Data analysis is at the heart of how we spot patterns and improve
systems today. Tools like Python, SQL, Power BI, and Tableau are
everywhere in the data world, but Excel has held its ground as the
starting point for anyone getting into data work, and there is a
reason for that.
What is Excel?
Excel is a spreadsheet built on a grid of rows and columns. You use
it to organize, format, and calculate data. For analysts it is where
messy raw data gets sorted out, numbers get worked through, and
everything gets turned into something that actually makes sense to
look at.
Ways Excel is Used in Real-World Data Analysis
1. Data Cleaning
Raw data is almost never clean. Names are misspelled, IDs get
duplicated, spacing is off, values go missing. None of that is
unusual, it is just the reality of working with real data. Before
any analysis happens the data has to be honest, because if the data
is wrong the results will be too.
Functions like PROPER() and T
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