Business Metrics for Data-Driven Companies

Name: Business Metrics for Data-Driven Companies
Rating: 3.9 (10 reviews)

Duke University via Coursera

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Details

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Provider

Coursera
Pricing

Free Online Course (Audit)
Languages

English
Certificate

Paid Certificate Available
Duration & workload

4 weeks long, 7-8 hours worth of material
Sessions
Subtitles

Arabic, French, Portuguese, Chinese, Italian, German, Russian, English, Spanish, Korean

Found in

Business Intelligence Courses

Part of

Excel to MySQL: Analytic Techniques for Business

2.7

Overview

$200 off Coursera Plus

$199 for 12 months (regularly $399). Offer valid till Jan 31st.

Class Central Tips

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.

Syllabus

About This Specialization and Course

This Coursera Specialization: Excel to MySQL: Analytic Techniques for Business, is about how 'Big Data' interacts with business, and how to use data analytics to create value for businesses. This specialization consists of four courses and a final Capstone Project, where you will apply your skills to real-world business process. You will learn to perform sophisticated data-analysis functions using powerful software tools such as Microsoft Excel, Tableau, and MySQL. To learn more, watch the video and review the specialization overview document we provided. In the first course of the specialization: Business Metrics for Data-Driven Companies, you will be able to learn best practices for using data analytics to make any company more competitive and more profitable; learn to recognize the most critical business metrics and distinguish those from mere data; understand the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies; and know exactly the skills required to be hired for, and succeed at, these high-demand jobs. Finally, using a 20-item checklist for evaluating a business, you'll be able 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.To get started, please begin with the video 'About This Specialization.'I hope you enjoy this week's materials!

Introducing Business Metrics

Welcome! This week we will explore business metrics - the critical numbers that help companies figure out how to survive and thrive. Inside every pile of data is a vital metric trying to get out! By the end of this week, you will be able to: distinguish business metrics from mere business data; identify critical business metrics such as cash flow, profitability, and online retail marketing metrics; distinguish revenue, profitability and risk metrics; and distinguish traditional from dynamic metrics. Included in this week’s course materials is a Cash Flow and P&L statement for Egger’s Roast Coffee, as a supplemental document, so be sure to review it carefully and refer to the glossary for key information.

Working in the Business Data Analytics Marketplace

Welcome! This week, we will meet some great people - all former students of mine - now working at super-interesting and exciting jobs as business analysts, business data analysts, or data scientists. We’ll explore what they do, how their role relates to big data, and the skills they needed to get hired! Our hope is this information will give you a better understanding of the type of data-related job you might apply for once you've completed this specialization, and a sense of the type of company you would find most appealing to work for. By the end of this week, you will be able to: differentiate among different job roles within a company that work with data; identify how each role works with data; and describe the skills required to perform each job role. You will differentiate how different types of companies relate to big data culture, and rank any company according to a 20-item checklist. You will also learn to differentiate how different types of companies relate to big data culture. Included in this week’s materials is a 20-item checklist to rank companies. This week also includes in-video polls so you can see how others are ranking their businesses.

Going Deeper into Business Metrics

Welcome! This week we’re going to go deeper into the critically-important metrics for web marketing - metrics every type of business needs to understand in order to survive. We’ll dive into the 'vertical' market of financial services - where digital companies are threatening to take away the market from traditional 'brick-and- mortar' companies.By the end of this week, you will be able to: Identify critical business metrics for all companies engaged in web-based marketing; and identify critical business metrics for financial services companies. You’ll find additional website links that expand some of the course materials covered in this week’s video lectures.

Applying Business Metrics to a Business Case Study

This week contains the final course assignment, a peer assessment in which you will identify business metrics of interest in a case example, describe those metrics, and propose a business process change that could be supported by the metric chosen.

Taught by

Daniel Egger and Jana Schaich Borg

Reviews

3.9 rating, based on 10 Class Central reviews

4.6 rating at Coursera based on 8270 ratings

Start your review of Business Metrics for Data-Driven Companies

Gregory J Hamel ( Life Is Study) @greg

Gregory J Hamel ( Life Is Study) completed this course and found the course difficulty to be easy.

Business Metrics for Data-Driven Companies is the first course in the “Excel to MySQL: Analytic Techniques for Business Specialization” offered by Duke University through Coursera. This short 4-week, self-paced course introduces the concept of business...

Business Metrics for Data-Driven Companies is the first course in the “Excel to MySQL: Analytic Techniques for Business Specialization” offered by Duke University through Coursera. This short 4-week, self-paced course introduces the concept of business metrics and the role they play in business analytics. It also spends some time discussing the various data-centric roles at different types of companies. The course has no prerequisites and grading is based on 3 multiple-choice quizzes and a final case-study assignment.

The lecture content in Business Metrics is crisp and the lecturer is easy to understand. There are only 3 short weeks of lecture content as the final week is devoted to the case study. The peer-graded case study assignment involves identifying and explaining a business metric in a fictitious business. The course explains several common business metrics in detail but doesn’t send as much time on how to use metrics to formulate questions, inform analysis or make decisions. Hopefully these are topics that will be covered in more detail in some of the upcoming courses in the specialization

Business Metrics for Data-Driven Companies is a good overview of business metrics and business data culture. As the first part of a larger specialization, it concludes before you get to use the metrics you learn about in any sort of analysis. The value of this course will ultimately depend upon whether the follow up courses make good use of the foundation it lays.

As a standalone course, I give Business Metrics for Data-Driven Companies 3.5 out of 5 stars: Good.
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Anonymous

Anonymous completed this course.

I found this course to be a jumble of random information. The first lecture started so well by explaining what business analytics was, and in what business areas it was used. Then the second lecture got incredibly boring, spending lots of time not discussing...

I found this course to be a jumble of random information. The first lecture started so well by explaining what business analytics was, and in what business areas it was used. Then the second lecture got incredibly boring, spending lots of time not discussing business analytics but instead focusing on how profitable different american companies were. And here errors in the material also started to appear. By the third lecture, where the second part is spent discussing completely random financial calculations for investors, throwing us completely in at the deep end, providing no context for this topic and at the same time assuming a good grip on e.g. logarithmic scales, I was fuming. The course is just absolute rubbish and a waste of time and money. For $60 I could have bought a pretty large book on the topic which would have served me much better. Avoid.
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Kush Kulshrestha

Kush Kulshrestha completed this course and found the course difficulty to be easy.

An Ok course I would say.
Not a very aggressive course. Good if you want an introduction to some Business terms but if you are looking for some heavy lifting, not a match. If in doubt, audit it, it wont take much time to complete.
Nan Halberg

Nan Halberg completed this course, spending 4 hours a week on it and found the course difficulty to be medium.

This was a good course for starting to learn about business metrics - lots of real life stories, an engaging, knowledgeable professor, quizzes that helped to integrate learning each week.
Jinwook

Jinwook completed this course.
Anonymous

Anonymous is taking this course right now.

It is really helpful for someone who wants to enter business analytics career! Instructors explain all the concepts and cases very clear. And at the end there will be a case study for final.
Jason Michael Cherry

Jason Michael Cherry completed this course.
Anonymous

Anonymous completed this course.

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