The iterative Data Analysis Process is comprised of the following phases:
• Specification of Data Requirements
• Data Gathering
• Data Processing
• Data Cleaning
• Data Analysis
• Data Communication
Data analysis is a valuable skill that can help you make better judgments. Microsoft Excel is one of the most used data analysis programs, with the built-in pivot tables being the most popular analytic tool. Microsoft Excel allows you to examine and interpret data in a variety of ways. The information could come from several different places. A variety of formats and conversions are available for the data. Conditional Formatting, Ranges, Tables, Text functions, Date functions, Time functions, financial functions, Subtotals, Quick Analysis, Formula Auditing, Inquire Tool, What-if Analysis, Solvers, Data Model, PowerPivot, PowerView, PowerMap, and other Excel commands, functions, and tools can all be used to analyse it.
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