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.
Overview
Syllabus
- Introduction to Data Analytics
- In this module, you'll learn the basics of data analytics and how businesses use to solve problems. You'll learn the value data analytics brings to business decision-making processes. We’ll introduce you to a framework for data analysis and tools used in data analytics. Finally, we’re going to talk about careers and roles in data analytics and data science. Note: Video transcripts are auto generated and may contain spelling and punctuation errors.
- Technology and types of data
- This module is an introductory look at big data and big data analytics where you will learn the about different types of data. We’ll also introduce you to PwC's perspective on big data and explain the impact of big data on businesses. Finally we will name some of the different types of tools and technologies used to gather data.
- Data analysis techniques and tools
- In this module we will describe some of the tools for data analytics and some of the key technologies for data analysis. We will talk about how visualization is important to the practice of data analytics. Finally we will identify a variety of tools and languages used and consider when those tools are best used.
- Data-driven decision making project
- The course project will give you an opportunity to practice what you have learned. You will participate in a simulated business situation in which you will select the best course of action. You will then prepare a final deliverable which will be evaluated by your peers. Additionally, you will have the opportunity to provide feedback on your peer's submissions.
Taught by
Alex Mannella
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Reviews
2.6 rating, based on 7 Class Central reviews
4.6 rating at Coursera based on 6105 ratings
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It's obviously an advertisement for PWC, the goal is to promote the company. Throughout the course, we hear the company's name over and over again and it's all about how good PWC is. I am willing to pay for a course, not for an advertisement.
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Very frustrating course. Videos are low quality, assignments don't load. No help from anyone despite several complaints on the discussions forum. Only going through with it as I've already finished half of it and don't want to leave it in the middle without certification.
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This course is just a big ad for this pwc company. There is absolutely nothing to learn. Unbelievable. Not worth the time.
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Being the introduction to the specialization, the course does not go deep into details of how to tackle a business problem and mostly highlights the key aspects of the procedure. However, it provides a consistent way & a framework to approach data analysis tasks and excels at keeping connected analysis and presentation of outcomes to real-life scenarios.
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It's obviously an advertisement for PWC, the goal is to promote the company. Throughout the course, we hear the company's name over and over again and it's all about how good PWC is. I am willing to pay for a course, not for an advertisement.
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some of the questions are confusing. No answers are provided despite several post in the forum. Criteria or questions are not clear on the last assignment
