VizIt Sydney 2025

Celia Fryar

University of San Francisco, �Data Divers LLC

​

Tableau Academic Ambassador

Add photo here

Please allow me to introduce myself…

Summary of recent years

Practitioner >> Education, Training & Engagement Specialist

Originally, database developer, then network systems engineer.� Managed accounts, staff, territories, and then dev & support biz unit.

Purpose: Students Get New Jobs! 75+ cohorts, 7k+ adult learners

2016 Hired as a tech SME (Education Outsider) � Favorite tech to teach: Visual Analytics, SQL & Python� Course, Classes, Webinars, Bootcamps, Immersives, etc… � Early Adopter Online (against my will … lol, was grateful later!)

Unique Immersive Experiences, with business community partnerships

University Experience:

UB 2023-2024 (another unique immersive)� USF BSOM: 2 years

Upskilling, transforming and sending to market!

Please allow me to introduce myself…

Clients specifying delivery methods, for student engagement & success

Diverse Learning styles. Scaffolding.� Interactive Learning. “I do, You do, We do”

Onboarding to Higher Ed Pedagogy! �� � � �

Focus on “Market Ready” - Blending with Features that got results!

� Real World datasets, Mimic Commercial Analytics � Toolset + Mindset, “Right Tool for the Task”� Next Level Portfolios (personalized websites with published work)� External Validation via Certificates

Shaping Influences for Education Methods & Pedagogy

2017 Tutorials, Interactive Homework Modules, � Redesigned and created 40 and 60 hour Analytics programs� 2020 Data Camp Courses - Instructional Design Modules � 2020 – 2024: Creation of full programs 1-3/year

What year was Tableau founded in?

2003

2005

2000

1999

2003

Changing Times

​

Paradigm Shift

Market Ready = AI Enabled

Disruption in Normal

​

Video Based Micro Content

​

ML Informed Personalization

​

Significant Changes in Learner Expectations

A new era of on-demand, learner-driven education.

Disruption in Normal

​

Need to Bridge �“How to” +

“Why” & “What If”

​

Generative Processing Experiences

Learners actively transform input into personalized, retrievable knowledge.

Reframing Success

Debate

Deliver

Design

Define

4D’s

Who was the author of the visual graphic that inspired Tableau’s company name?

Ryan�Sleeper

Steve�Wexler

Charles�Minard

Cole�Nussbaumer

Charles�Minard

Define

• Success, as measured by client (SOW)
• Instructional Role, Authority or Influencer
• Time & Money, Students’ connection to payment
• Distance to the goal
• Accountability (Responsibilities) for Completion
• Overrides and exceptions

Example Critical Success Factors

Define, Design, Deliver, Debate

$: Benefit of the job�Authority: SME & Influencer�Divided Attention�Capstone Projects�At risk? Very little

Define – Example Cohorts

Enterprises

$: Paid to be class member Authority: Decision Maker�Unwilling for Overtime�Capstone Projects�At risk? Loosing the job

$: Paid small stipend Authority: SME & Influencer�Unwilling for Overtime�Capstone Projects�At risk? Employment

$: Buying a Seat�Tend toward Entitlement

Authority: SME�OT competes with FTE�Capstone Projects�At risk? Employment

Underserved Market

Bootcamp

Hire, Train, Deploy

Define, Design, Deliver, Debate

Design

Go To Market directive … “Ready for Internships”�

• Prepare 4D’s Education Plan
• Model Analytics Architecture using Narratives
• Apply Interactive Mixed Modalities
• Logistics Purposeful Selections
• Reduce Cognititve Competition
• Appeal to Variety of Learning Styles
• Activities to Build Confidence with AI skills

Teaching Tableau in a AI aware student community!

Define, Design, Deliver, Debate

Deliver

• Contextual Framing - Scenario prompts for visualizations
• Learn to “pull analytical threads”
• Analytical Workflow to learn architecture
• Examples: The 5 Why’s (Andy Cotgreave’s Blog)�Or Classic Investigative Reporting� (Who, What, Where, When, Why)
• Telling Great Stories - Best Practices
• Accelerators and Case Studies
• Make it relevant and real (portfolio work)
• Be aware of required auxiliary tools & resources

Narrative Experiences – case study, story telling & scenarios

Define, Design, Deliver, Debate

Deliver

Logistics from my playbook:

“I’ll demonstrate, then we’ll recreate”

• Setup for success
• 2 screens, always better than one.
• Easy access materials: Canvas, USB’s, Slack IM.
• Limit Conceptual Slides, Keep them in the tool!
• Templated workbook: Prompts, caption, preloaded data or partial builds.
• Walkthrough doc: visual target, steps & images ready to go.
• Slack: pacing, prompts, sharing in thread, interactivity & challenge!
• Templated workbook contains context, class activity tabs, & stretch exercises (or homework prompt tabs.)

​

Dynamic Duo: Tableau + Slack

Define, Design, Deliver, Debate

Deliver

Building Confidence with AI

Practicing Interpretation, Application & Critical Reflection

• Questions to interpret / worksheet insights
• Pair share or small group discussion with,
• Slack shares in thread or large group discussion.
• Data Guide: Requiring extension of analytics in query.
• Assigned: Generate 2 new charts using Data Guide. Write an explanation of why each visual insight was valuable.
• Question Everything! Prioritize Domain KPIs.
• Setup Scenarios, create list of quality questions tuned for domain relevant KPIs.
• Team assignment to create analysis questions that should be asked for given scenario. �- Improve the questions using ChatGPT (or other).

Define, Design, Deliver, Debate

_ _ _ _ _ _ _ _ _ _ _ _ _

Tableau’s "Show Me" feature name was inspired by which famous phrase?

Show me the money!

Hint: Jerry McGuire

Debate

Target Image prompt with student Images in Thread

• Learn to share visualizations confidently
• Addresses variety of Learning Styles
• Increases Engagement

Present, Compare & Collaborate

• Market Preparation
• Widens Perspective
• Strengthens Resolve

Validation and Confirmation

• Domain Expertise Tested

​

Discuss, Collaborate, Compare

Define, Design, Deliver, Debate

Slack for the Win!

Discuss, Collaborate, Compare

Define, Design, Deliver, Debate

Slack for the Win!

Discuss, Collaborate, Compare

Debate – Integrate Resources

• Free from Tableau => Vendor Authored Efficient Resources
• Trailhead Data Literacy: basic principles with quizzes.
• Industry & Department Client Success Webpages.
• Accelerator Workbooks Analytics applied with demo data.

​

• Industry “Experts”for Best Practices => Framework for Self Assessment
• Gestalt Principles, Laws of Association and Perception (1923).
• The 4 C’s from the The Big Book of Dashboards.
• Edward Tufte: “Data Ink” Ratio. Elimination of Redundancy.
• Ryan Sleeper: Chart Junk; “How To” dashboard guidance.

​

• For Fun & Practice (Gamification of Learning!)
• Practice Phone Apps (Swipe & select, puzzle patterns, etc.)
• Trailhead Interactive Modules and Leveling Up
• Pitfalls & Illusions (Collection of illusions/visme.com)
• Correlation v Causation (Spurious Correlations / tylervigen.com )

Few Favorite Resources

Define, Design, Deliver, Debate

Example Multi-Modal Exeperiences -

• Create Analytical Insights with Data Guide, using AI to extend and interpret insights.�
• Dynamic Messaging: Effective Color & Emphasis
• Trailhead Module – pitfalls and design norms
• Classroom Opener with cakes and plates.
• Starter workbook with basic charts.
• Add color and formatting.
• Add dynamic titles, annotations & tooltips.
• Chart inclusion within tooltips.�
• Fit for Purpose: Know Your Audience
• Historical context for 3 notables (Snow, Nightingale, Minard).
• Emphasize their normals versus the need of their moment.
• Case study brief, with data links.
• Random Audience selection.
• Small Team presentations tuned for Audience.

​

Integration of Generative Learning Activities

Example Multi-Modal Project

Students present live or submit a recording, along with presentation PDF and TWBX workbook.

Analytics In Action using current leaders & actual applied analytics.

• Select Industry or Department, aligned with interest / major
• Describe context, Identify key metrics, Indications of health.
• What are the Pressing Concerns for executives.
• Significant Changing market dynamics (micro or macro).�
• Key Performance Indicators
• From Success Stories, what is showcased as success?
• Applied measures. Statistics or Math in use for KPIs.
• If not apparent, recommend predictive algorithms that might be valuable.
• Visual analytics examples. Accelerators if relevant. Tableau Public if not.
• Record Demo the Data Viz from Accelerator or Tableau Public.�
• Testimonies from two Customers
• Learn what constitutes a “win” from their stories.�
• Conclusion & Call to Action
• Obstacles or challenges for trustworthy data collection?
• Likely audience for the visual analytics. Any sensitivities involved?
• Opportunity for visual analytics to offer benefit for the business?

​

Fresh Angles on Old Lessons

Tableau’s founders' mentor came �from which company initially?

Microsoft

Pixar

Adobe

Starbucks

Pixar

Questions? Comments?