Isbn: 9780135133101 - programming skills for data science: start writing code to wrangle, analyze, and visualize data with r (15 risultati)

Paperback. Condizione: Very Good. 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.…

Paperback. Condizione: Very Good. 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.…

Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Paperback. Condizione: new. Paperback. 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, analysed, and visualised so others can see the patterns you have uncovered. Step by step, you will 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 is focused on real-world application, so you can quickly start analysing 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 visualising data accurately and intuitively Produce engaging, interactive visualisations 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Paperback. Condizione: Brand New. 361 pages. 9.25x7.00x0.50 inches. In Stock.

Paperback. Condizione: new. Paperback. 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, analysed, and visualised so others can see the patterns you have uncovered. Step by step, you will 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 is focused on real-world application, so you can quickly start analysing 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 visualising data accurately and intuitively Produce engaging, interactive visualisations 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 Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Kartoniert / Broschiert. Condizione: New. &Uumlber den AutorMichael Freeman is 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 ca.

Taschenbuch. Condizione: Neu. Neuware - Leading instructors Michael Freeman and Joel Ross guide readers through installing and configuring the tools needed to solve professional-level data science problems, including the widely used R language and Git version-control system. They explain how to wrangle 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, students will master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales.…

Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: Used: Like New. LIVRE A L?ETAT DE NEUF. EXPEDIE SOUS 3 JOURS OUVRES. NUMERO DE SUIVI COMMUNIQUE AVANT ENVOI, EMBALLAGE RENFORCE. EAN:9780135133101.