Informações sobre o curso
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380 avaliações
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Comece imediatamente e aprenda em seu próprio cronograma.
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Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 25 horas para completar

Sugerido: 5 weeks, 6-8 hours per week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Habilidades que você terá

Data AnalysisTableau SoftwareData Visualization (DataViz)Visualization (Computer Graphics)
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 25 horas para completar

Sugerido: 5 weeks, 6-8 hours per week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
1 hora para concluir

About this Specialization and Course

<p>The Coursera Specialization: <a href='https://www.coursera.org/specializations/excel-mysql' target='_blank'>Excel to MySQL: Analytic Techniques for Business</a>, 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 a 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.<p>In the third course of the specialization: <b>Data Visualization and Communication with Tableau</b>, you will learn how to communicate business-relevant implications of data analyses. <p>Specifically, you will:<ul><li>craft the right questions to ensure your analysis projects succeed;</li> <li>leverage questions to design logical and structured analysis plans;</li> <li>create the most important graphs used in business analysis and transform data in Tableau;</li><li>design business dashboards with Tableau;</li> <li>tell stories with data;</li><li>design effective slide presentations to showcase your data story; and </li><li>deliver compelling business presentations.</li></ul> <p>By the end of this course, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders. You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world. Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly. Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles by completing a final peer assessed project recommending a business process change. <P>To get started, please begin with the video 'About This Specialization.'<P>I hope you enjoy this week's materials!</P>...
Reading
2 vídeos (total de (Total 9 mín.) min), 5 leituras
Video2 videos
Welcome to the Course!4min
Reading5 leituras
Specialization Overview10min
Course Overview10min
FAQ (Frequently Asked Questions)10min
Special Thanks!10min
About the Course Team10min
Horas para completar
2 horas para concluir

Asking The "Right Questions"

Welcome! This week, you will learn how data analysts ask the right questions to ensure project success. By the end of this week, you will be able to: <p><ul><li>Craft the right questions to ensure your analysis projects succeed</li><li> Leverage questions to design logical and structured analysis plans</ul></li> <p> Remember to refer back to the Additional Resources reading: Identifying and Eliciting Information from Stakeholders). In addition, you will complete a graded quiz. <p> As always, if you have any questions, post them to the <b>Discussions.</b> <p>To get started, please begin with the video “Tips for Becoming a Data Analyst.” <p>I hope you enjoy this week's materials!</p>...
Reading
8 vídeos (total de (Total 60 mín.) min), 2 leituras, 1 teste
Video8 videos
Asking the Right Questions5min
Rock Projects5min
S.M.A.R.T. Objectives9min
Listening to Stakeholders During Elicitation8min
Stakeholder Expectations Matter8min
Using SPAPs to Structure Your Thinking, Part 17min
Using SPAPs to Structure Your Thinking, Part 26min
Reading2 leituras
Week 1 Additional Resources10min
SPAP Graphic10min
Quiz1 exercício prático
Week 1 Quiz30min
Semana
2
Horas para completar
8 horas para concluir

Data Visualization with Tableau

Welcome to week 2! This week you'll install Tableau Desktop to learn how visualizing data helps you figure out what your data mean efficiently, and in the process of doing so, helps you narrow in on what factors you should take into consideration in your statistical models or predictive algorithms. Over the next two weeks, we’re going to learn how to use Tableau to implement this type of visualization and to help you find, and communicate, answers to business questions, as well as work with the Tableau functions that all data analysts should be familiar with. You will learn to install Tableau Desktop and learn to use the program by working with two data sets. In addition, through a series of practice exercises, you will use a data set to do example analyses and to answer specific sample questions about salaries for certain data-related jobs across the United State. Then for graded exercises, you will use a different data set to work out analyses and questions that will require you to directly apply the Tableau skills you have acquired through practice. <p>By the end of this week, you will be able to: <ul><li>Create the most important graphs used in business analysis and transform data in Tableau </li></ul><p>Once you have watched the "Why Tableau" video, review the "Written Instructions to install Tableau Desktop" and install the software. Remember to refer back to the Salary Data Set and to the Dognition Data Set resources posted on the course site this week. You will also complete a graded quiz at the end of the week. <p>As always, if you have any questions, post them to the <b>Discussions</b>.<p>To get started, please begin with the video “Use Data Visualization to Drive Your Analysis" and then review the "Written Instructions to install Tableau Desktop.<p>I hope you enjoy this week's materials! ...
Reading
16 vídeos (total de (Total 130 mín.) min), 6 leituras, 2 testes
Video16 videos
Why Tableau?8min
Meet Your Salary Data3min
Meet Your Dognition Data11min
Our Analysis Plan39s
Salaries of Data-Related Jobs: Your First Graph11min
Formatting and Exporting Your First Graph6min
Digging Deeper Using the Rows and Columns Shelves13min
Understanding the Marks Card11min
Removing Outliers Using Scatterplot and Filtering and Groups13min
Analyzing Data-Related Salaries in Different States Using Filtering and Groups8min
When to Use Line Graphs2min
Dates as Hierarchical Dimensions or Measures8min
Analyzing Data-Related Salaries Over Time Using Date Hierarchies8min
Analyzing Data-Related Salaries Over Time Using Trend Lines9min
Analysing Data-Related Salaries Over Time Using Box Plots10min
Reading6 leituras
Written Instructions to Install Tableau Desktop2min
Salary Data Set, Description, and Analysis Plan10min
Dognition Data Set, Description, and Analysis Plan10min
The Effects of Outliers Video10min
Introduction to Linear Regression10min
Week 2 Practice Exercisess
Quiz1 exercício prático
Week 2 Quizs
Semana
3
Horas para completar
7 horas para concluir

Dynamic Data Manipulation and Presentation in Tableau

Welcome to week 3! This week you'll continue learning how to use Tableau to answer data analysis questions. You will learn how to use Tableau to both find, and eventually communicate answers to business questions. You'll learn about the process of elicitation, and learn how to ensure your data story is not undermined by overgeneralization or bias and how to format your data charts to begin creating a compelling data story. By the end of this week, you will be able to: <ul><li>Write calculations and equations in Tableau</li> <li>Publish online business dashboards with Tableau.</li></ul> <p>Remember to refer to the additional resources for this week: “Examples of Tableau Dashboards and Stories” and "Using Tableau Dashboards When You Don't Have To." <p>You will also complete a graded quiz. <p>As always, if you have any questions, post them to the Discussions. <p>To get started, please begin with the video “Customizing and Sharing New Data in Tableau.” <p>I hope you enjoy this week's materials!...
Reading
12 vídeos (total de (Total 98 mín.) min), 3 leituras, 1 teste
Video12 videos
Tableau Calculation Types4min
How to Write Calculations11min
Calculations that Make Filtering More Efficient8min
Identifying Companies that Pay Less than the Prevailing Wage9min
Blending Price Parity Data with Our Salary Data4min
Adjusting Data-related Salaries for Cost of Living10min
Calculating Which States Have the Top Adjusted Salaries within Job Subcategories10min
Using Parameters to Define Top States7min
Calculating Which Companies Have the Top Adjusted Salaries within Job Subcategories8min
Designing a Dashboard to Determine Where You should Apply for Data-related Job12min
Visual Story Points in Tableau10min
Reading3 leituras
Data Sets Needed in Week 310min
Week 3 Additional Resources: Examples of Tableau Dashboards and Stories10min
Week 3 Practice Exercisess
Quiz1 exercício prático
Week 3 Quizs
Semana
4
Horas para completar
4 horas para concluir

Your Communication Toolbox: Visualizations, Logic, and Stories

Welcome to week 4! This week you will become a master at getting people to agree with your data-driven business recommendations as you learn to deliver a compelling business presentation. You’ll learn about the insight from the intersection of visualization science and decision science, and what this means for you as a data analyst, who seeks to design a compelling and effective business presentations. If you intend to affect people’s decisions, you need to influence where they look. This week we will review a set of tools and concepts you can use to optimize your visualizations and your presentation style. You will soon be a master at getting people to agree with your data-driven business recommendations! <p>By the end of this week, you will be able to:<p><ul><li>Tell stories with data</li> <li>Design effective slide presentations to showcase your data story, and</li> <li> Deliver compelling business presentations</ul></li><p> Remember to refer back to the Study Guide: Designing and Delivering Effective Presentations. You will also complete a graded quiz. <p>As always, if you have any questions, post them to the <b>Discussions</b>.<p> To get started, please begin with the video “Using Visualization to Influence Business Decisions.”<p> I hope you enjoy this week's materials!...
Reading
16 vídeos (total de (Total 96 mín.) min), 1 leitura, 1 teste
Video16 videos
The Storyboarding Hourglass5min
Making Your Data Story Come Alive9min
Storyboarding Your Presentation6min
The Best Stress-Testers are Teams3min
Overgeneralization and Sample Bias5min
Misinterpretations Due to Lack of Controls3min
Correlation Does Not Equal Causation6min
How Correlations Impact Business Decisions8min
Choosing Visualizations for Story Points7min
The Neuroscience of Visual Perception Can Make or Break Your Visualization3min
Misinterpretations Caused by Colorbars4min
Visual Contrast Directs Where Your Audience Looks8min
Formatting Slides to Communicate Data Stories8min
Formatting Presentations to Communicate Data Stories5min
Delivering Your Data Story5min
Reading1 leituras
Week 4 Additional Resources: Designing and Delivering an Effective Business Presentation45min
Quiz1 exercício prático
Week 4 Quiz30min
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Direcionamento de carreira

38%

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Benefício de carreira

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Promoção de carreira

17%

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Melhores avaliações

por TPJul 4th 2016

Thanks very much for great content and especially, Ms. Jana Schaich Borg for brilliant presentation skills, lovely voice and good looking as well. Please participate. This is highly recommend course.

por ITNov 7th 2018

I was pleased by the quality of this course. I really learned how to use tableau and the tips on researching and presenting were well founded. The teachers were positive and hard working. Thank you!

Instrutores

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Daniel Egger

Executive in Residence and Director, Center for Quantitative Modeling
Pratt School of Engineering, Duke University
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Jana Schaich Borg

Assistant Research Professor
Social Science Research Institute

Sobre 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....

Sobre o Programa de cursos integrados 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....
Excel to MySQL: Analytic Techniques for Business

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

  • 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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