{"product_id":"data-science-foundations-tools-and-techniques","title":"Data Science Foundations Tools and Techniques","description":"Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. \u003cem\u003eProgramming Skills for Data Science\u003c\/em\u003e brings together all the foundational skills you need to get started, even if you have no programming or data science experience. \u003cp\u003eLeading 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, analysed, and visualised 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. \u003c\/p\u003e \u003cp\u003eFreeman 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 analysing your own data and getting answers you can act upon. Learn to \u003c\/p\u003e \u003cul\u003e \u003cli\u003eInstall your complete data science environment, including R and RStudio \u003c\/li\u003e\n \u003cli\u003eManage projects efficiently, from version tracking to documentation \u003c\/li\u003e\n \u003cli\u003eHost, manage, and collaborate on data science projects with GitHub \u003c\/li\u003e\n \u003cli\u003eMaster R language fundamentals: syntax, programming concepts, and data structures \u003c\/li\u003e\n \u003cli\u003eLoad, format, explore, and restructure data for successful analysis \u003c\/li\u003e\n \u003cli\u003eInteract with databases and web APIs \u003c\/li\u003e\n \u003cli\u003eMaster key principles for visualising data accurately and intuitively \u003c\/li\u003e\n \u003cli\u003eProduce engaging, interactive visualisations with ggplot and other R packages \u003c\/li\u003e\n \u003cli\u003eTransform analyses into sharable documents and sites with R Markdown \u003c\/li\u003e\n \u003cli\u003eCreate interactive web data science applications with Shiny \u003c\/li\u003e\n \u003cli\u003eCollaborate smoothly as part of a data science team \u003c\/li\u003e\n \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eThe full text downloaded to your computer\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eWith eBooks you can:\u003c\/p\u003e \u003cul\u003e \u003cli\u003esearch for key concepts, words and phrases \u003c\/li\u003e\n \u003cli\u003emake highlights and notes as you study \u003c\/li\u003e\n \u003cli\u003eshare your notes with friends \u003c\/li\u003e\n \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eeBooks \u003c\/strong\u003eare downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. \u003c\/p\u003e \u003cp\u003eUpon purchase, you'll gain instant access to this eBook.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eTime limit\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThe \u003cstrong\u003eeBooks\u003c\/strong\u003e products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.\u003c\/p\u003e","brand":"Pearson Education","offers":[{"title":"Default Title","offer_id":46286513012974,"sku":"9780135159088","price":46.76,"currency_code":"AUD","in_stock":true}],"url":"https:\/\/bookland.com.au\/products\/data-science-foundations-tools-and-techniques","provider":"Book Land AU","version":"1.0","type":"link"}