توضیحات
This book provides a hands-on approach to applying statistical methods in real-world scenarios using Python. It covers descriptive statistics, probability distributions, hypothesis testing, regression analysis, ANOVA, and time series analysis. Readers also learn to use Python libraries such as pandas, NumPy, SciPy, and Matplotlib to manipulate data, perform statistical tests, and create visualizations. Ideal for students, data analysts, and Python developers, Applied Statistics with Python equips readers with both the conceptual understanding and practical skills to analyze datasets, draw insights, and make data-driven decisions effectively.
نقد و بررسیها
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