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Presenting data effectively: Communicating your findings for maximum impact - Resource
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1. Understand the Basics of Data Analysis \t•\tWhat is data analysis? \t•\tTypes of data: qualitative vs. quantitative \t•\tData types: numerical, categorical, ordinal, etc. \t•\tBasic statistics: mean, median, mode, variance, standard deviation ⸻ 2. Learn Data Tools & Software Pick the tools you’ll use regularly. Start with: \t•\tExcel – basic formulas, pivot tables, charts \t•\tSQL – for querying databases \t•\tPower BI / Tableau – for data visualization \t•\tPython / R – for advanced analysis
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