Statistics with R for Data Analysis

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.

Mohsen Nady is a pharmacist with a M.D. in Microbiology and a Diploma in Industrial Pharmacy. Besides, Mohsen has more than 10 years of experience in Statistics and Data Analytics. Mohsen has applied his skills to different projects related to Genomics, Microbiology, Biostatistics, Six Sigma, Data Analytics, Data Visualization, Building Apps, Geography, Market Analysis, Business Analysis, Machine Learning, etc. Mohsen also published his thesis in a high-impact journal that attracted many citations, where all the statistical analyses were performed by him in addition to the methodological part. Furthermore, Mohsen has earned different certificates, from top universities (Harvard, Johns Hopkins, Denmark, etc) in Statistics, Data Analytics, Data Visualization, and Machine Learning that highlight his outstanding diverse skills.