Data-driven Decision Making

If you are a PwC Employee, gain access to the PwC Specialization and Courses for free using the instructions on the PwC L&D Spark page or simply search "Coursera" on PwC Spark.This Specialization will help you get practical with data analysis, turning business intelligence into real-world outcomes. We'll explore how a combination of better understanding, filtering, and application of data can help you solve problems faster - leading to smarter and more effective decision-making. You'll learn how to use Microsoft Excel, PowerPoint, and other common data analysis and communication tools, and

Created by: Alex Mannella

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Overall Score : 96 / 100

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Course Description

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.

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Instructor Details

Alex Mannella

PLEASE NOTE: If you are experiencing access or payment issues, please reach out the the Coursera support center at https://learner.coursera.help/hc/en-us for help. Alex Mannella was a founding member and Partner in PwC's Information and Analytics Practice and is a seasoned professional on the issues of customer value management (CVM), response modeling, database marketing, and data mining. He has extensive experience in developing response and segmentation algorithms for organizations of varying sizes, database development, and the use of artificial intelligence for data mining studies. Prior to joining PwC, Alex was head of research at Econometrics, Inc.. He was instrumental in the redesign of their national database of more than 180 million records for response modeling, data mining and direct marketing campaigns. In addition, Alex played a key role in the development of the life-stage variable at Econometrics, a variable that is a key component in CRM and market basket analysis. Alex is an active member of the American Statistical Association (Chicago Chapter) and the Chicago Association of Direct Marketing. Alex is a guest lecturer at UCLA, Stanford, ITAM (Mexico), Universidad de los Andes (Colombia), IIM-B, and ISB. In addition, Alex sits on an advisory board at the University of Chicago Graham School.

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Reviews

4.8

160 total reviews

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By Suman P on 19-Mar-19

Is was disheartening to put 4 weeks of effort in 1 to try and maximize the trial window period and then you don't receive the certificate because peer-to-peer review is an unstructured process and dependent on a 3rd party who has nothing to do with my investment, my time and my performance.I was trying to evaluate a few Online training options to decide which is the best to recommend to my organization but this has been an absolute deal breaker. The course has been stretched over 4 weeks when it could have been wrapped in a week. All in all a design to stretch the time and hence gain more revenues on purpose I feel - not very pro-customer.

By Jeremy J W on 10-Apr-18

Most of this information is just an introduction and promo for PWC. Cut the material down and incorporate it into the other classes of this specialization. As a stand alone class I don't see the value of the course.

By Alexander J F on 16-Aug-18

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

By Congyi E L on 2-Dec-18

This course is all theoretical knowledge, nothing about real practice on analyzing tools. If you want to learn how to use tools, go to some other courses.

By Julia on 14-Nov-18

What an excellent laid out course curriculum. Bite size learning, various mediums, understandable concepts applied to real life business cases made for a 100% take away and applied knowledge. We

By Carlos G B on 28-Dec-18

The Data Analytics Framework and overview of approaches, techniques and technologies are so well done that prompted me to learn more and cover gaps in knowledge. The simulation and 3 cases at the end are very important, take them seriously and do them ALL following the framework provided. I would recommend that to do those cases do not hesitate to make assumptions and do a quick wiki search on how a Financial SS, CPG or Manufacturing company work

By Cem E on 10-May-18

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.

By DHRUV J on 13-Jan-19

it sucks

By Victor S on 21-Feb-18

Total loss of time.Why do you call this course Data driven decision making once "Remember you do not have to conduct actual data analysis, you only have to outline your plan." ?Where is decision making? 4 weeks of PwC promo with 0 REAL PRACTICAL aplication! Just call this couse "Buy PwC services" or "Join the team of talkers"?Adios Coursera... I was expecting more.

By Mayur B V on 17-Nov-17

An excellent course to get a high level overview of various tools- how things work in a professional consultancy- concise frameworks.Good for people who are just starting up with analytics.

By Ralph R F on 14-Oct-19

Great course for would be management analyst or those wanting to have a deeper look into the profession. PwC offers a concise and practical methodology useful in today's fast and data rich world.

By Kinjal M on 30-Dec-18

Explains Data Analytics and its basics in a really simple way. Also the simulation quiz and the peer graded assignments are worth a mention. P.s. A little more info. on the kind of questions in the Rubric test, would have probably helped me to formulate a better business plan, for the peer graded assignment.Best, Kinjal