A Beginner's Guide to Using Excel for Data Analytics and Data Cleaning

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Data analytics involves collecting, cleaning, and organizing raw data to generate insights that support informed decision-making across industries. Microsoft Excel, first developed in 1985, remains one of the most widely used tools for data entry, analysis, and financial modeling among both new and experienced analysts. Excel organizes data in rows and columns within a workbook that can contain multiple interconnected spreadsheets, allowing formulas in one sheet to reference data in another. The program supports various data formats and is available across multiple operating systems via Office 365, with Google Sheets serving as a modern alternative. For those entering the data analytics field, Excel is typically the starting point before progressing to more advanced tools like Python or Power BI.

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