Tableau Prep: Master Data Cleaning & Automation

Learn to Clean, Automate and Deploy Trusted Data Workflows with Tableau Prep for Real-World Analytics

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 INSTRUCTOR

My 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 on:

• professional data preparation workflows used by working analysts

• preventing downstream reporting errors through correct upstream design

WHAT YOU WILL LEARN

• Clean real-world data including text, dates, numbers, duplicates, and inconsistent formats

• Build scalable data flows using clean steps, branches, aggregates, pivots, unions, and joins

• Prevent data errors, duplicates, and inflated metrics by understanding how issues form and compound

• Design validation and quality checks using professional testing techniques

• Think like a data analyst, not just follow tool-based steps

REAL-WORLD PROJECTS AND APPLICATION

This 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 data

• Handling operational and maintenance-style data

• Applying different expectations for graduate, mid-level, and senior analysts

• Preparing datasets that are ready for analytics and dashboarding

Each project emphasises decision-making, trade-offs, and design choices — the same considerations analysts face on the job.

ADVANCED AND ENTERPRISE CONTEXT

In the expert section, you’ll learn how Tableau Prep fits into the full Tableau ecosystem, including:

• Publishing clean data sources for analytics consumption

• Deploying and scheduling data preparation flows

• Working with Tableau Cloud in corporate environments

• Ensuring traceability and business continuity

• Building data products, not one-off datasets

This prepares you to work confidently with data that must be maintained long after the initial build.

WHY THIS COURSE IS DIFFERENT

• This is not a button-by-button tool tour

• This is not a basic Excel replacement demo

• This is not a short introductory overview

This 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.