Statistics with R for Data Analysis - Nady, Mohsen
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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.

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Produktbeschreibung
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.
Autorenporträt
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.