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AI + Tableau for Data Science | Full Course
Build Job-Ready Dashboards with ChatGPT — Projects, Templates, Prompts & Interview Prep All-in-One.
Tableau is the Excel of the data world—the fastest, most tangible skill to break into data.
It helps you present insights clearly and convincingly—which is exactly what hiring managers care about.
But this isn’t another drag-and-drop tutorial.
This is a modern, AI-powered Tableau course—designed for career changers who want to deliver real value at work.
What you'll learn
-Learn how dashboards are used to tackle real-world challenges
-How to navigate ambiguity in a real-world environment
-Identify dashboard types (Monitor / Analyze / Detail – MAD Framework)
-Spot the difference: Open-ended vs. End-to-end dashboard questions
-Match dashboard layout to stakeholder needs
-Define clear goals, metrics, and scope before building
-Use planning templates to avoid common beginner mistakes
-Learn key design principles: saliency, efficiency, and amity
-Choose chart types that fit the business question
-Use ChatGPT to clarify metrics and plan dashboard layout
-Prompt engineering basic-Write strong prompts using SALT frameworks
-Evaluate and improve prompts with the LARF framework
-Build 2 job-ready Tableau dashboards inspired by hot trends: AI in Finance & Gaming
-Style like a pro: polish layout, color, and UX details
-Add interactivity with filters, actions, and storytelling tooltips
-Organize your portfolio with a clean GitHub showcase
-Customize your resume to highlight real project skills
#ai #tableau #datascience
Видео AI + Tableau for Data Science | Full Course канала Course X
Tableau is the Excel of the data world—the fastest, most tangible skill to break into data.
It helps you present insights clearly and convincingly—which is exactly what hiring managers care about.
But this isn’t another drag-and-drop tutorial.
This is a modern, AI-powered Tableau course—designed for career changers who want to deliver real value at work.
What you'll learn
-Learn how dashboards are used to tackle real-world challenges
-How to navigate ambiguity in a real-world environment
-Identify dashboard types (Monitor / Analyze / Detail – MAD Framework)
-Spot the difference: Open-ended vs. End-to-end dashboard questions
-Match dashboard layout to stakeholder needs
-Define clear goals, metrics, and scope before building
-Use planning templates to avoid common beginner mistakes
-Learn key design principles: saliency, efficiency, and amity
-Choose chart types that fit the business question
-Use ChatGPT to clarify metrics and plan dashboard layout
-Prompt engineering basic-Write strong prompts using SALT frameworks
-Evaluate and improve prompts with the LARF framework
-Build 2 job-ready Tableau dashboards inspired by hot trends: AI in Finance & Gaming
-Style like a pro: polish layout, color, and UX details
-Add interactivity with filters, actions, and storytelling tooltips
-Organize your portfolio with a clean GitHub showcase
-Customize your resume to highlight real project skills
#ai #tableau #datascience
Видео AI + Tableau for Data Science | Full Course канала Course X
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1 июля 2025 г. 18:05:39
02:12:23
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