Data visualization has rapidly become a critical part of business analytics and business communications. Without visualization, the numbers and statistics of analytics are difficult to interpret and incomprehensible to many who need to turn data into knowledge. The advent of big data, with increasing volume and velocity of data, emphasizes visualization as a technique to compress large volumes of data into digestible presentations and observe streaming data in motion.
Elegant and well-designed data visuals often appear to be easy because skilled visual developers are able to hide the complexities and hard work behind the scenes. Business intelligence and business analytics professionals need to communicate as effectively in visual forms as they do with their verbal and written communications skills. Get started by learning the fundamentals of data visualization.
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Prerequisites
There are no prerequisites for this course.
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Outline
Module 1: Data Visualization Concepts and Principles
- Communication and Visualization
- Communicating with Words
- Communicating with Numbers
- Communicating with Visuals
- Communication and Data
- The Purpose of Data
- The Content of Data
- Uncertainty in Data
- Data Visualization Components
- The Parts of Data Visuals
- Visual Cues
- Placement
- Lines
- Shapes
- Color
- Human Perception
- Coordinate Systems
- Cartesian Coordinates
- Polar Coordinates
- Geographic Coordinates
- Measurement Scales
- Linear and Logarithmic Scales
- Ratio and Interval Scales
- Percent Scales
- Time Scales
- Visual Context
- Explicit and Implicit Context
Module 2: Data Visualization Techniques
- Data Visualization Functions
- What We Visualize
- Comparisons
- Proportions
- Relationships
- Patterns
- Data Visualization Methods
- How We Visualize
- Tables
- Plots
- Maps
- Infographics
- Common Charts and Graphs
- Line Graphs
- Column Graphs
- Bar Graphs
- Pictographs
- Pie Charts and Donut Charts
- Choropleth Maps
- Scatter Graphs
- Area Graphs
- Surface Graphs
- Bubble Graphs
- Visualization with Purpose
- What Do You Want to Show?
- Comparisons
- Proportions
- Relationships
- Patterns
- Choosing Charts and Graphs
- From What to How
- From Questions to Visuals
Module 3: Visual Design
- Data Preparation
- Getting Ready for Data Visualization
- Design Techniques
- Design Objectives
- Object Properties
- Spatial Properties
- Visual Hierarchy
- Pre-Attentive Processing
- Visual Design Considerations
- Colors and Fonts
- Size and Scale
- Two-Dimensional vs. Three Dimensional
- Design with Impact
- Purpose
- People
- Encodings and Cues
- Good Visualizations
Module 4: Applied Data Visualization
- Visual Data Exploration
- Profiling Data
- Data Exploration as a Process
- Exploring Categorical Data
- Exploring Time Series Data
- Exploring Spatial Data
- Visual Data Analysis
- From Questions to Answers
- Visual Reporting
- Dashboards, Scorecards, and Reports
- Specialty Graphs
- Small Multiples
- Infographics
- Visual Design plus Graphic Design
- Simple Graphs vs. Infographics
- Design
- Team and Process
- Data Storytelling
- Statistics vs. Stories
- Visual with Narrative
Module 5. Summary and Conclusion
- Data Visualization Tools
- Best Practices in Visualization
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