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Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decisionmaking.[1] Data
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Start by collecting relevant data from various sources
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Cleanse the data by removing any duplicates or errors
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Organize the data into a structured format for easy analysis
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Use statistical techniques to analyze the data and look for patterns or trends
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Create visualizations or reports to present your findings

Who needs data analysis 101 why?

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Anyone who wants to make informed decisions based on data
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Businesses looking to optimize their processes and improve efficiency
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Researchers conducting studies that require analysis of large datasets
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Data analysis 101 is an introductory course or guideline that teaches the basic concepts, methods, and tools used in data analysis to help individuals make informed decisions based on data.
Individuals or organizations engaged in data analysis activities typically need to file data analysis 101 to demonstrate compliance with data standards and practices.
To fill out data analysis 101, individuals should gather relevant data, follow specified guidelines for reporting, and provide concise, accurate information as requested.
The purpose of data analysis 101 is to establish a foundational understanding of data practices, improve data literacy, and enable individuals to apply data analysis techniques effectively.
Information that must be reported includes data sources, analysis methods, findings, conclusions, and any assumptions or limitations in the analysis.
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