Acerca de este curso: 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.
Para quién es esta clase: This course is primary targeted for newcomers to data visualization with no prior experience using Tableau.
Creada por: University of California, Davis
Enseñado por: Suk S. Brar, M.B.A., Lead Business Consultant
Blue Shield of California
Enseñado por: Govind Acharya, Principal Analyst
Budget and Institutional Analysis
| Información básica | Curso 1 de 5 en Data Visualization with Tableau Specialization |
| Nivel | Principiante |
| Compromiso | 4 weeks of study, 3-5 hours/week |
| Idioma | English |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 1
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 videos, 2 lecturas
- Vídeo: Introduction to Data Visualization
- Reading: Introduction to Data Visualization
- Vídeo: What is Data Visualization and Why Do We Do It?
- Discussion Prompt: Data Visualization Challenges
- Vídeo: Tools for Data Visualization
- Discussion Prompt: Visualization Tools
- Discussion Prompt: Python and R
- Vídeo: Installing Tableau
- Discussion Prompt: Installing Tableau
- Vídeo: Creating Your First Visualization
- Discussion Prompt: Creating Your First Visualization (Activity)
- Reading: Interview with Dr. Ben Shneiderman (30 mins)
- Discussion Prompt: Dr. Shneiderman's Key Elements
Calificado: Introduction to Data Visualization
SEMANA 2
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 videos, 1 lectura
- Vídeo: Importing Visualizations
- Discussion Prompt: Downloading a Visualization
- Vídeo: Navigating the Tableau Public's Software - Part 1
- Vídeo: Navigating the Tableau Public's Software - Part 2
- Vídeo: Navigating the Tableau Public's Software - Part 3
- Discussion Prompt: Navigating Tableau
- Reading: Additional Readings
Calificado: Exploring and Navigating Tableau
SEMANA 3
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 videos, 2 lecturas
- Vídeo: Preparing Your Data For Import
- Vídeo: Primary Types of Connections
- Vídeo: Preparing Your Data
- Vídeo: Connecting and Merging Multiple Data Sources
- Discussion Prompt: Tableau Public Sample Data Sets
- Discussion Prompt: Tips to Connecting to Data
- Reading: TDE or Live? When to Use Tableau Data Extracts (or not)
- Reading: Tableau - Extract Your Data
Calificado: Connecting to Multiple Data Sources
Calificado: Making Data Connections
SEMANA 4
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 videos, 1 lectura
- Vídeo: The "Who, What, and How" of Data Visualization
- Reading: Resonate - Present Visual Stories that Transform Audiences
- Vídeo: Illustration of the "Who, What, and How"
- Discussion Prompt: Visualization of the Day Exercise
- Vídeo: Context of Data Visualization
- Discussion Prompt: Context of Data Visualization (Activity)
- Vídeo: Course Wrap-Up
- Discussion Prompt: Course Reflection
Calificado: Storyboarding Your Visualization
Calificado: Context of Data Visualization
Preguntas Frecuentes
Cómo funciona
Coursework
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Creadores
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.
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Calificaciones y revisiones
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.
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SC
For me it has too much theory knowledge.