Data Cleaning in Excel: Clean & Prepare a Real Dataset From Scratch (Beginner Project)

Most beginners learn Excel formulas, but struggle when they receive messy real-world datasets. In this Excel Data Cleaning session, we work on a beginner-friendly project where we clean and prepare a messy dataset from scratch using Excel. You’ll learn how to: ✓ Identify common data quality issues ✓ Remove duplicate records ✓ Handle missing values ✓ Fix inconsistent data formats ✓ Clean and transform text values ✓ Validate your dataset before analysis and reporting This is perfect for beginners learning Excel, Data Analytics, and anyone who wants to understand how real datasets are cleaned before creating reports or dashboards. Download the dataset, open Excel, and follow along step-by-step. 📂 Practice Dataset: https://docs.google.com/spreadsheets/... 📘 Free Data Analytics Roadmap: https://selar.com/f971275877 ━━━━━━━━━━━━━━━━━━ ⏰ Timestamps: 00:00 Introduction 00:12 Why Data Cleaning Matters in Data Analysis 01:30 Common Data Quality Issues to Look Out For 03:00 The 5 Data Quality Frameworks 03:48 Preparing Your Dataset Before Cleaning 05:07 Adding Filters and Freezing Headers 06:15 Creating a Backup Copy of Your Dataset 06:58 Finding Duplicate Values 12:19 Removing Duplicate Records 14:44 Inspecting Your Dataset for Data Quality Issues 18:28 Cleaning Inconsistent Date Formats 22:54 Cleaning Text Values in Excel 25:16 Fixing Extra Spaces & Capitalization with TRIM and PROPER 30:40 Using Find and Replace for Data Cleaning 33:53 Using Flash Fill for Data Cleaning 41:51 Fixing Inconsistent Categories and Spelling Issues 44:28 Using Wildcards with Find and Replace 45:47 Combining Excel Functions for Data Cleaning 47:48 Extracting Values from Text Columns 50:35 Cleaning Categories with the SWITCH Function 54:06 Validating and Comparing Data in Excel 55:52 Using IF Function for Data Quality Checks 1:00:26 Cleaning Payment Methods and Order Status Values 1:04:52 Cleaning Numeric Columns 1:07:05 Converting Text Numbers to Real Numbers 1:08:20 Finding Invalid Negative Values 1:13:30 Cleaning Currency Formatting Issues 1:15:57 Fixing Percentage Formatting Issues 1:18:01 Identifying Invalid Discount Values 1:20:13 Validating Total Sales Calculations 1:22:26 Checking Customer Rating Issues 1:25:10 Comparing Dates to Find Data Errors 1:30:35 Handling Missing Values in Excel 1:32:25 Highlighting Blank Cells 1:34:22 Formatting Clean Data as an Excel Table 1:35:03 Final Data Cleaning Review 1:36:53 Questions & Answers ━━━━━━━━━━━━━━━━━━ If you found this helpful, subscribe for more beginner-friendly Excel and Data Analytics tutorials. #Excel #DataCleaning #DataAnalytics #ExcelTutorial #LearnExcel