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Data Science Fundamentals with R, Python, and Open Data
Data Science Fundamentals with R, Python, and Open Data is a highly accessible learning resource for students from heterogeneous disciplines.
Data Science Fundamentals with R, Python, and Open Data
vare #: 221588575

Data Science Fundamentals with R, Python, and Open Data

vare #: 221588575

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Data Science Fundamentals with R, Python, and Open Data is a highly accessible learning resource for students from heterogeneous disciplines.
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Det som utmerker seg

Comprehensive Curriculum
Covers essential data science concepts using R, Python, and open data, providing a solid foundation for beginners and intermediates alike.
Hands-On Learning
Incorporates practical exercises and real-world datasets, enhancing learner engagement and reinforcing concepts through active participation.
Multilingual Support
Utilizes both R and Python, catering to diverse audience preferences and allowing learners to choose the tool that best suits their needs.

Produkt detaljer

Shop Data Science Fundamentals with R, Python, and Open Data online at a best price in NORGE. 1394213247
  • Data Science Fundamentals with R, Python, and Open DataIntroduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projectsOrganized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the two. The text examines intricacies and inconsistencies often found in real data, explaining how to recognize them and guiding readers through possible solutions, and enables readers to handle real data confidently and apply transformations to reorganize, indexing, aggregate, and elaborate. This book is full of reader interactivity, with a companion website hosting supplementary material including datasets used in the examples and complete running code (R scripts and Jupyter notebooks) of all examples. Exam-style questions are implemented and multiple choice questions to support the readers’ active learning. Each chapter presents one or more case studies. Written by a highly qualified academic, Data Science Fundamentals with R, Python, and Open Data discuss sample topics such as: Data organization and operations on data frames, covering reading CSV dataset and common errors, and slicing, creating, and deleting columns in R Logical conditions and row selection, covering selection of rows with logical condition and operations on dates, strings, and missing values Pivoting operations and wide form-long form transformations, indexing by groups with multiple variables, and indexing by group and aggregations Conditional statements and iterations, multicolumn functions and operations, data frame joins, and handling data in list/dictionary formatData Science Fundamentals with R, Python, and Open Data is a highly accessible learning resource for students from heterogeneous disciplines where Data Science and quantitative, computational methods are gaining popularity, along with hard sciences not closely related to computer science, and medical fields using stochastic and quantitative models.
Publisher Wiley
Publication date April 16, 2024
Edition 1st
Language English
Print length 480 pages
ISBN-10 1394213247
ISBN-13 978-1394213245
Item Weight 2.25 pounds (1.02 kg)
Dimensions 7 x 1.25 x 10 inches (17.8 x 3.2 x 25.4 cm)

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Fordeler

  • Comprehensive coverage of data science
  • Includes practical exercises
  • User-friendly for beginners
  • Covers popular programming languages
  • Access to open data resources

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  • Some advanced topics may be brief.

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