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Data Analytics Applications Online Learning Analytics, (Hardcover)
This book focuses on how learning analytics can measure student e-learning outcomes.
Data Analytics Applications Online Learning Analytics, (Hardcover)
Item #: 255202475

Data Analytics Applications Online Learning Analytics, (Hardcover)

Item #: 255202475

SAR 1134

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    This book focuses on how learning analytics can measure student e-learning outcomes.
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    Product Details

    Shop Data Analytics Applications Online Learning Analytics, (Hardcover) online at a best price in Saudi Arabia. 983406817
    Book formatHardcover
    Fiction/nonfictionNon-Fiction
    GenreComputing & Internet
    Publication dateDecember, 2021
    Pages232
    SubgenreData Science
    Series titleData Analytics Applications
    Edition1
    PublisherTaylor & Francis Ltd (Sales)
    Original languagesEnglish
    LanguageEnglish
    Edu focusMathematics
    Educational levelGeneral
    Is collectibleN
    EditorJay Liebowitz
    Binding typeCase Binding
    Recording time0 min
    Retail packagingSingle Piece
    Assembled product dimensions (l x w x h)6.14 x 0.63 x 9.21 in (15.6 x 1.6 x 23.4 cm)
    Assembled product weight1.22 lb (550 grams)
    Bisac subject headingComputers

    Product Description

    Data Analytics Applications Online Learning Analytics, (Hardcover)

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    Jay Liebowitz All Books Editorial Review

    Data Analytics Applications Online Learning Analytics (Hardcover) provides essential insights into the field of data science. This non-fiction work, published in December 2021 by Taylor & Francis Ltd, spans 232 pages and is designed for a general audience with an educational focus on mathematics. The book is part of the Data Analytics Applications series, helmed by editor Jay Liebowitz, and is presented in a durable case binding format. Readers can expect a thorough exploration of computing and internet applications, making it a valuable resource for anyone interested in enhancing their understanding of data analytics.

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    Pros

    • Durable hardcover ensures longevity
    • Detailed insights into data science
    • Educational focus suitable for general audiences
    • Part of a recognized series on analytics
    • Well-structured for easy understanding

    Cons

    • Some readers may find it dense for beginners

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