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Data Science Fundamentals with R, Python, and Open Data
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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
物品 #: 221588575

Data Science Fundamentals with R, Python, and Open Data

88% of respondents would recommend this to a friend

物品 #: 221588575

HKD 1167

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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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What Stands Out

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.

產品詳情

Shop Data Science Fundamentals with R, Python, and Open Data online at a best price in 香港. 1394213247
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)

產品敘述

Data Science Fundamentals with R, Python, and Open Data

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優點

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

缺點

  • Some advanced topics may be brief.

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HKD 1167

現在訂購，約可在下列時間收貨： 星期六, 十月 24

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特色和優勢

  • Learn essential R and Python concepts for data science.
  • Focus on open data with practical examples and case studies.
  • Interactive companion website with datasets and running code.
  • Exam-style and multiple choice questions for active learning.
  • Navigates real data complexities and provides solutions.
  • Ideal resource for diverse disciplines including hard sciences and medicine.

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