Best Reference Books – Educational Data Analytics

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We have compiled a list of Best Reference Books on Educational Data Analytics Subject. These books are used by students of top universities, institutes and colleges.

Here is the full list of best reference books on Educational Data Analytics.

We have put a lot of effort into researching the best books for reference on this subject and came out with a recommended list of best books. The table below contains a review of these books and links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these books; the table serves as a ready reckoner list of these best books.

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1. “Data Analytics” by Anil Maheshwari
2. “DAX: Your Definitive Guide To LEarn And Write Dax (DAX, Big Data, Data Analytics, Business Intelligence)” by Adrian Venice
3. “Graphesis – Visual Forms of Knowledge Production (metaLABprojects)” by Johanna Drucker
4. “Integrierte Business-Informationssysteme: ERP, SCM, CRM, BI, Big Data Analytics – Prozesssimulation, Rollenspiel, Serious Gaming” by Klaus-Dieter Gronwald
5. “Serious Games Analytics (Advances in Game-Based Learning)” by Christian Sebastian Loh and Yanyan Sheng
6. “Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data” by Andreas Holzinger and Gabriella Pasi
7. “Computer Assisted Assessment — Research into E-Assessment: International Conference” by Marco Kalz and Eric Ras
8. “Bayes Theorem : A Quick-Start Beginner’s Guide” by Andy Hayes
9. “Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining)” by Osmar R Zaïane and Samira ElAtia
10. “Data Analytics Applications in Education” by Jan Vanthienen and Kristof De Witte

People who are searching for Free downloads of books and free pdf copies of these books – “Data Analytics” by Anil Maheshwari, “DAX: Your Definitive Guide To LEarn And Write Dax (DAX, Big Data, Data Analytics, Business Intelligence)” by Adrian Venice “Graphesis – Visual Forms of Knowledge Production (metaLABprojects)” by Johanna Drucker, “Integrierte Business-Informationssysteme: ERP, SCM, CRM, BI, Big Data Analytics – Prozesssimulation, Rollenspiel, Serious Gaming” by Klaus-Dieter Gronwald , “Serious Games Analytics (Advances in Game-Based Learning)” by Christian Sebastian Loh and Yanyan Sheng, “Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data” by Andreas Holzinger and Gabriella Pasi, “Computer Assisted Assessment — Research into E-Assessment: International Conference” by Marco Kalz and Eric Ras , “Bayes Theorem : A Quick-Start Beginner’s Guide” by Andy Hayes, “Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining)” by Osmar R Zaïane and Samira ElAtia, “Data Analytics Applications in Education” by Jan Vanthienen and Kristof De Witte – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on “Educational Data Analytics” so that one can readily see the list of top books on “Educational Data Analytics” and buy the books either online or offline.

If any more book needs to be added to the list of best books on Educational Data Analytics Subject, please let us know.

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Sanfoundry Global Education & Learning Series – Best Reference Books!

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn