Course Summary
Learn how to create effective data visualizations and perform visual analytics with this course. Gain skills in creating interactive dashboards, identifying patterns and trends, and communicating insights with data.Key Learning Points
- Learn to use popular data visualization tools such as Tableau and Excel
- Discover different types of charts and graphs for different types of data
- Understand how to design effective visualizations that tell a story with data
Related Topics for further study
- Data Visualization
- Visual Analytics
- Interactive Dashboards
- Pattern Identification
- Storytelling with Data
Learning Outcomes
- Create effective data visualizations using popular tools
- Identify patterns and trends in data through visual analytics
- Communicate insights with data through effective storytelling
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics
- Experience with Excel or a similar spreadsheet program
Course Difficulty Level
IntermediateCourse Format
- Online and self-paced
- Video lectures
- Hands-on exercises
Similar Courses
- Data Visualization with D3.js
- Data Analysis and Visualization Foundations
- Data Visualization with Python
Related Education Paths
Related Books
Description
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.
Knowledge
- Create a chart using Tableau
- Create dates using calculated fields
- Customize table calculations
- Customize and create dual layer maps
Outline
- Getting Started and Charting
- Visual Analytics with Tableau Introduction
- Introduction to Charting
- Tableau Charts
- Colors, Shapes, and Sizes
- Dual Line Charts
- Tableau Tooltip
- Charting Guidelines: Bar Charts, Line Graphs, Pie Charts
- Charting Guidelines: Maps, Scatter Plots, Gantt Charts, Bubble Charts
- Charting Guidelines: Histograms, Bullet Charts, Heat Maps and Highlight Tables
- Charting Guidelines: Treemaps and Box-and-Whisker Plots
- A Note from UC Davis
- Save Workbooks to Tableau Public
- Module 1: Visual Analytics with Tableau - Charting
- Dates
- Introduction to Dates
- Discrete vs. Continuous Dates
- Date Hierarchies
- Converting Discrete and Continuous Dates
- Tableau Calculated Fields
- Module 2: Visual Analytics with Tableau - Dates
- Table Calculations
- Introduction to Table Calculations
- Calculated Fields
- Quick Table Calculations
- Custom Table Calculations
- Filters
- Parameters
- Module 3: Visual Analytics with Tableau - Table Calculations
- Mapping
- Introduction to Mapping
- Working with Geographic Data
- Shapes, Colors, and Sizes
- Custom Mapping Techniques
- Custom Geocoding
- Dual Layer Mapping
- Course Summary
- Module 4: Visual Analytics with Tableau - Mapping
Summary of User Reviews
Discover the power of data visualization and analytics with this course! Students have praised the course for its comprehensive coverage of the subject matter and engaging teaching style. One key aspect that many users thought was good is the course's emphasis on real-world applications of data visualization and analytics.Pros from User Reviews
- Comprehensive coverage of the subject matter
- Engaging teaching style
- Emphasis on real-world applications of data visualization and analytics
- Interactive exercises and quizzes to reinforce learning
- High-quality video lectures
Cons from User Reviews
- Some users found the course to be too basic or introductory
- Limited opportunities for interaction with instructors or other students
- No certificate of completion offered for the free version of the course
- Some technical difficulties reported with the Coursera platform
- Course content may not be applicable to all industries or fields