Modern Statistics A Computer-based Approach With Python Pdf
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import numpy as np from scipy import stats modern statistics a computer-based approach with python pdf
- Introduction to Statistics and Data Analysis: The book begins with an introduction to statistics, data types, and data visualization using Python.
- Descriptive Statistics: It covers measures of central tendency, variability, and data visualization using Python libraries such as NumPy, Pandas, and Matplotlib.
- Probability Theory: The book provides a thorough introduction to probability theory, including random variables, probability distributions, and Bayes' theorem.
- Inferential Statistics: It covers hypothesis testing, confidence intervals, and regression analysis using Python libraries such as SciPy and Statsmodels.
- Machine Learning: The book introduces machine learning concepts, including supervised and unsupervised learning, and provides examples using Python libraries such as Scikit-learn.
Weaknesses
- Uses resampling & bootstrapping from the start.
- Teaches hypothesis testing via simulation.
- Provides all code in Python (no legacy formula obsession).
Python Statistical Analysis: Fundamentals, Libraries, and How-to I can’t help find or share pirated copies of books