SPC Analytics THE AI ADVANTAGE
Track 1 · SPC Academy

The AI Advantage

Strategic data storytelling for hospitality, restaurant, and tourism operators. It starts from zero: no coding, no statistics background, no prior AI use assumed. It ends with sixteen things you built and can use on Monday.

16chapters, four phases 135 minof lecture 57hands-on activities 16deliverables you keep

Jeong-Yeol Park, Ph.D. · Chapter 1 is open now. The remaining 15 unlock with enrollment.

0 of 1 lessons complete Progress is stored on this device only. Your written work lives in the notebook.
Phase I 0 / 1 COMPLETE

The New Landscape

What these tools actually do, which ones to keep, and the working habit that separates a useful answer from a generic one.

01The Opportunity: How AI Is Reshaping HRTThe AI Readiness Self-Assessment10:59Not started
02The AI Landscape: Tools, Interfaces, and What They Actually DoTool matrix, plus five customized prompts11:56Locked
03Hard Skills for Working with AIThe Prompt Engineering Portfolio10:25Locked
Full course enrollment opens soon.
Phase II 3 CHAPTERS

Data Foundations

Find the data your business already produces, learn what its numbers mean, and put AI to work on them.

04Your HRT Data UniverseAudit plus scorecard, built this week9:14Locked
05AI-Powered Data Analysis in ActionThe AI Analysis Portfolio: three analyses11:11Locked
06The Human Element: Emotional Intelligence and Customer TouchpointsThe Customer Touchpoint Map9:05Locked
Full course enrollment opens soon.
Phase III 4 CHAPTERS

Strategic Data Storytelling

Turn a finding into something a person will act on: a narrative, a chart, a dashboard, a guest report.

07From Numbers to NarrativeThree narratives from one insight9:07Locked
08Visual IntelligenceThe Visual Portfolio: six charts, six jobs7:15Locked
09Operational Dashboards That Actually Get UsedA prototype you will open tomorrow5:47Locked
10The Guest StoryThe report, from your own reviews6:09Locked
Full course enrollment opens soon.
Phase IV 6 CHAPTERS

Driving Business Decisions

Price, pitch, position, market, and lead. Then compile everything you built into one playbook.

11Data-Driven Pricing and Revenue StrategyThe brief: 8 to 12 pages, three answers7:56Locked
12Pitching with DataThe investor-ready deck, skeleton first8:21Locked
13Competitive Intelligence and Market PositioningA living document, not a one-time file7:11Locked
14AI-Generated Content and the New MarketingThe complete visual package6:25Locked
15Building a Data Culture in Your OrganizationThe 90-day implementation plan8:24Locked
16Capstone: Your Data Storytelling PlaybookThe complete Data Storytelling Playbook5:39Locked
Full course enrollment opens soon.
Track 2 · 13 chapters plus a mini-project

Analyzing Online Reviews

The methods track: from review data to a defensible analysis, for papers and for business decisions. Fourteen narrated lessons, taught from the published book. Lesson one and the mini-project are free.

TWO LESSONS FREE
1Introduction2Understanding Online Review Data3Getting Started with Google Colab and Gemini4Thinking Like a Data Analyst Before Analyzing TextMPMini-Project: Analyze 500 Reviews in 30 Minutes5From Text to Numbers6Panel Regression with Integrated Features7Causal Inference with Review Data8Time-Series Analysis and Forecasting9Spatial Econometric Models and Visualization10Structural Equation Modeling for Theory Testing11Machine Learning for Prediction12Case Studies13Where Review Analytics Is Heading