The ability to proficiently perform statistical modeling is a fundamental skill for data scientists and essential for businesses reliant on data insights. Building Statistical Models with Python is a comprehensive guide that will empower you to leverage mathematical and statistical principles in data assessment, understanding, and inference generation.
This book not only equips you with skills to navigate the complexities of statistical modeling, but also provides practical guidance for immediate implementation through illustrative examples. Through emphasis on application and code examples, you’ll understand the concepts while gaining hands-on experience. With the help of Python and its essential libraries, you’ll explore key statistical models, including hypothesis testing, regression, time series analysis, classification, and more.
By the end of this book, you’ll gain fluency in statistical modeling while harnessing the full potential of Python's rich ecosystem for data analysis.
publication date
2023-08-31
what you will learn
Explore the use of statistics to make decisions under uncertainty
Answer questions about data using hypothesis tests
Understand the difference between regression and classification models
Build models with stats models in Python
Analyze time series data and provide forecasts
Discover Survival Analysis and the problems it can solve
key features
Gain expertise in identifying and modeling patterns that generate success * Explore the concepts with Python using important libraries such as stats models * Learn how to build models on real-world data sets and find solutions to practical challenges
approach
This book gives the reader an intuitive and applied knowledge of statistics to solve real-world problems and model real-world processes, using the Python programming language. Although the book is intended to be read front-to-back, it is also designed as a point-of-reference manual for deploying specific methods for specific tasks by experienced practitioners.
audience
If you are looking to get started with building statistical models for your data sets, this book is for you! Building Statistical Models in Python bridges the gap between statistical theory and practical application of Python. Since you’ll take a comprehensive journey through theory and application, no previous knowledge of statistics is required, but some experience with Python will be useful.
short description
Building Statistical Models in Python will give you the tools to answer questions about data using some of the most widely used techniques in industry with Python. You’ll learn to formulate and test questions using regression, classification, forecasting methods, and summarize findings into insightful actions.
subtitle
Develop useful models for regression, classification, time series, and survival analysis
keywords
Python book, Data science books, Python data science handbook, Statistics book, Data science for business
Product ISBN
9781804614280
