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.
Begin to Code with Python
Become a Python programmer–and have fun doing it!
Start writing software that solves real problems, even if you have absolutely no programming experience! This friendly, easy, full-color book puts you in total control of your own learning, empowering you to build...
Java Data Science Cookbook
This book provides modern recipes in small steps to help an apprentice cook become a master chef in data science
Use these recipes to obtain, clean, analyze, and learn from your data
Learn how to get your data science applications to production and enterprise...
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This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.
Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing...