Business Metrics for Data-Driven Companies

Formulate data questions, explore and visualize large datasets, and inform strategic decisions.In this Specialization, you'll learn to frame business challenges as data questions. You'll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you'll apply your skills to explore and justify improvements to a real-world business process.The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone's official Sponsor,

Created by: Daniel Egger

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Overall Score : 100 / 100

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Course Description

In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data.You'll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you'll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs.Finally, you will be able to use a checklist provided in the course to score any company on how effectively it is embracing big data culture. Digital companies like Amazon, Uber and Airbnb are transforming entire industries through their creative use of big data. You'll understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies.

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Instructor Details

Daniel Egger

Daniel Egger has more than seventeen years experience creating new software products and services, as founder and CEO of a series of venture-backed information technology companies, and as Managing Partner in a venture capital fund. Egger is Executive in Residence in Duke University's Master of Engineering Management Program and has taught courses in entrepreneurship and venture capital at Duke since 2003. He was formerly the Howard Johnson Foundation Entrepreneur-in-Residence in Duke's Markets and Management Program for undergraduates.

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Reviews

5.0

108 total reviews

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By James B on 18-Mar-16

I do not think that students should need to pay for a course in order to watch interviews with previous graduates. Half of this course should have been condensed or excluded. There is not much to learn in these modules. It was decent, but it was not a five star course. I think the ratings on this are misleading.

By Yuntao W on 3-Oct-16

a very interesting course on business metrics, talks about business metrics itself, jobs and companies in this field, also some examples of the application of business metrics like Amazon, Costco.

By Santiago H on 30-Jun-19

Pretty basic stuff. Even though I was familiar with everything given my background, I struggle to understand how this will add any value to people who are interested in Data Analytics.

By Dhruv G on 20-Aug-17

This was a great introductory course. I took this up to get a better perspective of business analysis and i can say with surety that it served a lot of purpose. Thanks Coursera and Duke Professor.

By Alexis C on 3-Nov-18

really good bases for business metric if you already have a background you are going to enjoy and refresh you memory and if you don't have previous experiences is really easy to understand the concept

By JingZ on 27-Feb-17

It's the first course from the specification, which makes us better understand the necessary business metrics for data-driven companies, and it is a good entry for following modules. Help me a lot.

By Alex P on 4-Dec-18

The use of actual business makes it much easier for professionals who are in the business world to pick up the concepts. A lot of courses are much heavier in theory and are a little more difficult to pick up if you have been out of school of some time.

By Dove on 18-Nov-18

Amazing course! Love the professor. The subject is very clear for me. Logical, concise, well-explained.

By on 17-Nov-18

Very good!!!

By Chunxiao C on 4-Dec-18

Very nice class! Pretty useful for beginners:)

By Alessandra T on 18-Dec-18

thank you!

By Vardges Z on 5-Dec-18

Excellent course with practical examples and useful theory.