Tableau Prep Master Data Cleaning & Automation

What you'll learn
Build repeatable, automated data-cleaning workflows in Tableau Prep to replace fragile Excel-based processes
Clean, validate, and standardize messy real-world data using professional techniques trusted in corporate environments
Design scalable data flows using joins, unions, pivots, and aggregates while preventing duplicates and data errors
Publish, schedule, and maintain production-ready data sources in Tableau Cloud with confidence and traceability
Requirements
Basic familiarity with data concepts such as rows, columns, fields, and simple data types
No prior Tableau Prep experience required - the course starts from first principles
Tableau Desktop experience is helpful but optional for understanding downstream analytics use cases
Description
DATA CLEANING IS WHERE IT ALL BEGINS!Before dashboards are shared, insights are trusted, or decisions are made, raw data must be cleaned, validated, and structured correctly. In professional environments, this work must be repeatable, traceable, and automated - not manually patched together in Excel.This course teaches you how to use Tableau Prep to design and build production-ready data cleaning workflows used by real analysts in corporate, government, and enterprise environments.You will learn how to move away from fragile spreadsheet-based processes and instead build flow-based data pipelines that can be refreshed, maintained, and trusted over time. ABOUT YOUR INSTRUCTORMy name is Jed Guinto, and I have extensive professional experience working as a data analyst and analytics professional across a wide range of industries and organisational environments.I have delivered analytics solutions in corporate, enterprise, and government-style settings, working with operational, customer, financial, and system-generated data that required rigorous cleaning, validation, and governance before it could be trusted.I am also one of the best-selling Tableau instructors globally, with 300,000+ students on Udemy, and I am widely recognised for teaching analytics skills that translate directly into real-world, on-the-job application.My teaching focuses onrofessional data preparation workflows used by working analystspreventing downstream reporting errors through correct upstream design WHAT YOU WILL LEARNClean real-world data including text, dates, numbers, duplicates, and inconsistent formatsBuild scalable data flows using clean steps, branches, aggregates, pivots, unions, and joinsPrevent data errors, duplicates, and inflated metrics by understanding how issues form and compoundDesign validation and quality checks using professional testing techniquesThink like a data analyst, not just follow tool-based steps REAL-WORLD PROJECTS AND APPLICATIONThis course is taught in a professional setting, not isolated demos. You'll work through multiple end-to-end projects that mirror real analytics work, including:Cleaning and unifying customer and membership dataHandling operational and maintenance-style dataApplying different expectations for graduate, mid-level, and senior analystsPreparing datasets that are ready for analytics and dashboardingEach project emphasises decision-making, trade-offs, and design choices - the same considerations analysts face on the job. ADVANCED AND ENTERPRISE CONTEXTIn the expert section, you'll learn how Tableau Prep fits into the full Tableau ecosystem, includingublishing clean data sources for analytics consumptionDeploying and scheduling data preparation flowsWorking with Tableau Cloud in corporate environmentsEnsuring traceability and business continuityBuilding data products, not one-off datasetsThis prepares you to work confidently with data that must be maintained long after the initial build. WHY THIS COURSE IS DIFFERENTThis is not a button-by-button tool tourThis is not a basic Excel replacement demoThis is not a short introductory overviewThis course teaches you how to build data pipelines your future self won't have to apologise for.By the end of the course, you'll be able to clean, automate, deploy, and maintain trusted data using Tableau Prep - exactly how professional analysts do it.
Who this course is for
Aspiring data analysts who want strong data-cleaning and preparation skills used in real jobs
Excel-based analysts hitting scalability limits and wanting automated, repeatable workflows
Tableau Desktop users who need clean, trusted data before building dashboards
Junior to mid-level analysts aiming to work confidently with messy, real-world data
Professionals working in corporate, government, or enterprise data environments
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