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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

HUF 116354

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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 Hungary. 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

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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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