LiveLessons | Visual Analytics Fundamentals [FCO]

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size760.6 MB
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  • Last checkedApr. 01st '23
  • Date uploadedApr. 01st '23
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LiveLessons - Visual Analytics Fundamentals [FCO]



About

A Visual Introduction to Visual Analytics

Nearly 4 Hours of Video Instruction

Overview:

Visual Analytics Fundamentals LiveLessons is a practical, hands-on guide to learning the basics of visual analytics. After you finish the videos you will be able to start building compelling visual data narratives using Tableau 2022.

Learn How To:

- Navigate the Tableau interface
- Understand the role of context in visual analytic storytelling
- Decide which type of basic chart to use with type of data
- Use maps to represent data
- Make good design decisions regarding color, lines, and shapes
- Prepare your data and storyboard your visualization
- Use advanced visualization formats

Who Should Take This Course:

- Analysts who need to share the results of their data discovery or analysis
- Students communicating data for reports or presentations
- Teachers helping learners (of any age) to cultivate visual data literacy
- Executives and business managers reporting data-driven results or metrics
- Journalists giving data the starring role in their editorials

Course Requirements:

- A willingness to learn how to tell stories through data
- Access to Tableau Desktop (Windows or Mac), version 2022 or higher

Skill Level:

- Beginner
- Intermediate

Instructor(s)

Lindy Ryan is passionate about telling stories with data. She specializes in translating raw data into insightful stories through carefully curated visuals and engaging narrative frameworks. Lindy teaches courses in visual analytics, data visualization, and product design in the Professional Science Master’s program at Rutgers, the State University of New Jersey. She also supports Western State Connecticut’s MFA writing program as guest faculty to mentor aspiring writers working in their second genre. Lindy previously taught in the Montclair State University (MSU) Business Analytics program, where she received the MSU Professing Excellence Award, which recognizes professors’ teaching excellence, particularly those who inspire and motivate students. She has been a Tableau user since 2012. Lindy is the author of The Visual Imperative: Creating a Culture of Visual Discovery (Elsevier Morgan Kaufmann, 2016) and Visual Data Storytelling with Tableau (Pearson Addison-Wesley, 2018), as well as numerous papers, book chapters, and conference presentations worldwide.

General Info:

Author(s)

: Lindy Ryan

Language

: English

Released

: February 2023

Videos Duration

: 4h

Publisher(s)

: Addison-Wesley Professional

ISBN

: 0138189412

Course Source

: https://www.oreilly.com/library/view/visual-analytics-fundamentals/9780138189419/

Files:

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  • Introduction
    • 001. Visual Analytics Fundamentals Introduction.mp4 (46.5 MB)
    Lesson 1 Welcome to Visual Analytics
    • 001. Topics.mp4 (4.4 MB)
    • 002. 1.1 A visual revolution.mp4 (19.7 MB)
    • 003. 1.2 From data visualization to data storytelling.mp4 (16.0 MB)
    • 004. 1.3 State of the industry.mp4 (14.4 MB)
    • 005. 1.4 Bridging the gap.mp4 (19.4 MB)
    Lesson 10 Closing Thoughts
    • 001. Topics.mp4 (2.9 MB)
    • 002. 10.1 Five steps to visual data sorytelling.mp4 (13.0 MB)
    • 003. 10.2 The important role of feedback.mp4 (8.5 MB)
    • 004. 10.3 Ongoing learning.mp4 (5.4 MB)
    Lesson 2 The Power of Visual Analytics
    • 001. Topics.mp4 (4.2 MB)
    • 002. 2.1 The science of storytelling.mp4 (27.2 MB)
    • 003. 2.2 The power of stories.mp4 (47.7 MB)
    Lesson 3 Getting Started with Tableau
    • 001. Topics.mp4 (5.3 MB)
    • 002. 3.1 The Tableau product portfolio.mp4 (12.3 MB)
    • 003. 3.2 Connection to data.mp4 (32.5 MB)
    • 004. 3.3 Navigating the Tableau interface.mp4 (21.4 MB)
    Lesson 4 Keeping Visual Analytics in Context
    • 001. Topics.mp4 (4.5 MB)
    • 002. 4.1 Seeing context in action.mp4 (37.4 MB)
    • 003. 4.2 Exploratory versus explanatory analysis.mp4 (7.6 MB)
    • 004. 4.3 Structuring visual analytic stories.mp4 (9.6 MB)
    • 005. 4.4 Audience analysis for storytelling.mp4 (30.5 MB)
    Lesson 5 Fundamental Data Visualizations
    • 001. Topics.mp4 (4.4 MB)
    • 002. 5.1 Bar charts.mp4 (12.8 MB)
    • 003. 5.2 Line charts.mp4 (7.1 MB)
    • 004. 5.3 Pie and donut charts.mp4 (24.8 MB)
    • 005. 5.4 Scatterplots.mp4 (8.3 MB)
    • 006. 5.5 Packed bubble charts.mp4 (10.5 MB)
    • 007. 5.6 Tree maps.mp4 (11.3 MB)
    • 008. 5.7 Heat maps.mp4 (7.0 MB)
    Lesson 6 Fundamental Maps
    • 001. Topics.mp4 (7.8 MB)
    • 002. 6.1 Connecting to geographic data.mp4 (2.0 MB)
    • 003. 6.2 Assigning geographic roles.mp4 (9.5 MB)
    • 004. 6.3 Creating geographic hierarchies.mp4 (5.1 MB)
    • 005. 6.4 Proportional symbol maps.mp4 (10.1 MB)
    • 006. 6.5 Choropleth maps.mp4 (9.2 MB)
    Lesson 7 Design Tips for Curating Visual Analytics
    • 001. Topics.mp4 (3.4 MB)
    • 002. 7.1 Our visual horsepower.mp4 (12.4 MB)
    • 003. 7.2 Visual design building blocks Color.mp4 (31.0 MB)
    • 004. 7.3 Visual design building blocks Lines.mp4 (10.4 MB)
    • 005. 7.4 Visual design building blocks Shapes.mp4 (8.2 MB)
    Lesson 8 Structuring Analysis for Storytelling with Prep, Dashboards, and Stories
    • 001. Topics.mp4 (4.1 MB)
    • 002. 8.1 Basic data prep in Tableau (Data Interpreter).mp4 (16.4 MB)
    • 003. 8.2 Pivoting data.mp4 (18.7 MB)
    • 004. 8.3 Storyboarding your visual analytics.mp4 (30.0 MB)
    • 005. 8.4 The storyboarding process.mp4 (8.5 MB)
    Lesson 9 Beyond Fundamentals Advanced Visualizations
    • 001. Topics.mp4 (3.2 MB)
    • 002. 9.1 Timelines.mp4 (13.5 MB)
    • 003. 9.2 Bar-in-bar charts.mp4 (11.9 MB)
    • 004. 9.3 Likert visualizations.mp4 (4.6 MB)
    • 005. 9.4 One hundred perceent stacked bar chart.mp4 (5.3 MB)
    • 006. 9.5 Divergent stacked bar chart.mp4 (34.4 MB)
    • 007. 9.6 Lollipop chart.mp4 (12.5 MB)
    • 008. 9.7 Word clouds.mp4 (7.4 MB)
    Summary
    • 001. Visual Analytics Fundamentals Summary.mp4 (4.3 MB)

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