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.
Este curso forma parte de Programa Especializado - De Excel a MySQL: técnicas de análisis para negocios
ofrecido por
Acerca de este Curso
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Resultados profesionales del estudiante
29%
comenzó una nueva carrera después de completar estos cursos
29%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
13%
consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Coreano, Árabe (Arabic), Chino (simplificado)
Habilidades que obtendrás
Data AnalysisBusiness AnalysisBusiness AnalyticsBusiness Process
Resultados profesionales del estudiante
29%
comenzó una nueva carrera después de completar estos cursos
29%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
13%
consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Coreano, Árabe (Arabic), Chino (simplificado)
ofrecido por
Universidad Duke
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.
Programa - Qué aprenderás en este curso
28 minutos para completar
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!
28 minutos para completar
2 videos (Total 8 minutos), 2 lecturas
2 lecturas
Specialization Overview10m
Course Overview10m
2 horas para completar
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.
2 horas para completar
11 videos (Total 90 minutos), 1 lectura, 1 cuestionario
11 videos
Distinguishing Revenue, Profitability, and Risk Metrics6m
Distinguishing Traditional and Dynamic Metrics6m
Egger’s Roast Coffee Case Study Part 1 – Definitions13m
Egger’s Roast Coffee Case Study Part 2 – How a Profitable, Growing Company can go Bankrupt12m
Revenue Metrics – Traditional Enterprise Sales Funnel8m
Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 18m
Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 26m
Profitability/Efficiency Metrics: Inventory Management10m
Profitability/Efficiency Metrics: Hotel Room Occupancy Optimization9m
Risk Metrics: Leverage and Reputational Risk4m
1 lectura
Egger's Roast Coffee Cash Flow and P&L Statements10m
1 ejercicio de práctica
Business Metrics30m
2 horas para completar
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.
2 horas para completar
15 videos (Total 77 minutos), 2 lecturas, 1 cuestionario
15 videos
The Business Analyst7m
An Interview with Business Analyst Shambhavi Vashishtha6m
Distinguishing the Business Data Analyst and Business Analyst Roles3m
An Interview with Business Data Analyst Tiffany Yu4m
The Data Scientist5m
An Interview with Data Scientist Dai Li4m
The Senior Software Engineer2m
Overview of 5 Types of Companies as They Relate to Big Data4m
Traditional Strategic Business Consulting4m
Bricks-and-Mortar Companies7m
Barnes and Noble Case Study4m
Strategic Business Consulting - Focus on Software/IT Systems Integration3m
Hardware and Software Companies7m
Digital Companies5m
2 lecturas
Summary of Job Requirements for Data-Centric Roles10m
20-Item Checklist for Evaluating A Business10m
1 ejercicio de práctica
Working in the Business Data Analytics Marketplace30m
2 horas para completar
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.
2 horas para completar
7 videos (Total 63 minutos), 1 lectura, 1 cuestionario
7 videos
Web Marketing - AdWord Metrics7m
Web Marketing - Segmentation5m
Financial Services Metrics - Money Management and Investing13m
The Equivalence of Different Returns –The Sharpe Ratio8m
Four Types of Money Managers and Their Performance Metrics14m
Venture Capital and Private Equity Investors6m
1 lectura
Links Cited In AdWords Metric Video10m
1 ejercicio de práctica
Going Deeper into Business Metrics30m
2 horas para completar
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.
2 horas para completar
1 lectura
1 lectura
A Look Ahead10m
Revisiones
Principales revisiones sobre BUSINESS METRICS FOR DATA-DRIVEN COMPANIES
por AS11 de jun. de 2020
It is a business centred course that will help you understand the most important metrics. It includes comprehensive glossaries and lectures that will help you in the process and a lot of case studies.
por AA5 de mar. de 2017
i really enjoyed the course and learn a lot of things about business analysis and how to distinguish between different metrics and which of them can we use for immediate changing in business processes
por AR19 de abr. de 2020
It's a great course because even it's based on theory not practical(Which cover in next courses in specialization) but still, at final assignment submission, you feel great that you tackle a problem.
por JJ26 de feb. de 2017
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.
Acerca de Programa especializado: De Excel a MySQL: técnicas de análisis para negocios
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Cuál es la política de reembolsos?
Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.
¿Hay ayuda económica disponible?
Sí, Coursera ofrece ayuda económica a los estudiantes que no pueden pagar la tarifa. Solicítala haciendo clic en el enlace de Ayuda económica que está debajo del botón “Inscribirse” a la izquierda. Se te pedirá que completes una solicitud. Recibirás una notificación en caso de que se apruebe. Deberás completar este paso para cada uno de los cursos que forman parte del Programa especializado, incluido el proyecto final. Obtén más información.
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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