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約26時間で修了

推奨:5 weeks, 6-8 hours per week...

英語

字幕:英語

習得するスキル

Data AnalysisTableau SoftwareData Visualization (DataViz)Visualization (Computer Graphics)

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

約26時間で修了

推奨:5 weeks, 6-8 hours per week...

英語

字幕:英語

シラバス - 本コースの学習内容

1
1時間で修了

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件のビデオ (合計9分), 5 readings
2件のビデオ
Welcome to the Course!4 分
5件の学習用教材
Specialization Overview10 分
Course Overview10 分
FAQ (Frequently Asked Questions)10 分
Special Thanks!10 分
About the Course Team10 分
2時間で修了

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件のビデオ (合計60分), 2 readings, 1 quiz
8件のビデオ
Asking the Right Questions5 分
Rock Projects5 分
S.M.A.R.T. Objectives9 分
Listening to Stakeholders During Elicitation8 分
Stakeholder Expectations Matter8 分
Using SPAPs to Structure Your Thinking, Part 17 分
Using SPAPs to Structure Your Thinking, Part 26 分
2件の学習用教材
Week 1 Additional Resources10 分
SPAP Graphic10 分
1の練習問題
Week 1 Quiz30 分
2
8時間で修了

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件のビデオ (合計130分), 6 readings, 2 quizzes
16件のビデオ
Why Tableau?8 分
Meet Your Salary Data3 分
Meet Your Dognition Data11 分
Our Analysis Plan39
Salaries of Data-Related Jobs: Your First Graph11 分
Formatting and Exporting Your First Graph6 分
Digging Deeper Using the Rows and Columns Shelves13 分
Understanding the Marks Card11 分
Removing Outliers Using Scatterplot and Filtering and Groups13 分
Analyzing Data-Related Salaries in Different States Using Filtering and Groups8 分
When to Use Line Graphs2 分
Dates as Hierarchical Dimensions or Measures8 分
Analyzing Data-Related Salaries Over Time Using Date Hierarchies8 分
Analyzing Data-Related Salaries Over Time Using Trend Lines9 分
Analysing Data-Related Salaries Over Time Using Box Plots10 分
6件の学習用教材
Written Instructions to Install Tableau Desktop2 分
Salary Data Set, Description, and Analysis Plan10 分
Dognition Data Set, Description, and Analysis Plan10 分
The Effects of Outliers Video10 分
Introduction to Linear Regression10 分
Week 2 Practice Exercises
1の練習問題
Week 2 Quiz
3
7時間で修了

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件のビデオ (合計98分), 3 readings, 1 quiz
12件のビデオ
Tableau Calculation Types4 分
How to Write Calculations11 分
Calculations that Make Filtering More Efficient8 分
Identifying Companies that Pay Less than the Prevailing Wage9 分
Blending Price Parity Data with Our Salary Data4 分
Adjusting Data-related Salaries for Cost of Living10 分
Calculating Which States Have the Top Adjusted Salaries within Job Subcategories10 分
Using Parameters to Define Top States7 分
Calculating Which Companies Have the Top Adjusted Salaries within Job Subcategories8 分
Designing a Dashboard to Determine Where You should Apply for Data-related Job12 分
Visual Story Points in Tableau10 分
3件の学習用教材
Data Sets Needed in Week 310 分
Week 3 Additional Resources: Examples of Tableau Dashboards and Stories10 分
Week 3 Practice Exercises
1の練習問題
Week 3 Quiz
4
4時間で修了

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件のビデオ (合計96分), 1 reading, 1 quiz
16件のビデオ
The Storyboarding Hourglass5 分
Making Your Data Story Come Alive9 分
Storyboarding Your Presentation6 分
The Best Stress-Testers are Teams3 分
Overgeneralization and Sample Bias5 分
Misinterpretations Due to Lack of Controls3 分
Correlation Does Not Equal Causation6 分
How Correlations Impact Business Decisions8 分
Choosing Visualizations for Story Points7 分
The Neuroscience of Visual Perception Can Make or Break Your Visualization3 分
Misinterpretations Caused by Colorbars4 分
Visual Contrast Directs Where Your Audience Looks8 分
Formatting Slides to Communicate Data Stories8 分
Formatting Presentations to Communicate Data Stories5 分
Delivering Your Data Story5 分
1件の学習用教材
Week 4 Additional Resources: Designing and Delivering an Effective Business Presentation45 分
1の練習問題
Week 4 Quiz30 分
5
4時間で修了

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> ...
1 reading, 1 quiz
1件の学習用教材
Background Information for Peer Review Assignment30 分
4.7
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人気のレビュー

by 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.

by 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

デューク大学(Duke University)について

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....

Excel` から MySQL: ビジネスのための分析テクニックの専門講座について

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` から MySQL: ビジネスのための分析テクニック

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