Ai + Tableau For Data Science Career Changers With Chatgpt

Data Career Jumpstart Build Job-Ready Dashboards with ChatGPT — Projects, Templates, Prompts & Interview Prep All-in-One

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

Prep for interviews with reusable templates & cheat sheets

Requirements

You’ve taken at least 1 Tableau beginner course

You have Tableau Desktop or Tableau Public installed

No coding required, but some familiarity is helpful

Comfortable with basic charts (bar, line, table)

Description

DescriptionStruggling to make your insights land with stakeholders?Switching into data—but not sure how real work gets done?Want to get career-ready fast—without drowning in charts that don’t impress or apply on the job?Curious how AI and ChatGPT fit into modern data workflows?This course is for you.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 LearnUnderstand how dashboards are built in real business settings—from vague asks to polished productsSpot dashboard types (monitor/analyze/detail) and match designs to stakeholder needsPlan dashboards like a product: clarify scope, define metrics, communicate with purposeAvoid common beginner mistakes using a reusable planning templateBuild clean, focused visuals using practical design principlesChoose chart types that fit the business question, not just look goodUse ChatGPT to clarify metrics, draft layouts, and accelerate executionWrite strong prompts using SALT & LARF frameworksBuild two full Tableau projects: Game Performance and AI Infrastructure Stock Tracker STEP-BY-STEPPolish your dashboards with styling, interactivity, and storytellingShowcase your work with a resume-ready GitHub portfolioPrep for Tableau interviews with explain-your-work templates and FAQsWhat You’ll GetReusable dashboard templatesPrompt libraries for fast iterationInterview-ready cheat sheetsGitHub + resume assets to show your valueThis course helps you make the pivot clearer, faster, and more practical. Enroll now—see you in class~

Overview

Section 1: Get Started Right: Structure, Tools, Expectations

Lecture 1 Section 1 Intro

Lecture 2 How This Course Structured?

Lecture 3 How To Grab Your Resources?-Course Slides, Prompt & Dashboard Templates (Here)

Section 2: Dashboard Lifecycle Essentials

Lecture 4 Section 2 Intro

Lecture 5 How To Grab Your Resources?-Course Slides, Prompt & Dashboard Templates (Here)

Lecture 6 The Real-world Dashboard Development Lifecycle

Lecture 7 Choosing The Right Type: Mad? Open-ended Vs Close-ended. One-off Vs Recurring

Lecture 8 Ambiguous Requirement Unmask-Workflow

Lecture 9 Grab Your Career Artifact

Section 3: Dashboard UX & Key Design Principles

Lecture 10 Section 3 Intro –Why Design Principles Matter?

Lecture 11 How To Grab Your Resources?-Course Slides, Prompt & Dashboard Templates (Here)

Lecture 12 Costly Dashboards Design Mistakes That You Should Avoid

Lecture 13 How To Choose The Right Visual For The Job?

Lecture 14 The 3 Keys To Clear Dashboards: Saliency | Efficacy | Amity

Lecture 15 Plan Dashboard Layout Like A Product Designer: Block, Group & Balance

Lecture 16 Grab Your Career Artifact

Section 4: Modern Dashboard Workflow With ChatGPT | Plan Smarter, Build Faster

Lecture 17 Section 4 Intro – Why Prompting Is Now A Career Advantage

Lecture 18 How To Grab Your Resources?-Course Slides, Prompt & Dashboard Templates (Here)

Lecture 19 Anatomy Of A Good Prompt: PICO (Persona, Instruction, Context, Output)

Lecture 20 SALT & LARF For Prompt + Output Quality | Prompt Engineering Technique

Lecture 21 Prompt Templates For Common Dashboard Scenarios (Downloadable Template Included)

Lecture 22 Grab Your Career Artifact

Section 5: Game Sales Dashboard | Learn Product Sense | Real World- End-to-End | Live Demo

Lecture 23 Section 5 Intro

Lecture 24 How to Handle Ambiguous Dashboard Requests Like a Pro

Lecture 25 Understanding the Games Sales Dataset

Lecture 26 Using ChatGPT to Plan Dashboard Layout

Lecture 27 Build View 1: KPI Cards

Lecture 28 Build View 2: Global & Regional Sales Over Time

Lecture 29 Build View 3: Platform Lifecycle (Area Chart)

Lecture 30 Build View 4: Sales by Platform (Bar Chart)

Lecture 31 Build View 5: Top-Selling Games by Global Sales

Lecture 32 Build View 6: Sales by Genre & Publisher

Lecture 33 Bring It Together: Dashboard Layout

Lecture 34 Make It Interactive: Dashboard Actions

Lecture 35 Section 5: How to Pitch Your Dashboard Like a Pro

Section 6: AI Stock Selection Tracker | Real Business Dashboard End-to-End | Live Demo

Lecture 36 Section 6 Intro

Lecture 37 Business Challenge: What Are We Solving?

Lecture 38 Requirement Analysis: From Vague to Clear

Lecture 39 Metrics 101: Value, Quality, Momentum

Lecture 40 How to Score Stocks - Composite Metric

Lecture 41 Get Data with Python & Prep for Tableau

Lecture 42 Using ChatGPT to Plan Dashboard

Lecture 43 Build View 1: Top N Table-Parameter & Set

Lecture 44 Build View 2: Sector Concentration-Bar

Lecture 45 Build View 3: Driver Bubble Chart

Lecture 46 Build View 4: Value vs Momentum Scatterplot

Lecture 47 Build View 5: Sector x Driver Treemap

Lecture 48 Final Touch: Layout & Styling & Interaction Tips

Lecture 49 Section 6: How to Pitch Your Dashboard Like a Pro

Section 7: Interview Prep A-Z | Show, Don’t Tell: Interview Prep & Portfolio Polish

Lecture 50 Section 7 Intro-From Project To Portfolio: Why It Matters In Interviews

Lecture 51 How To Grab Your Resources?-Course Slides, Prompt & Dashboard Templates (Here)

Lecture 52 How To Tailor Resume That Speaks For You

Lecture 53 How To Organize Your Github To Sell Your Value

Lecture 54 Tableau Technical Interview FAQ – What You’ll Actually Be Asked

Lecture 55 Grab Your Career Artifact

Lecture 56 Final Recap & What To Do After This Course

You’re switching into data and want a fast, practical way to show your value,You’ve taken a few Tableau courses but still don’t feel ready for real work-just want just the right mix of information to get hired without getting overwhelmed.,You’re confident with charts—but not with ambiguous asks or product thinking,You’re tired of checkbox-style tutorials and want real context, real results,You want to build dashboards in the AI-enabled workplace—using smart tools and clear prompts