One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand.
In this course you will learn how to become a master at communicating business-relevant implications of data analyses. By the end, 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.
Ce cours fait partie de la Spécialisation Excel to MySQL: Analytic Techniques for Business
Data Visualization and Communication with Tableau
proposé par
À propos de ce cours
4.7
1,792 notes
Compétences que vous acquerrez
Data AnalysisTableau SoftwareData Visualization (DataViz)Visualization (Computer Graphics)
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
1About 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>
2 vidéos (Total 9 min), 5 lectures
5 lectures
Specialization Overview10 min
Course Overview10 min
FAQ (Frequently Asked Questions)10 min
Special Thanks!10 min
About the Course Team10 min
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>
8 vidéos (Total 60 min), 2 lectures, 1 quiz
8 vidéos
Asking the Right Questions5 min
Rock Projects5 min
S.M.A.R.T. Objectives9 min
Listening to Stakeholders During Elicitation8 min
Stakeholder Expectations Matter8 min
Using SPAPs to Structure Your Thinking, Part 17 min
Using SPAPs to Structure Your Thinking, Part 26 min
2 lectures
Week 1 Additional Resources10 min
SPAP Graphic10 min
1 exercice pour s'entraîner
Week 1 Quiz30 min
Semaine
2Data 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!
16 vidéos (Total 130 min), 6 lectures, 2 quiz
16 vidéos
Why Tableau?8 min
Meet Your Salary Data3 min
Meet Your Dognition Data11 min
Our Analysis Plan39s
Salaries of Data-Related Jobs: Your First Graph11 min
Formatting and Exporting Your First Graph6 min
Digging Deeper Using the Rows and Columns Shelves13 min
Understanding the Marks Card11 min
Removing Outliers Using Scatterplot and Filtering and Groups13 min
Analyzing Data-Related Salaries in Different States Using Filtering and Groups8 min
When to Use Line Graphs2 min
Dates as Hierarchical Dimensions or Measures8 min
Analyzing Data-Related Salaries Over Time Using Date Hierarchies8 min
Analyzing Data-Related Salaries Over Time Using Trend Lines9 min
Analysing Data-Related Salaries Over Time Using Box Plots10 min
6 lectures
Written Instructions to Install Tableau Desktop2 min
Salary Data Set, Description, and Analysis Plan10 min
Dognition Data Set, Description, and Analysis Plan10 min
The Effects of Outliers Video10 min
Introduction to Linear Regression10 min
Week 2 Practice Exercisess
1 exercice pour s'entraîner
Week 2 Quizs
Semaine
3Dynamic 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!
12 vidéos (Total 98 min), 3 lectures, 1 quiz
12 vidéos
Tableau Calculation Types4 min
How to Write Calculations11 min
Calculations that Make Filtering More Efficient8 min
Identifying Companies that Pay Less than the Prevailing Wage9 min
Blending Price Parity Data with Our Salary Data4 min
Adjusting Data-related Salaries for Cost of Living10 min
Calculating Which States Have the Top Adjusted Salaries within Job Subcategories10 min
Using Parameters to Define Top States7 min
Calculating Which Companies Have the Top Adjusted Salaries within Job Subcategories8 min
Designing a Dashboard to Determine Where You should Apply for Data-related Job12 min
Visual Story Points in Tableau10 min
3 lectures
Data Sets Needed in Week 310 min
Week 3 Additional Resources: Examples of Tableau Dashboards and Stories10 min
Week 3 Practice Exercisess
1 exercice pour s'entraîner
Week 3 Quizs
Semaine
4Your 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!
16 vidéos (Total 96 min), 1 lecture, 1 quiz
16 vidéos
The Storyboarding Hourglass5 min
Making Your Data Story Come Alive9 min
Storyboarding Your Presentation6 min
The Best Stress-Testers are Teams3 min
Overgeneralization and Sample Bias5 min
Misinterpretations Due to Lack of Controls3 min
Correlation Does Not Equal Causation6 min
How Correlations Impact Business Decisions8 min
Choosing Visualizations for Story Points7 min
The Neuroscience of Visual Perception Can Make or Break Your Visualization3 min
Misinterpretations Caused by Colorbars4 min
Visual Contrast Directs Where Your Audience Looks8 min
Formatting Slides to Communicate Data Stories8 min
Formatting Presentations to Communicate Data Stories5 min
Delivering Your Data Story5 min
1 lecture
Week 4 Additional Resources: Designing and Delivering an Effective Business Presentation45 min
1 exercice pour s'entraîner
Week 4 Quiz30 min
4.7
391 avis43%
a commencé une nouvelle carrière après avoir terminé ces cours
38%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
11%
a obtenu une augmentation de salaire ou une promotion
Meilleurs avis
par TP•Jul 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.
par IT•Nov 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!
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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