Data Cleaning and Preparation using Microsoft Excel

This resource is a hands-on data cleaning and preparation project designed for beginners, students, freelancers, and aspiring data analysts who want to learn how real data is cleaned in Excel, not just in theory, but in practice.

You will receive:

·      A 15-page step-by-step guide PDF document

·      A fully worked Excel workbook with:

o  Raw data

o  Each cleaning step in its own worksheet

o  A final clean version ready for analysis

You will see exactly how messy data becomes analysis-ready data.

What You Will Learn

Using a realistic dataset, this project shows you how to:

·      Inspect raw data and identify problems

·      Standardize column names

·      Fix inconsistent formatting (dates, text, numbers)

·      Detect and handle missing values

·      Check and correct data types

·      Find and remove duplicates

·      Identify outliers and unusual values

·      Verify calculated columns

·      Maintain a clean, final version of your dataset

·      Split, merge, and rearrange columns properly

Every step you read about in the guide is demonstrated inside the Excel file.