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Springer - An Introduction to Statistics with Python Textbook

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Description

Master statistical data analysis with this second edition textbook from Springer. This guide provides a practical introduction to Python and its application within the life sciences. It covers essential statistical tests for continuous, discrete, and categorical data, alongside linear regression analysis. Readers can explore advanced topics including survival analysis and Bayesian statistics. This updated edition features reworked chapters on Python, data input, and visualization to ensure modern relevance. Additionally, the expanded section on experimental design and new programs for determining confidence intervals used in quality control make this an essential resource for students and professionals in computing and the life sciences.

Key Features

This Springer textbook provides a comprehensive introduction to Python for statistical data analysis.

The content covers common statistical tests for continuous, discrete, and categorical data types.

Learn advanced analytical methods including linear regression, survival analysis, and Bayesian statistics.

Updated chapters offer reworked guidance on Python programming, data input, and data visualization.

The expanded experimental design section includes new programs for calculating quality control confidence intervals.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 November 2022
Listed Since
26 January 2022

Barcode

No barcode data available

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