R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
genuine image
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data 1st Edition is designed to get you doing data science as quickly as possible
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Numéro d'article: 3558446

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Numéro d'article: 3558446

CHF 40

Détails du prix

Hors frais de livraison et de douane ( Les frais de livraison et de douane seront calculés lors du paiement )

*Tous les articles seront importés depuis États-Unis

En stock
États-Unis Importé depuis la boutique USA

QTY:

Commandez maintenant et recevez votre commande aux alentours du Samedi, Août 22
Transaction sécuriséeTransaction sécurisée

Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data 1st Edition is designed to get you doing data science as quickly as possible
Garantie U-Care :
Aucun
Sélectionnez un forfait
fast shipping

Livraison
rapide

free return

Retour
gratuit*

Emballage sécurisé

Emballage sécurisé

Produits 100 % originaux

Produits 100 % originaux

pci-dss

Conformité PCI DSS

iso certified

Certifié ISO 27001

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of États-Unis store (110-120). Recommended power converters Acheter maintenant.

Ce qui se démarque

Comprehensive Approach
Covers the entire data workflow including importing, tidying, transforming, visualizing, and modeling, enabling readers to acquire holistic data science skills efficiently.
Hands-On Learning
Includes practical exercises and real-world examples that enhance understanding, allowing learners to apply data science techniques directly to their projects.
Beginner Friendly
Written for novices in R and data science, the text breaks down complex concepts into digestible parts, making it accessible for readers without prior experience.

Détails du produit

Shop 1st Edition of R for Data Science at Ubuy Switzerland. Import, Tidy, Transform, Visualize, Model Data & more with this comprehensive book for data enthusiasts.
  • Learn how to use R to turn raw data into insight, knowledge, and understanding
  • Introduces you to R, RStudio, and the tidyverse for efficient data science
  • Suitable for readers with no previous programming experience
  • Covers importing, wrangling, exploring, modeling, and communicating data
  • Includes exercises to practice what you've learned
  • O'Reilly's mission is to change the world by sharing the knowledge of innovators
Publisher O'Reilly Media
Publication date January 31, 2017
Edition 1st
Language English
Print length 518 pages
ISBN-10 1491910399
ISBN-13 978-1491910399
Item Weight 1.76 pounds (800 grams)
Dimensions 5.9 x 1.2 x 8.8 inches (15 x 3 x 22.4 cm)

À qui est-ce destiné ?

Suitable For
  • Aspiring Data Scientists

    Perfect for beginners looking to learn essential data science techniques using R programming for practical applications.

  • Statistical Analysts

    Ideal for analysts needing to streamline data processes and enhance their statistical analysis skills with R.

  • Students in Data Programs

    A great resource for students in data science or statistics programs to strengthen their understanding of R tools.

Not Suitable For
  • Absolute Beginners

    Not suitable for those with no programming background, as prior knowledge of coding is necessary.

DESCRIPTION DU PRODUIT

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What is R for Data Science about?

    répondre: R for Data Science is a comprehensive guide that introduces readers to the R programming language, specifically focused on data analysis. It covers essential concepts such as importing data, tidying datasets, transforming data formats, visualizing data through graphs, and applying statistical models. This resource is designed for beginners and intermediate users looking to enhance their data manipulation and visualization skills, providing practical examples and use cases to help users understand how to effectively work with data in R.
  • question: Who is the author of R for Data Science?

    répondre: R for Data Science is authored by Hadley Wickham and Garrett Grolemund, both renowned figures in the data science community. Wickham is known for his contributions to the R ecosystem, particularly in developing widely-used R packages such as ggplot2 and dplyr. Grolemund, an expert in teaching and statistical programming, collaborates with Wickham to offer a clear and engaging approach to mastering data science with R. Their combined expertise ensures that readers receive a robust and well-structured learning experience.
  • question: What skills will I learn from R for Data Science?

    répondre: Readers of R for Data Science will gain a variety of skills that are pivotal in data analysis. These include the ability to import and clean data, utilize the tidyverse package for data manipulation, and create stunning visualizations using ggplot2. Additionally, the book addresses modeling techniques that allow users to derive insights from data. Such skills are valuable not only for pursuing careers in data science but also for enhancing analytical capabilities in various fields like business, healthcare, and social research.
  • question: Is R for Data Science suitable for beginners?

    répondre: Yes, R for Data Science is well-suited for beginners who have little or no prior experience with programming. The authors present concepts in a clear, accessible manner, progressively guiding readers through foundational topics before moving to more advanced techniques. Each chapter features hands-on exercises that reinforce learning, making it ideal for those looking to quickly build confidence in using R for data analysis. This book acts as a stepping stone for anyone eager to enter the world of data science.
  • question: Can I use R for Data Science in a professional setting?

    répondre: Absolutely! R for Data Science equips professionals with critical tools and knowledge to tackle real-world data challenges. The skills learned from this book can be applied in various industries such as finance, marketing, healthcare, and tech. By mastering the techniques presented, individuals can analyze complex datasets, derive actionable insights, and improve decision-making processes within their organizations. Many data analysts and scientists rely on this framework to enhance their productivity and effectiveness at work.
  • question: What types of data can I analyze with R for Data Science?

    répondre: R for Data Science teaches you to analyze various types of data, including structured data, unstructured data, and time series data. The methods outlined in the book enable users to process data from spreadsheets, databases, and APIs, among others. By adopting the principles of tidy data, you can work with datasets that contain many variables and observations efficiently. This versatility makes R a powerful tool for handling diverse data formats across multiple domains.
  • question: Does R for Data Science cover data visualization?

    répondre: Yes, R for Data Science places strong emphasis on data visualization, a crucial aspect of data analysis. The book delves into using ggplot2, a popular package for creating elegant visual representations of data. Readers will learn how to create various types of visualizations such as scatter plots, bar charts, and line graphs, thereby effectively communicating insights. By mastering these visualization techniques, users can present their findings in a more compelling and understandable way, enriching their storytelling with data.
  • question: Are there any supplementary resources for R for Data Science?

    répondre: Yes, alongside the book, there are numerous supplementary resources available online. The authors provide access to a dedicated website that hosts additional materials, including practice datasets, example R code, and forums for community support. Additionally, online courses complement the book's teachings, offering video tutorials that enhance understanding of complex topics. Engaging with these resources helps reinforce learning and offers practical application of the concepts presented in R for Data Science.
  • question: Can R for Data Science help with machine learning?

    répondre: R for Data Science introduces foundational concepts related to machine learning, enabling readers to apply statistical modeling techniques to real datasets. The book covers models such as linear regression and decision trees, which provide the basis for more advanced machine learning methods. Understanding these techniques within the context of R can help users start working on predictive analytics and model evaluation, making it a helpful resource for those looking to delve deeper into the field of data science.
  • question: Where can I buy R for Data Science: Import, Tidy, Transform, Visualize, and Model Data 1st Edition?

    répondre: You can buy R for Data Science: Import, Tidy, Transform, Visualize, and Model Data 1st Edition from Ubuy in Switzerland. Ubuy is a leading online shopping platform that offers a diverse range of products, including books. With its detailed product descriptions and user-friendly interface, Ubuy makes it convenient to find this essential resource for mastering data analysis in R.

Probability & Statistics Editorial Review

The book "R for Data Science: Import, Tidy, Transform, Visualize, and Model Data 1st Edition" is well organized and very engaging, making it a favorite for many users. The support materials are easy to access and the author and publisher are easy to contact if necessary. It is a great contribution to one's library and brings a lot of concepts and well-written code. However, there are some issues with the paperback version of the book, where the binding is poor, and pages are falling out. The content is still good, but it is evident that the binding is of low quality. In summary, "R for Data Science" is a good book for those who want to learn R and is a great supplement to help while practicing. The content is engaging and brings a lot of helpful concepts and examples, making it a great addition to any library.

Avis et évaluations clients

1 évaluations des clients
  • 5 étoile
    100%
  • 4 étoile
    0%
  • 3 étoile
    0%
  • 2 étoile
    0%
  • 1 étoile
    0%

Donnez votre avis sur ce produit

Partagez votre avis avec d'autres clients

Avantages

  • Well organized
  • Engaging
  • Provides good foundational knowledge and reference
  • Brings a lot of helpful concepts and examples

Les inconvénients

  • Poor quality binding in paperback version.

CONFIANCE EN LA PLATEFORME & PROTECTION DE L'ACHETEUR

trustpilot logo
4.2/5 9250 + reviews
Lire les avis
MA
Mohammad
Acheteur vérifié

“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
CK
Chitra
Acheteur vérifié

“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”

22-Jul-26 · via Trustpilot
K
kund
Acheteur vérifié

“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”

23-Jul-26 · via Trustpilot
OO
Onesi
Acheteur vérifié

“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”

22 July 2026 · via Trustpilot
SJ
SAO JOHN
Acheteur vérifié

“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”

23 July 2026 · via Trustpilot
Paiement sécurisé Global Delivery Retours faciles Genuine Products

Historique des prix du produit

Informations importantes

  • Limitations : Pour les produits expédiés à l'international, veuillez noter que toute garantie du fabricant peut ne pas être valide ; les options de service du fabricant peuvent ne pas être disponibles ; les manuels, instructions et avertissements de sécurité des produits peuvent ne pas être dans les langues du pays de destination ; les produits (et les matériaux qui les accompagnent) peuvent ne pas être conçus conformément aux normes, spécifications et exigences d'étiquetage du pays de destination ; et les produits peuvent ne pas être conformes à la tension et aux autres normes électriques du pays de destination (nécessitant l'utilisation d'un adaptateur ou d'un convertisseur le cas échéant). Il incombe au destinataire de s'assurer que le produit peut être importé légalement dans le pays de destination. En cas de commande auprès d'Ubuy ou de ses filiales, le destinataire est l'importateur officiel et doit se conformer à toutes les lois et réglementations du pays de destination.
  • Tous les produits listés sur Ubuy ne sont pas à vendre, Ubuy étant un moteur de recherche mondial. Les produits sont soumis aux réglementations en matière d'exportation et de commerce.

CHF 40

Commandez maintenant et recevez votre commande aux alentours du Samedi, Août 22

QTY:

Transaction sécuriséeTransaction sécurisée

Conforme PCI DSS et certifié ISO 27001:2022, avec des paiements chiffrés et une protection complète de l'acheteur pour chaque commande.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Livraison transfrontalière la plus rapide

Caractéristiques et avantages

  • Introduces you to R, RStudio and tidyverse
  • Suitable for readers with no previous programming experience
  • Complete, big-picture understanding of the data science cycle
  • Paired with exercises to help you practice
  • Learn how to wrangle, program, explore, model and communicate using R
  • Provides basic tools to manage details

Assurance Ubuy

Profitez d'une expérience d'achat sereine avec des produits 100 % originaux, une sécurité de paiement conforme PCI DSS, une protection des données certifiée ISO 27001, la livraison transfrontalière la plus rapide, les retours gratuits* et un emballage sécurisé pour chaque commande.