关于此课程： 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.
此课程适用人群： This course is primary targeted at anyone who can analyze data and want to gain experience in presenting data visually using Tableau.
制作方： University of California, Davis
教学方： Suk S. Brar, M.B.A., Lead Business Consultant
Blue Shield of California
教学方： Govind Acharya, Principal Analyst
Budget and Institutional Analysis
| 基本信息 | 课程 1（共 5 门，Data Visualization with Tableau Specialization ） |
| 级别 | 初级 |
| 承诺学习时间 | 4周的学习时间，每周需花费3-5小时 |
| 语言 | English |
| 如何通过 | 通过所有计分作业以完成课程。 |
| 用户评分 |
授课大纲
第 1 周
Getting Started & Introduction to Data Visualization
Welcome to this first module, where you will begin to discover the power of data visualization. You will define the meaning and purpose of data visualization and explore the various types of data visualization tools, beyond Tableau. You will install Tableau on your own device and create your first visualization.
6 个视频, 2 个阅读材料
- 视频: Introduction to Data Visualization
- Leyendo: Introduction to Data Visualization
- 视频: What is Data Visualization and Why Do We Do It?
- Cuadro de aviso de la discusión: Data Visualization Challenges
- 视频: Tools for Data Visualization
- Cuadro de aviso de la discusión: Visualization Tools
- Cuadro de aviso de la discusión: Python and R
- 视频: Installing Tableau
- Cuadro de aviso de la discusión: Installing Tableau
- 视频: Creating Your First Visualization
- Cuadro de aviso de la discusión: Creating Your First Visualization (Activity)
- Leyendo: Interview with Dr. Ben Shneiderman (30 mins)
- Cuadro de aviso de la discusión: Dr. Shneiderman's Key Elements
已评分: Introduction to Data Visualization
第 2 周
Exploring and Navigating Tableau
With the last module, you were able to create your first visualization through guided practice. The secret to doing visualizations is really knowing the tool you will be using. For this module, you will explore and navigate the Tableau interface and be able to use specific tools as you begin your visualization journey.
5 个视频, 1 个阅读材料
- 视频: Importing Visualizations
- Cuadro de aviso de la discusión: Downloading a Visualization
- 视频: Navigating the Tableau Public's Software - Part 1
- 视频: Navigating the Tableau Public's Software - Part 2
- 视频: Navigating the Tableau Public's Software - Part 3
- Cuadro de aviso de la discusión: Navigating Tableau
- Leyendo: Additional Readings
已评分: Exploring and Navigating Tableau
第 3 周
Making Data Connections
Creating visualizations require data and in this module, you will discuss the various data sources for visualization and specifically what can be used in Tableau. You will prepare your data and identify the types of data connections possible with Tableau. You will be able to connect and merge to multiple data sources which can help make your visualizations more powerful.
5 个视频, 2 个阅读材料
- 视频: Preparing Your Data For Import
- 视频: Primary Types of Connections
- 视频: Preparing Your Data
- 视频: Connecting and Merging Multiple Data Sources
- Cuadro de aviso de la discusión: Tableau Public Sample Data Sets
- Cuadro de aviso de la discusión: Tips to Connecting to Data
- Leyendo: TDE or Live? When to Use Tableau Data Extracts (or not)
- Leyendo: Tableau - Extract Your Data
已评分: Connecting to Multiple Data Sources
已评分: Making Data Connections
第 4 周
Context of Data Visualization & Course Wrap-Up
Data visualization is about telling a story using data. However, before you can be successful at data visualization, you must understand the "who", "what", and "how" of data context. In this final module, you will be able to determine who your audience will be and what your relationship to them is. You will analyze a real world application of data context and be able to write out a visualization story based on data context.
5 个视频, 1 个阅读材料
- 视频: The "Who, What, and How" of Data Visualization
- Leyendo: Resonate - Present Visual Stories that Transform Audiences
- 视频: Illustration of the "Who, What, and How"
- Cuadro de aviso de la discusión: Visualization of the Day Exercise
- 视频: Context of Data Visualization
- Cuadro de aviso de la discusión: Context of Data Visualization (Activity)
- 视频: Course Wrap-Up
- Cuadro de aviso de la discusión: Course Reflection
已评分: Storyboarding Your Visualization
已评分: Context of Data Visualization
常见问题解答
运作方式
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
制作方
University of California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
价格
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| 访问课程材料 | 可用 |
| 访问评分的材料 | 可用 |
| 收到最终成绩 | 可用 |
| 获得可共享的课程证书 | 可用 |
评分和审阅
Overall, a good introduction. I would have liked to get more in depth, but I suppose that will come in later courses.
It is a good course for getting-to-know the fundamentals of tableau software but it lacks assignments.
I loved the course and their methodical careful way of extending the knowledge needed to begin this exciting journey - thank you professors. I look forward to the next course.
SC
For me it has too much theory knowledge.