Título: Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R
Autor: Michael Freeman, Joel Ross
Sinopse: The Foundational Hands-On Skills You Need to Dive into Data Science "Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills." -From the foreword by Jared Lander, series editor Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience. Leading instructors Michael Freeman and Joel Ross guide you through installing and configuring the tools you need to solve professional-level data science problems, including the widely used R language and Git version-control system. They explain how to wrangle your data into a form where it can be easily used, analyzed, and visualized so others can see the patterns you've uncovered. Step by step, you'll master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales. Freeman and Ross teach through practical examples and exercises that can be combined into complete data science projects. Everything's focused on real-world application, so you can quickly start analyzing your own data and getting answers you can act upon. Learn to Install your complete data science environment, including R and RStudio Manage projects efficiently, from version tracking to documentation Host, manage, and collaborate on data science projects with GitHub Master R language fundamentals: syntax, programming concepts, and data structures Load, format, explore, and restructure data for successful analysis Interact with databases and web APIs Master key principles for visualizing data accurately and intuitively Produce engaging, interactive visualizations with ggplot and other R packages Transform analyses into sharable documents and sites with R Markdown Create interactive web data science applications with Shiny Collaborate smoothly as part of a data science team Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Contexto da obra
Quando a classificação é mais ampla, o contexto do livro costuma depender ainda mais de autoria, tema e edição. “Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R”, de Michael Freeman, Joel Ross, publicado pela editora Addison-Wesley Professional, em 2018 e com 384 páginas, integra a categoria Livros Variados. Por isso, autoria, edição e tema acabam tendo ainda mais peso na forma de apresentar o livro.
Editora: Addison-Wesley Professional
Páginas: 384
Ano: 2018
Edição: 1
Linguagem: pt_BR
ISBN: 9780135133101
ISBN13: 9780135133101
Sobre a editora
Os livros da editora Addison-Wesley Professional oferecem uma experiência de leitura focada em tecnologia e desenvolvimento de software, com textos que exploram desde fundamentos teóricos até práticas avançadas. As obras costumam apresentar explicações detalhadas, exemplos práticos e estudos de caso, com ênfase em linguagens de programação, arquitetura de sistemas, metodologias ágeis e segurança. O ritmo varia entre abordagens técnicas densas e guias passo a passo, sempre com linguagem clara e orientada para profissionais e estudantes que buscam aprofundamento. O catálogo traz títulos que equilibram conteúdo conceitual e aplicação direta, atendendo tanto a quem prefere material mais narrativo quanto a quem busca referências técnicas rigorosas.
