Tablas Dinámicas y Limpieza de Ventas Sucias | Excel Empresarial desde Cero

Welcome to Digital Skills! In this first lesson, we'll teach you how to work with Excel in a business setting, tackling a real-world, everyday office scenario. When we download reports from a system or receive manual files, we often encounter "dirty sales": spelling errors, invisible spaces, and duplicate data that ruin our reports. Before creating a PivotTable, it's essential to structure, clean, and normalize the data. 📌 What will you learn in this step-by-step tutorial? The technical and practical difference between a cell range and a structured table. Essential shortcuts for quickly creating tables (Ctrl + T and Ctrl + Q). How to fix impossible date errors (like February 31st) using the Replace tool. How to extract month names in Spanish using function combinations (TEXT and MONTH). Using the TRIM function to remove invisible characters that duplicate categories in the PivotTable. How to calculate missing data (Unit Price and Quantities) using conditional statements and formulas. Introduction to PivotTables for answering business questions: Which region sells the most? Who is the most profitable salesperson? 📂 Download the course materials: [Here you can insert the Drive/Mega link to the "Dirty Selling" file so the audience can practice along with you]. 🔔 Subscribe to Digital Skills so you don't miss the next classes in this course and master key tools like Macros. Video content: 00:00 Introduction to the real-world case: What are "Dirty Selling"? 01:33 The Importance of Structuring Data in Business 03:28 Chat Activity and Class Objectives 07:39 Difference Between a Range and a Table in Excel 11:36 How to Insert Tables with Buttons and Shortcuts (Ctrl+T / Ctrl+Q) 19:47 Aesthetic Formatting and Automatic Column Adjustment 24:47 Correcting Date Formatting and Errors (February 31st Example) 34:24 Normalizing Month Names from English to Spanish Using Functions 44:39 Cleaning Text and Removing Invisible Spaces (TRIMS Function) 52:48 Reconstructing Missing Data (Calculating Quantities and Unit Prices) 01:03:24 Why Cleaning Data Saves Time Before Automating 01:08:23 How to Insert a PivotTable Step by Step 01:13:29 Data Analysis: Total Sales by Region and Year 01:21:00 Business Questions: Identifying the Most Profitable Salesperson 01:23:11 The Danger of Not Cleaning Data Reflected in the Pivot Table (Categories Case Study) 01:26:20 Conclusion and Closing of Class 1 #BusinessExcel #PivotTables #DataCleaning #ExcelFromScratch #DigitalSkills #WorkplaceProductivity #ExcelTutorial