Data Visualization and Communication with Tableau

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Data Visualization and Communication with Tableau

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Beschreibung

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About this course: 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.…

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Noch nicht den perfekten Kurs gefunden? Verwandte Themen: Data Visualization, Kommunikationstraining, Big Data, Data Science und Data Analytics.

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: 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.

Created by:  Duke University
  • Taught by:  Daniel Egger, Executive in Residence and Director, Center for Quantitative Modeling

    Pratt School of Engineering, Duke University
  • Taught by:  Jana Schaich Borg, Assistant Research Professor

    Social Science Research Institute
Basic Info Course 3 of 5 in the Excel to MySQL: Analytic Techniques for Business Specialization Commitment 5 weeks, 6-8 hours per week Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.6 stars Average User Rating 4.6See what learners said Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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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.

Syllabus


WEEK 1


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>


2 videos, 6 readings expand


  1. Video: About this Specialization
  2. Reading: Specialization Overview
  3. Video: Welcome to the Course!
  4. Reading: Course Overview
  5. Reading: FAQ (Frequently Asked Questions)
  6. Reading: Special Thanks!
  7. Reading: About the Course Team
  8. Reading: Feedback Survey Information


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 videos, 3 readings expand


  1. Video: Tips for Becoming a Data Analyst
  2. Video: Asking the Right Questions
  3. Video: Rock Projects
  4. Video: S.M.A.R.T. Objectives
  5. Video: Listening to Stakeholders During Elicitation
  6. Video: Stakeholder Expectations Matter
  7. Reading: Week 1 Additional Resources
  8. Reading: SPAP Graphic
  9. Video: Using SPAPs to Structure Your Thinking, Part 1
  10. Video: Using SPAPs to Structure Your Thinking, Part 2
  11. Reading: Feedback Survey

Graded: Week 1 Quiz

WEEK 2


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!


16 videos, 7 readings expand


  1. Video: Use Data Visualization to Drive Your Analysis
  2. Video: Why Tableau?
  3. Reading: Written Instructions to Install Tableau Desktop
  4. LTI Item: Tableau Desktop Key
  5. Video: Meet Your Salary Data
  6. Video: Meet Your Dognition Data
  7. Video: Our Analysis Plan
  8. Reading: Salary Data Set, Description, and Analysis Plan
  9. Reading: Dognition Data Set, Description, and Analysis Plan
  10. Video: Salaries of Data-Related Jobs: Your First Graph
  11. Video: Formatting and Exporting Your First Graph
  12. Video: Digging Deeper Using the Rows and Columns Shelves
  13. Reading: The Effects of Outliers Video
  14. Video: Understanding the Marks Card
  15. Video: Removing Outliers Using Scatterplot and Filtering and Groups
  16. Video: Analyzing Data-Related Salaries in Different States Using Filtering and Groups
  17. Video: When to Use Line Graphs
  18. Video: Dates as Hierarchical Dimensions or Measures
  19. Video: Analyzing Data-Related Salaries Over Time Using Date Hierarchies
  20. Video: Analyzing Data-Related Salaries Over Time Using Trend Lines
  21. Video: Analysing Data-Related Salaries Over Time Using Box Plots
  22. Reading: Introduction to Linear Regression
  23. Reading: Week 2 Practice Exercises
  24. Reading: Feedback Survey

Graded: Week 2 Quiz

WEEK 3


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!


12 videos, 4 readings expand


  1. Video: Customizing and Sharing New Data in Tableau
  2. Reading: Data Sets Needed in Week 3
  3. Video: Tableau Calculation Types
  4. Video: How to Write Calculations
  5. Video: Calculations that Make Filtering Efficient
  6. Video: Identifying Companies that Pay Less than the Prevailing Wage
  7. Video: Blending Price Parity Data with Our Salary Data
  8. Video: Adjusting Data-related Salaries for Cost of Living
  9. Video: Calculating Which States Have the Top Adjusted Salaries within Job Subcategories
  10. Video: Using Parameters to Define Top States
  11. Video: Calculating Which Companies Have the Top Adjusted Salaries within Job Subcategories
  12. Video: Designing a Dashboard to Determine Where You should Apply for Data-related Job
  13. Video: Visual Story Points in Tableau
  14. Reading: Week 3 Additional Resources: Examples of Tableau Dashboards and Stories
  15. Reading: Week 3 Practice Exercises
  16. Reading: Feedback Survey

Graded: Week 3 Quiz

WEEK 4


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!


16 videos, 2 readings expand


  1. Video: Using Visualization Science to Influence Business Decisions
  2. Video: The Storyboarding Hourglass
  3. Video: Making Your Data Story Come Alive
  4. Video: Storyboarding Your Presentation
  5. Video: The Best Stress-Testers are Teams
  6. Video: Overgeneralization and Sample Bias
  7. Video: Misinterpretations Due to Lack of Controls
  8. Video: Correlation Does Not Equal Causation
  9. Video: How Correlations Impact Business Decisions
  10. Video: Choosing Visualizations for Story Points
  11. Video: The Neuroscience of Visual Perception Can Make or Break Your Visualization
  12. Video: Misinterpretations Caused by Colorbars
  13. Video: Visual Contrast Directs Where Your Audience Looks
  14. Reading: Week 4 Additional Resources: Designing and Delivering an Effective Business Presentation
  15. Video: Formatting Slides to Communicate Data Stories
  16. Video: Formatting Presentations to Communicate Data Stories
  17. Video: Delivering Your Data Story
  18. Reading: Feedback Survey

Graded: Week 4 Quiz

WEEK 5


Final Project



Welcome to week 5! This week you will complete your final project. This assignment requires you to submit a recording of yourself giving a 4-5 minute presentation in which you present a data-driven business process change proposal to Dognition company management about how to increase the numbers of tests users complete. Students will give a short, peer-reviewed business presentation that uses a specified chart in Tableau. The final project will assess your mastery of the following: <p> <ul><li>Demonstrated understanding the Tableau functions discussed in this course</li><li>Adapting visualizations to make them maximally communicative</li><li>Storyboarding skills</li> <li>Translating your story into a presentation ready for the boardroom</li><li>Effective presentation delivery</li><li>Evaluating business presentations</ul></li><p> Remember to refer to the Background Information for Peer Review Assignment on the course web site before you begin. This final course project is a comprehensive assessment covering all of the course material and will take approximately 6-8 hours to complete.<p>As always, if you have any questions, post them to the Discussions. Thank you for your contributions to this final project!<p>


2 readings expand


  1. Reading: Background Information for Peer Review Assignment
  2. Reading: Feedback Survey

Graded: Recommendations for Dognition Business Process Change

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