Best Reference Books – Educational Data Analytics

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We have compiled the list of Top 10 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 top 10 best books on Educational Data Analytics along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Educational Data Analytics subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Educational Data Analytics" as well as 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 top books; the table serves as a ready reckoner list of these best books.

1. “Data Analytics” by Anil Maheshwari

“Data Analytics” Book Review: This book explains the basic principles of data analytics. The chapters in this book are designed for a one-semester graduate course. It covers topics like business intelligence and its applications across industries and data mining. It also explains data processing chains, data warehousing and artificial neural networks. It describes statistical regression modeling techniques and cluster analysis. There are review questions at the end of each chapter and solved examples throughout the chapter. This book is suitable to those who want to understand data based decision-making for their business. But have no expertise with software tools. The book does not contain any programming code.

2. “DAX: Your Definitive Guide To LEarn And Write Dax (DAX, Big Data, Data Analytics, Business Intelligence)” by Adrian Venice

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“DAX: Your Definitive Guide To LEarn And Write Dax (DAX, Big Data, Data Analytics, Business Intelligence)” Book Review: This book helps the reader to write and understand DAX. It covers all the basic measures, calculation you need to know as a beginner. The chapters included are how DAX works in power pivot, DAX syntax, data types and date and time functions. It also described various functions used in DAX like information, filter, logical, text and parent child functions. At the end of every chapter there are dax exercises and puzzles for innovative learning. It also contains tips and troubleshooting to keep in mind. This book is suitable for beginners in DAX.

3. “Graphesis – Visual Forms of Knowledge Production (metaLABprojects)” by Johanna Drucker

“Graphesis – Visual Forms of Knowledge Production (metaLABprojects)” Book Review: This group describes the analysis of graphical knowledge. It highlights the principles by which visual formats organize meaningful content. It explains in detail the graphical user interface (GUI) format. This format is commonly used in most of the electronic divides. The book covers the reason how visual forms shape knowledge, our behavior, and even our identity. The topics are covered in the form of case studies on how graphic languages can serve fields where qualitative judgments take priority over quantitative statements of fact.

4. “Integrierte Business-Informationssysteme: ERP, SCM, CRM, BI, Big Data Analytics – Prozesssimulation, Rollenspiel, Serious Gaming” by Klaus-Dieter Gronwald

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“Integrierte Business-Informationssysteme: ERP, SCM, CRM, BI, Big Data Analytics – Process Simulation, Rollenspiel, Serious Gaming” Book Review: This book covers the latest developments in big data methods and in-memory computing. It is technology-driven innovations that permanently change corporate structures and their competitive situation. It explains the implementation of Supply Chain Management (SCM), Big Data Analytics (BDA) and Enterprise Resource Planning (ERP). These are implemented using standardised software systems. It also explains management-oriented thinking and acting which is required to understand the above topics. It explains in a business perspective for example as members of the executive board of a virtual model company for better understanding of the students.

5. “Serious Games Analytics (Advances in Game-Based Learning)” by Christian Sebastian Loh and Yanyan Sheng

“Serious Games Analytics (Advances in Game-Based Learning)” Book Review: This book contains research on how dta of game play can be used for performance measurement, assessment, and improvement. Existing experimental and emerging conceptual frameworks are used to devise the results. These are obtained from fields like computer science, software engineering and educational data mining statistics. Serious games is an emerging field where the games are created using sound learning theories and instructional design principles. These are used to maximize learning and training success. This book lets the readers know how stakeholders know what play-learners have done in the game environment and many other interesting information.

6. “Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data” by Andreas Holzinger and Gabriella Pasi

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“Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data” Book Review: This book contains the data from the Third Workshop on Human-Computer Interaction and Knowledge Discovery held in Maribor, Slovenia, in July 2013. 20 revised papers are described from 68 submissions of the workshop. The papers are reviewed and organised on topics of human-computer interaction and knowledge discovery, knowledge discovery and smart homes, smart learning environments, and visualization data analytics.

7. “Computer Assisted Assessment — Research into E-Assessment: International Conference” by Marco Kalz and Eric Ras

“Computer Assisted Assessment — Research into E-Assessment: International Conference” Book Review: This book contains data from the International Conference on Computer Assisted Assessment, held in Zeist, The Netherlands, in June/July 2014. 16 revised full papers are reviewed and organised from numerous other submissions. The topics discussed in the book are large-scale testing facilities in higher education, formative assessment for 21st century skills and future trends for technology-enhanced assessment. It also covers the latest advancements of technologies and practical experiences.

8. “Bayes Theorem : A Quick-Start Beginner’s Guide” by Andy Hayes

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“Bayes Theorem : A Quick-Start Beginner’s Guide” Book Review: This book describes the applications of the theorem. These are not limited to the financial sector only. Bayes’ theorem gives the probability of an event based on information that is or may be related to that event. The formula can be used to see how the probability of an event occurring is affected by new information. This book is suitable for the beginners who have just started learning it. The book contains many solved examples and exercises for practice.

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

“Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining)” Book Review: This book describes the impacts of data mining on education. It covers applications in educational research teaching, and learning in this field. It also explains the challenges faced and provides measures in data mining (DM) within educational mandates. The book discusses the four guiding principles of data mining that are prediction, clustering, rule association, and outlier detection. It contains case studies from various fields like Business, Humanities, Health Sciences and Physical Sciences that highlight the success of this field. This book features supplementary resources including a primer on foundational aspects of educational mining and learning analytics. It is designed by the experts of this field. This book is suitable for both scientists in EDM and teachers to improve education and advance educational research.

10. “Data Analytics Applications in Education” by Jan Vanthienen and Kristof De Witte

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“Data Analytics Applications in Education” Book Review: The generation of data in huge amounts in recent times has led to the rise of new quantitative and statistical techniques called data analytics. This method of decision making allows organizations to exploit big data analytics in their evaluation and decision processes. Data analytics techniques can be used to enhance the student’s learning process by providing real-time feedback and support for the teacher. The teacher can trace the learning of the student and work on the loose areas. The book stresses that data analytics in education should not be the domain of a single discipline. This book is useful to philosophers, computer scientists, and sociologists. This book provides methods to face the challenges ahead. Data analytics can be used as a very useful tool in the educational sector.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Educational Data Analytics – 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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Manish Bhojasia - Founder & CTO at Sanfoundry
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 | Youtube | Instagram | Facebook | Twitter