Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git

Langue : anglais

Edité par Pearson Education (US), 2018

0135133106 / 9780135133101

Série : Livre 5 sur 14 - Addison-Wesley Data & Analytics

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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 RStudioManage projects efficiently, from version tracking to documentationHost, manage, and collaborate on data science projects with GitHubMaster R language fundamentals: syntax, programming concepts, and data structuresLoad, format, explore, and restructure data for successful analysisInteract with databases and web APIsMaster key principles for visualizing data accurately and intuitivelyProduce engaging, interactive visualizations with ggplot and other R packagesTransform analyses into sharable documents and sites with R MarkdownCreate interactive web data science applications with ShinyCollaborate 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.…

N° de réf. du vendeur 00107376189

Titre
Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git
Auteur
Michael Freeman
Éditeur
Pearson Education (US)
Année de publication
2018
État de l'article
Very Good
Reliure
Paperback
Langue
anglais
ISBN à 10 chiffres
0135133106
ISBN à 13 chiffres
9780135133101
Série
Livre 5 sur 14: Addison-Wesley Data & Analytics

World of Books (was SecondSale)

Montgomery, IL, Etats-Unis

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 20 décembre 2007

Frais d'expédition à l'intérieur de ce pays : Etats-Unis

Article4 à 12 jours ouvrés3 à 6 jours ouvrés
Premier articleEUR 0,00EUR 9,74
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Founded in 2002, World of Books is a leading online destination for buying and selling both preloved and new books, committed to making sustainable reading accessible to all. With a mission to help people read more and waste less, World of Books offers a huge range of affordable, high-quality books — giving both new and preloved titles a second life. The company also operates World of Books – Sell Your Books, an easy-to-use platform that allows customers to trade in unwanted books for cash, helping to keep books in circulation while promoting sustainability. As a Certified B Corp, World of Books is driven by a vision to become the world’s largest and most sustainable dedicated online bookstore. The company measures its success through the positive environmental impact it creates, the value it provides to customers, and its ability to operate profitably while supporting its sustainable mission …

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