À propos de ce cours : 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.
Les destinataires de ce cours : This course is primary targeted for newcomers to data visualization with no prior experience using Tableau.
Créé par : University of California, Davis
Enseigné par : Suk S. Brar, M.B.A., Lead Business Consultant
Blue Shield of CaliforniaEnseigné par : Govind Acharya, Principal Analyst
Budget and Institutional Analysis
| Informations de base | Cours 1 de 5 dans Data Visualization with Tableau Specialization |
| Niveau | Débutant |
| Engagement | 4 weeks of study, 3-5 hours/week |
| Langue | English |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
Programme de cours
SEMAINE 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 vidéos, 2 lectures
- Vidéo: Introduction to Data Visualization
- Reading: Introduction to Data Visualization
- Vidéo: What is Data Visualization and Why Do We Do It?
- Discussion Prompt: Data Visualization Challenges
- Vidéo: Tools for Data Visualization
- Discussion Prompt: Visualization Tools
- Discussion Prompt: Python and R
- Vidéo: Installing Tableau
- Discussion Prompt: Installing Tableau
- Vidéo: 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
Noté: Introduction to Data Visualization
SEMAINE 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 vidéos, 1 lecture
- Vidéo: Importing Visualizations
- Discussion Prompt: Downloading a Visualization
- Vidéo: Navigating the Tableau Public's Software - Part 1
- Vidéo: Navigating the Tableau Public's Software - Part 2
- Vidéo: Navigating the Tableau Public's Software - Part 3
- Discussion Prompt: Navigating Tableau
- Reading: Additional Readings
Noté: Exploring and Navigating Tableau
SEMAINE 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 vidéos, 2 lectures
- Vidéo: Preparing Your Data For Import
- Vidéo: Primary Types of Connections
- Vidéo: Preparing Your Data
- Vidéo: 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
Noté: Connecting to Multiple Data Sources
Noté: Making Data Connections
SEMAINE 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 vidéos, 1 lecture
- Vidéo: The "Who, What, and How" of Data Visualization
- Reading: Resonate - Present Visual Stories that Transform Audiences
- Vidéo: Illustration of the "Who, What, and How"
- Discussion Prompt: Visualization of the Day Exercise
- Vidéo: Context of Data Visualization
- Discussion Prompt: Context of Data Visualization (Activity)
- Vidéo: Course Wrap-Up
- Discussion Prompt: Course Reflection
Noté: Storyboarding Your Visualization
Noté: Context of Data Visualization
FAQ
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Créateurs
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.
Tarification
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
Notation et examens
One of the best course for the beginners in the field of data visualization
this course started me on my road to making more money
Good introduction to some of the theory behind visualizations. Not a lot of Tableau; that will come in subsequent courses. This one is largely theory.
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FK
excellent introduction, much better than other MMO courses