{"product_id":"programming-skills-for-data-sciencepstart-writing-code-to-wrangle-analyze-and-visualize-data-with-r-paperback-p","title":"Programming Skills For Data Science (Paperback)","description":"\u003cdiv\u003e\u003cspan style=\"font-size:16px;\"\u003e\u003cspan style=\"color:#000000;\"\u003eProgramming Skills for Data Science brings together all the foundation skills needed to transform raw data into actionable insights for domains ranging from urban planning to precision medicine, even if you have no programming or data science experience. Guided by expert instructors Michael Freeman and Joel Ross, this book will help learners install the tools required to solve professional-level data science problems, including widely used R language, RStudio integrated development environment, and Git version-control system. It explains how to wrangle data into a form where it can be easily used, analyzed, and visualized so others can see the patterns uncovered. Step by step, students will master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales.\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003eFeatures:\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e1. Guides students through setting up their computer for data science, understanding how the pieces fit together, and successfully using them to solve real problems.\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e2. Introduces R, RStudio, git, GitHub, Markdown, Shiny, and other leading tools.\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e3. Covers everything from preparing raw data to creating beautiful, sharable visualizations.\u003cbr style=\"font-family: \" amazon ember arial sans-serif font-size:\u003e4. Anticipates questions and demystifies complex ideas, reflecting the authors’ experience introducing data science to thousands of students.\u003c\/span\u003e\u003c\/span\u003e\u003c\/div\u003e\u003cdiv style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003e\u003cspan style=\"font-size:16px;\"\u003e\u003cspan style=\"color:#000000;\"\u003e  About the Author\u003c\/span\u003e\u003c\/span\u003e\u003c\/div\u003e\u003cdiv class=\"a-section a-spacing-small a-padding-small\" style=\"box-sizing: border-box; margin-bottom: 0px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif padding:=\"\"\u003e\u003cspan style=\"font-size:16px;\"\u003e\u003cspan style=\"color:#000000;\"\u003e\u003cstrong\u003eMichael Freeman \u003c\/strong\u003eis a senior lecturer at the University of Washington Information School, where he teaches courses in data science, interactive data visualization, and web development. Prior to his teaching career, he worked as a data visualization specialist and research fellow at the Institute for Health Metrics and Evaluation. There, he performed quantitative global health research and built a variety of interactive visualization systems to help researchers and the public explore global health trends. Michael is interested in applications of data visualization to social justice, and holds a Master’s in Public Health from the University of Washington.\u003c\/span\u003e\u003c\/span\u003e\u003c\/div\u003e\u003cdiv class=\"a-section a-spacing-small a-padding-small\" style=\"box-sizing: border-box; margin-bottom: 0px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif padding:=\"\"\u003e\u003cspan style=\"font-size:16px;\"\u003e\u003cspan style=\"color:#000000;\"\u003e\u003cstrong\u003eJoel Ross \u003c\/strong\u003eis a senior lecturer at the University of Washington Information School, where he teaches courses in web development, mobile application development, software architecture, and introductory programming. While his primary focus is on teaching, his research interests include games and gamification, pervasive systems, computer science education, and social computing. He has also done research on crowdsourcing systems, human computation, and encouraging environmental sustainability. Joel earned his M.S. and Ph.D. in information and computer sciences from the University of California, Irvine.\u003c\/span\u003e\u003c\/span\u003e\u003c\/div\u003e","brand":"Pearson Education","offers":[{"title":"Default Title","offer_id":50506219487302,"sku":"9789389552928","price":612.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/81JiCjA_ZfL.jpg?v=1790323575","url":"https:\/\/cb-india.com\/products\/programming-skills-for-data-sciencepstart-writing-code-to-wrangle-analyze-and-visualize-data-with-r-paperback-p","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}