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.
Ce cours fait partie de la Spécialisation Excel to MySQL: Analytic Techniques for Business
Business Metrics for Data-Driven Companies
proposé par
À propos de ce cours
4.5
4,740 notes
Compétences que vous acquerrez
Data AnalysisBusiness AnalysisBusiness AnalyticsBusiness Process
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
1About 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!
2 vidéos (Total 8 min), 2 lectures
2 lectures
Specialization Overview10 min
Course Overview10 min
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.
11 vidéos (Total 90 min), 1 lecture, 1 quiz
11 vidéos
Distinguishing Revenue, Profitability, and Risk Metrics6 min
Distinguishing Traditional and Dynamic Metrics6 min
Egger’s Roast Coffee Case Study Part 1 – Definitions13 min
Egger’s Roast Coffee Case Study Part 2 – How a Profitable, Growing Company can go Bankrupt12 min
Revenue Metrics – Traditional Enterprise Sales Funnel8 min
Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 18 min
Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 26 min
Profitability/Efficiency Metrics: Inventory Management10 min
Profitability/Efficiency Metrics: Hotel Room Occupancy Optimization9 min
Risk Metrics: Leverage and Reputational Risk4 min
1 lecture
Egger's Roast Coffee Cash Flow and P&L Statements10 min
1 exercice pour s'entraîner
Business Metrics30 min
Semaine
2Working 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.
15 vidéos (Total 77 min), 2 lectures, 1 quiz
15 vidéos
The Business Analyst7 min
An Interview with Business Analyst Shambhavi Vashishtha6 min
Distinguishing the Business Data Analyst and Business Analyst Roles3 min
An Interview with Business Data Analyst Tiffany Yu4 min
The Data Scientist5 min
An Interview with Data Scientist Dai Li4 min
The Senior Software Engineer2 min
Overview of 5 Types of Companies as They Relate to Big Data4 min
Traditional Strategic Business Consulting4 min
Bricks-and-Mortar Companies7 min
Barnes and Noble Case Study4 min
Strategic Business Consulting - Focus on Software/IT Systems Integration3 min
Hardware and Software Companies7 min
Digital Companies5 min
2 lectures
Summary of Job Requirements for Data-Centric Roles10 min
20-Item Checklist for Evaluating A Business10 min
1 exercice pour s'entraîner
Working in the Business Data Analytics Marketplace30 min
Semaine
3Going 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.
7 vidéos (Total 63 min), 1 lecture, 1 quiz
7 vidéos
Web Marketing - AdWord Metrics7 min
Web Marketing - Segmentation5 min
Financial Services Metrics - Money Management and Investing13 min
The Equivalence of Different Returns –The Sharpe Ratio8 min
Four Types of Money Managers and Their Performance Metrics14 min
Venture Capital and Private Equity Investors6 min
1 lecture
Links Cited In AdWords Metric Video10 min
1 exercice pour s'entraîner
Going Deeper into Business Metrics30 min
Semaine
4Applying 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.
1 lecture, 1 quiz
1 lecture
A Look Ahead10 min
4.5
962 avis17%
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17%
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Meilleurs avis
par AC•Nov 3rd 2018
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
par DG•Aug 20th 2017
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.
Enseignants
Daniel Egger
Executive in Residence and Director, Center for Quantitative ModelingPratt School of Engineering, Duke University
Jana Schaich Borg
Assistant Research ProfessorSocial Science Research Institute
À propos de Duke University
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
À propos de la Spécialisation Excel to MySQL: Analytic Techniques for Business
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, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Quelle est la politique de remboursement ?
Une aide financière est-elle possible ?
Will I receive a transcript from Duke University for completing this course?
No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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