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Title : PDF Online Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science) Online isbn : B06XPNZ4H2

Book Synopsis Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions.

Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses.

Related Data Wrangling with R (Use R!) An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series) Meta-Analysis with R (Use R!) Reproducible Research with R and R Studio, Second Edition (Chapman & Hall/CRC The R Series)

Discovering Statistics Using R R for Data Science: Import, Tidy, Transform, Visualize, and Model Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (Chapman & Hall/CRC Texts in Statistical Science) A First Course in Machine Learning, Second Edition (Machine Learning & Pattern Recognition)