Description
Statistical Inference via Data Science provides a contemporary approach to learning statistics through the lens of data science. The second edition incorporates modern tools including R and the Tidyverse, making statistical concepts accessible to students and practitioners alike.
This comprehensive text covers fundamental statistical inference techniques while emphasizing reproducible research and practical data analysis. Through carefully curated datasets and real-world case studies, readers develop intuition for statistical thinking and learn to communicate findings effectively.
The ModernDive approach bridges the gap between traditional statistics and data science, presenting concepts progressively from descriptive statistics through hypothesis testing and regression analysis. Ideal for beginners seeking rigorous yet approachable instruction in statistical methods.
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