étudiants pour Data-driven Decision Making par PwC

4.6
étoiles
4,253 évaluations
776 avis

À propos du cours

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....

Meilleurs avis

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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601 - 625 sur 744 Avis pour Data-driven Decision Making

par Marta R M

Aug 30, 2019

Good overview of data-analysis and interesting the final project to put into practice the whole course

par Rich H

Aug 25, 2017

Valuable process insight. Not very vigorous, fits into my schedule. Looking forward to the next class.

par Anuradha G

Jun 13, 2019

It was very useful to understand how data is used to take big decisions, especially the PwC approach

par Беляев М О

Sep 21, 2018

Sometimes too long explanations and to many things, which you recap 10 times during the whole course

par Sai L K

Jul 31, 2018

A good introduction to Data Analytics.Definitely recommended for beginners with no prior experience.

par Mahesh M

Jul 09, 2018

Content was sufficient however more practice challenges would have made this course more effective

par Zhang G

Jul 16, 2019

Too many concepts and high level introductions. Could be better just combine it to the course 2

par AFFIA R M

Sep 07, 2019

Awesome course. A very good course to introduce a new learner into the 'world' of Big Data.

par Alberto G C

Aug 22, 2018

Good introduction to Data Analytics - Looking to forward to completing the specialization

par Douglas G

Jan 19, 2018

Can be a touch axiomatic, but I'm sure it's a good basis for more important skills later.

par Par G

Feb 18, 2019

The criteria or guidance for the final assessment wasn't clear, or could not be found.

par Nancy B

Nov 23, 2018

Nice mix of technical, strategics and processes. I found the framework most helpful.

par Fadoua E

Nov 10, 2019

I appreciate the quality of the videos used in this course and also the continent.

par Yin C

May 27, 2019

Very good. It's good to know the main tools and tech approaches of data analytics.

par Sudarshan Y

May 30, 2018

A pdf demonstrating the use of different analysis techniques would be very useful.

par Susan B

Aug 20, 2017

A good overview, but the last week really ramped up the materials without warning.

par swathi

Mar 04, 2019

The course not only introduces data analytics but also has in-detail description.

par Arun R

Sep 06, 2018

Its a good start for people who want to start their career with data & analytics

par osama n

May 03, 2017

it's my first online course , i liked it too much . it was an amazing experience

par Aashay C

Sep 27, 2016

Very good introduction into the field. Peer reviewed assignment could be better

par Yue Z

Feb 16, 2020

high-level overview; little hands-on experience. good primer on key concepts.

par Jon C G

Feb 07, 2017

Primera parte muy teorica, pero productiva, se adquieren muchos conocimientos

par Сидорова Е Е

Oct 26, 2018

Too much theory, but the course is really inspiring and interesting. Thanks!

par Pham X T

May 23, 2018

Great course for new comers but not very much information, just an overview

par Smit D

Oct 08, 2019

Peer graded review could have been done by PWC mentors or associates.