Statistics with R for Data Analysis

Bol

Explore fundamental principles of statistics while harnessing R programming for dynamic data analysis. Covering data visualization, hypothesis testing, regression, and machine learning, the material guides readers through practical examples and hands-on exercises that build essential skills for interpreting real-world data challenges. This book introduces readers to the fundamental principles of statistics while leveraging R, a powerful programming language for data analysis. It covers essential topics such as data visualization, hypothesis testing, regression, and machine learning, equipping readers with the skills to analyze and interpret data effectively. With practical examples and hands-on exercises, the book is suitable for beginners and intermediate learners looking to enhance their statistical analysis capabilities in academic and professional settings.

Amazon

Pages: 510, Bibliotheekuitgave, Arcler Press