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Specialization Elective
Credit Hour : 3
Synopsis
The aim of the course will be to create data analysts that can identify patterns and display information from data from several sources. The course will encourage statistical thinking by a series of examples of good and not-so-good visualisations and will guide students to develop their creativity within a scientific framework. Hands-on experience in using data analytics software tools for visualisation will also be covered.
This course will cover the fundamentals of effective data-driven storytelling. Students will learn how to detect and articulate the stories behind datasets and communicate data findings in visual, oral, and written contexts for various audiences and public. Topics to be explored include Introduction to Exploratory Data Analysis and Visualization, Pattern Discovery, Graphical Visualization, Testing data quality through graphs, Storytelling with Data and Case Studies in Exploratory Data Analysis for different applications
Course Content
Chapter 1 The Importance Of Context
• Exploratory vs. explanatory analysis
• Who, what, and how
Chapter 2 Choosing An Effective Visual
• Simple text
• Tables
• Graphs
• Points
• Lines
• Bars
• Area
• Other types of graphs
Chapter 3 Clutter
• Cognitive load
• Clutter
• Gestalt principles of visual perception
• Lack of visual order
• Non-strategic use of contrast
• Decluttering: step-by-step
Chapter 4 Focus The Audience’s Attention
• You see with your brain
• A brief lesson on memory
• Preattentive attributes signal where to look
• Size
• Color
• Position on page
Chapter 5 Think Like A Designer
• Affordances
• Accessibility
• Aesthetics
• Acceptance
Chapter 6 Lessons In Storytelling
• The magic of story
• Constructing the story
• The narrative structure
• The power of repetition
• Tactics to help ensure that the story is clear
Chapter 7 Pulling It All Together
• Understand The Context
• Choose An Appropriate Display
• Eliminate Clutter
• Draw Attention Where You Want Your Audience To Focus
• Think Like A Designer
• Tell A Story
References
Kieran Healy. 2019. Fundamentals of Data Visualization : A Primer on Making Informative and Compelling Figures. 1st edition. O'Reilly Media, Inc, USA. ISBN10 1492031089
Kieran Healy. 2018. Data Visualization : A Practical Introduction. 1st edition. Princeton University Press. ISBN10 0691181624
Ali Fenwick, Marybeth Sandell & Jose Berengueres. 2019. Introduction to Data Visualization & Storytelling : A Guide For The Data Scientist. Independently Publisher. 1085827836
Prepared By
Puan Rusnida Romli
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