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Analytics eBooks
In-depth guides on statistics, BI, and research methods.
Data analysis"Understanding Distribution: Analysing Data Distribution
Before you commit to full data collection, your pilot data has a lot to tell you—and distribution analysis is how you listen. This free ebook walks you through what to check in a pilot sample and why it matters for the analysis you're planning downstream. You'll learn how to examine the shape of your data: central tendency and spread, skewness and kurtosis, and how to read histograms, boxplots, and Q-Q plots. It covers testing for normality (Shapiro-Wilk, Kolmogorov-Smirnov), spotting outliers and their causes, and using what you find to decide between parametric and non-parametric methods before you're locked in. Worked examples use survey and questionnaire data typical of social-science, business, and education research. Written for postgraduate students, dissertation candidates, and early-career researchers who need their methodology chapter to hold up under supervisor and examiner scrutiny—no heavy statistics background assumed
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How to Use Power BI
A beginner-friendly ebook that walks readers through the fundamentals of Power BI, from connecting to data sources and building your first report to creating interactive dashboards and sharing insights with your team. Covers core concepts like data modeling, DAX basics, visualizations, and best practices for organizing reports. Written for students, analysts, and business professionals who want a practical, step-by-step introduction to Power BI without needing prior experience in data analytics or business intelligence tools. Whether you're new to business intelligence or looking to sharpen your reporting skills, this ebook breaks Power BI down into clear, practical steps. You'll learn how to import and clean data, build visuals that actually communicate insights, and put together dashboards you can confidently share with colleagues or clients.
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