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Power BI consultants employ tools like DAX formulas, Power Query, and advanced analytics integrations with R and Python for statistical analysis. They use descriptive statistics (mean, median, variance) to summarize data and inferential methods (confidence intervals, hypothesis testing) to draw conclusions. Features like scatter plots, histograms, and boxplots in Power BI consultant enhance visualization of statistical insights. For more advanced needs, consultants integrate external tools like Azure Machine Learning to perform predictive and prescriptive analytics. These tools ensure consultants can address complex statistical requirements with precision, improving decision-making and operational efficiency.

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