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使用Tableau進行數據可視化專項課程

Data Visualization with Tableau

Visualize Business Data with Tableau. Create powerful business intelligence reports

加州大學戴維斯分校

Coursera

計算機

簡單(初級)

4 個月

本課程由Coursera和Linkshare共同提供
  • 英語
  • 971

課程概況

In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.

This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau’s library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.

By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.

包含課程

課程1
Fundamentals of Visualization with Tableau

In this first course of the specialization, you will discover just what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth. No prior technical or analytical background is required. The course will guide you through the steps necessary to create your first visualization story from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.

課程2
Essential Design Principles for Tableau

In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. You will assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals. You will apply effective best practice design principles to your data visualizations and be able to illustrate examples of strategic use of contrast to highlight important elements. You will evaluate pre-attentive attributes and why they are important in visualizations. You will exam the importance of using the "right" amount of color and in the right place and be able to apply design principles to de-clutter your data visualization.

課程3
Visual Analytics with Tableau

In this third course of the specialization, we’ll drill deeper into the tools Tableau offers in the areas of charting, dates, table calculations and mapping. We’ll explore the best choices for charts, based on the type of data you are using. We’ll look at specific types of charts including scatter plots, Gantt charts, histograms, bullet charts and several others, and we’ll address charting guidelines. We’ll define discrete and continuous dates, and examine when to use each one to explain your data. You’ll learn how to create custom and quick table calculations and how to create parameters. We’ll also introduce mapping and explore how Tableau can use different types of geographic data, how to connect to multiple data sources and how to create custom maps.

課程4
Creating Dashboards and Storytelling with Tableau

Leveraging the visualizations you created in the previous course, Visual Analytics with Tableau, you will create dashboards that help you identify the story within your data, and you will discover how to use Storypoints to create a powerful story to leave a lasting impression with your audience. You will balance the goals of your stakeholders with the needs of your end-users, and be able to structure and organize your story for maximum impact. Throughout the course you will apply more advanced functions within Tableau, such as hierarchies, actions and parameters to guide user interactions. For your final project, you will create a compelling narrative to be delivered in a meeting, as a static report, or in an interactive display online.

預備知識

For the beginner data visualization person, but must be comfortable working with data and datasets.

常見問題

退款政策是如何規定的?

如果訂閱,您可以獲得 7 天免費試聽,在此期間,您可以取消課程,無需支付任何罰金。在此之后,我們不會退款,但您可以隨時取消訂閱。請閱讀我們完整的退款政策。

我可以只注冊一門課程嗎?

可以!點擊您感興趣的課程卡開始注冊即可。注冊并完成課程后,您可以獲得可共享的證書,或者您也可以旁聽該課程免費查看課程資料。如果您訂閱的課程是某專項課程的一部分,系統會自動為您訂閱完整的專項課程。訪問您的學生面板,跟蹤您的進度。

有助學金嗎?

是的,Coursera 可以為無法承擔費用的學生提供助學金。通過點擊左側“注冊”按鈕下的“助學金”鏈接可以申請助學金。您可以根據屏幕提示完成申請,申請獲批后會收到通知。您需要針對專項課程中的每一門課程完成上述步驟,包括畢業項目。了解更多。

我可以免費學習課程嗎?

完成注冊課程后,您可以學習專項課程中的所有課程,并且完成作業后可以獲得證書。如果您只想閱讀和查看課程內容,可以免費旁聽該課程。如果您無法承擔課程費用,可以申請助學金。

此課程是 100% 在線學習嗎?是否需要現場參加課程?

此課程完全在線學習,無需到教室現場上課。您可以通過網絡或移動設備隨時隨地訪問課程視頻、閱讀材料和作業。

完成專項課程后我會獲得大學學分嗎?

此專項課程不提供大學學分,但部分大學可能會選擇接受專項課程證書作為學分。查看您的合作院校了解詳情。

How do I complete the Specialization?

To complete to Specialization you must earn a Verified Certificate in all 3 courses and successfully complete the Capstone Project course.

What resources will I need for this Specialization?

Course one uses Tableau Public, which is free software that you can download by visiting: https://public.tableau.com/s/

Courses two, three, four, and the Capstone will require the full desktop version of Tableau. Learners enrolled in these courses will be given a free student license and instructions to download the software.

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