Об этом курсе
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Специализация
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Прибл. 25 часа на выполнение

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Английский

Субтитры: Английский

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Data AnalysisTableau SoftwareData Visualization (DataViz)Visualization (Computer Graphics)
Специализация
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Прибл. 25 часа на выполнение

Предполагаемая нагрузка: 5 weeks, 6-8 hours per week...
Доступные языки

Английский

Субтитры: Английский

Программа курса: что вы изучите

Неделя
1
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1 ч. на завершение

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 видео ((всего 9 мин.)), 5 материалов для самостоятельного изучения
Video2 видео
Welcome to the Course!4мин
Reading5 материала для самостоятельного изучения
Specialization Overview10мин
Course Overview10мин
FAQ (Frequently Asked Questions)10мин
Special Thanks!10мин
About the Course Team10мин
Часов на завершение
2 ч. на завершение

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 видео ((всего 60 мин.)), 2 материалов для самостоятельного изучения, 1 тест
Video8 видео
Asking the Right Questions5мин
Rock Projects5мин
S.M.A.R.T. Objectives9мин
Listening to Stakeholders During Elicitation8мин
Stakeholder Expectations Matter8мин
Using SPAPs to Structure Your Thinking, Part 17мин
Using SPAPs to Structure Your Thinking, Part 26мин
Reading2 материала для самостоятельного изучения
Week 1 Additional Resources10мин
SPAP Graphic10мин
Quiz1 практического упражнения
Week 1 Quiz30мин
Неделя
2
Часов на завершение
8 ч. на завершение

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 видео ((всего 130 мин.)), 6 материалов для самостоятельного изучения, 2 тестов
Video16 видео
Why Tableau?8мин
Meet Your Salary Data3мин
Meet Your Dognition Data11мин
Our Analysis Plan39s
Salaries of Data-Related Jobs: Your First Graph11мин
Formatting and Exporting Your First Graph6мин
Digging Deeper Using the Rows and Columns Shelves13мин
Understanding the Marks Card11мин
Removing Outliers Using Scatterplot and Filtering and Groups13мин
Analyzing Data-Related Salaries in Different States Using Filtering and Groups8мин
When to Use Line Graphs2мин
Dates as Hierarchical Dimensions or Measures8мин
Analyzing Data-Related Salaries Over Time Using Date Hierarchies8мин
Analyzing Data-Related Salaries Over Time Using Trend Lines9мин
Analysing Data-Related Salaries Over Time Using Box Plots10мин
Reading6 материала для самостоятельного изучения
Written Instructions to Install Tableau Desktop2мин
Salary Data Set, Description, and Analysis Plan10мин
Dognition Data Set, Description, and Analysis Plan10мин
The Effects of Outliers Video10мин
Introduction to Linear Regression10мин
Week 2 Practice Exercisess
Quiz1 практического упражнения
Week 2 Quizs
Неделя
3
Часов на завершение
7 ч. на завершение

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 видео ((всего 98 мин.)), 3 материалов для самостоятельного изучения, 1 тест
Video12 видео
Tableau Calculation Types4мин
How to Write Calculations11мин
Calculations that Make Filtering More Efficient8мин
Identifying Companies that Pay Less than the Prevailing Wage9мин
Blending Price Parity Data with Our Salary Data4мин
Adjusting Data-related Salaries for Cost of Living10мин
Calculating Which States Have the Top Adjusted Salaries within Job Subcategories10мин
Using Parameters to Define Top States7мин
Calculating Which Companies Have the Top Adjusted Salaries within Job Subcategories8мин
Designing a Dashboard to Determine Where You should Apply for Data-related Job12мин
Visual Story Points in Tableau10мин
Reading3 материала для самостоятельного изучения
Data Sets Needed in Week 310мин
Week 3 Additional Resources: Examples of Tableau Dashboards and Stories10мин
Week 3 Practice Exercisess
Quiz1 практического упражнения
Week 3 Quizs
Неделя
4
Часов на завершение
4 ч. на завершение

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 видео ((всего 96 мин.)), 1 материал для самостоятельного изучения, 1 тест
Video16 видео
The Storyboarding Hourglass5мин
Making Your Data Story Come Alive9мин
Storyboarding Your Presentation6мин
The Best Stress-Testers are Teams3мин
Overgeneralization and Sample Bias5мин
Misinterpretations Due to Lack of Controls3мин
Correlation Does Not Equal Causation6мин
How Correlations Impact Business Decisions8мин
Choosing Visualizations for Story Points7мин
The Neuroscience of Visual Perception Can Make or Break Your Visualization3мин
Misinterpretations Caused by Colorbars4мин
Visual Contrast Directs Where Your Audience Looks8мин
Formatting Slides to Communicate Data Stories8мин
Formatting Presentations to Communicate Data Stories5мин
Delivering Your Data Story5мин
Reading1 материала для самостоятельного изучения
Week 4 Additional Resources: Designing and Delivering an Effective Business Presentation45мин
Quiz1 практического упражнения
Week 4 Quiz30мин
4.7
Рецензии: 380Chevron Right
Формирование карьерного пути

38%

начал новую карьеру, пройдя эти курсы
Карьерные преимущества

36%

получил значимые преимущества в карьере благодаря этому курсу
Продвижение по карьерной лестнице

17%

стал больше зарабатывать или получил повышение

Лучшие рецензии

автор: 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.

автор: 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!

Преподавателя

Avatar

Daniel Egger

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

Jana Schaich Borg

Assistant Research Professor
Social Science Research Institute

О 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....

О специализации ''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

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