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完成時間(小時)

完成時間大約為25 小時

建議:5 weeks, 6-8 hours per week...
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您將獲得的技能

Data AnalysisTableau SoftwareData Visualization (DataViz)Visualization (Computer Graphics)
專項課程
100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為25 小時

建議:5 weeks, 6-8 hours per week...
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英語(English)

字幕:英語(English)...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 1 小時

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 個視頻(共 9 分鐘), 5 個閱讀材料
Video2 個視頻
Welcome to the Course!4分鐘
Reading5 個閱讀材料
Specialization Overview10分鐘
Course Overview10分鐘
FAQ (Frequently Asked Questions)10分鐘
Special Thanks!10分鐘
About the Course Team10分鐘
完成時間(小時)
完成時間為 2 小時

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 個視頻(共 60 分鐘), 2 個閱讀材料, 1 個測驗
Video8 個視頻
Asking the Right Questions5分鐘
Rock Projects5分鐘
S.M.A.R.T. Objectives9分鐘
Listening to Stakeholders During Elicitation8分鐘
Stakeholder Expectations Matter8分鐘
Using SPAPs to Structure Your Thinking, Part 17分鐘
Using SPAPs to Structure Your Thinking, Part 26分鐘
Reading2 個閱讀材料
Week 1 Additional Resources10分鐘
SPAP Graphic10分鐘
Quiz1 個練習
Week 1 Quiz30分鐘
2
完成時間(小時)
完成時間為 8 小時

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 個視頻(共 130 分鐘), 6 個閱讀材料, 2 個測驗
Video16 個視頻
Why Tableau?8分鐘
Meet Your Salary Data3分鐘
Meet Your Dognition Data11分鐘
Our Analysis Plan分鐘
Salaries of Data-Related Jobs: Your First Graph11分鐘
Formatting and Exporting Your First Graph6分鐘
Digging Deeper Using the Rows and Columns Shelves13分鐘
Understanding the Marks Card11分鐘
Removing Outliers Using Scatterplot and Filtering and Groups13分鐘
Analyzing Data-Related Salaries in Different States Using Filtering and Groups8分鐘
When to Use Line Graphs2分鐘
Dates as Hierarchical Dimensions or Measures8分鐘
Analyzing Data-Related Salaries Over Time Using Date Hierarchies8分鐘
Analyzing Data-Related Salaries Over Time Using Trend Lines9分鐘
Analysing Data-Related Salaries Over Time Using Box Plots10分鐘
Reading6 個閱讀材料
Written Instructions to Install Tableau Desktop2分鐘
Salary Data Set, Description, and Analysis Plan10分鐘
Dognition Data Set, Description, and Analysis Plan10分鐘
The Effects of Outliers Video10分鐘
Introduction to Linear Regression10分鐘
Week 2 Practice Exercises分鐘
Quiz1 個練習
Week 2 Quiz分鐘
3
完成時間(小時)
完成時間為 7 小時

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 個視頻(共 98 分鐘), 3 個閱讀材料, 1 個測驗
Video12 個視頻
Tableau Calculation Types4分鐘
How to Write Calculations11分鐘
Calculations that Make Filtering More Efficient8分鐘
Identifying Companies that Pay Less than the Prevailing Wage9分鐘
Blending Price Parity Data with Our Salary Data4分鐘
Adjusting Data-related Salaries for Cost of Living10分鐘
Calculating Which States Have the Top Adjusted Salaries within Job Subcategories10分鐘
Using Parameters to Define Top States7分鐘
Calculating Which Companies Have the Top Adjusted Salaries within Job Subcategories8分鐘
Designing a Dashboard to Determine Where You should Apply for Data-related Job12分鐘
Visual Story Points in Tableau10分鐘
Reading3 個閱讀材料
Data Sets Needed in Week 310分鐘
Week 3 Additional Resources: Examples of Tableau Dashboards and Stories10分鐘
Week 3 Practice Exercises分鐘
Quiz1 個練習
Week 3 Quiz分鐘
4
完成時間(小時)
完成時間為 4 小時

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 個視頻(共 96 分鐘), 1 個閱讀材料, 1 個測驗
Video16 個視頻
The Storyboarding Hourglass5分鐘
Making Your Data Story Come Alive9分鐘
Storyboarding Your Presentation6分鐘
The Best Stress-Testers are Teams3分鐘
Overgeneralization and Sample Bias5分鐘
Misinterpretations Due to Lack of Controls3分鐘
Correlation Does Not Equal Causation6分鐘
How Correlations Impact Business Decisions8分鐘
Choosing Visualizations for Story Points7分鐘
The Neuroscience of Visual Perception Can Make or Break Your Visualization3分鐘
Misinterpretations Caused by Colorbars4分鐘
Visual Contrast Directs Where Your Audience Looks8分鐘
Formatting Slides to Communicate Data Stories8分鐘
Formatting Presentations to Communicate Data Stories5分鐘
Delivering Your Data Story5分鐘
Reading1 個閱讀材料
Week 4 Additional Resources: Designing and Delivering an Effective Business Presentation45分鐘
Quiz1 個練習
Week 4 Quiz30分鐘
4.7
職業方向

38%

完成這些課程後已開始新的職業生涯
工作福利

83%

通過此課程獲得實實在在的工作福利
職業晉升

17%

加薪或升職

熱門審閱

創建者 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.

創建者 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!

講師

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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

關於 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....

關於 Excel to MySQL: Analytic Techniques for Business 專項課程

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

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