Teaching an Introductory Data Analytics Course Using Microsoft Access® and Excel®

Faisal Aqlan, Joshua C. Nwokeji, Abdulrahman Shamsan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations


Data analytics has been recently adopted by many researchers and professionals working with data in both academic and industry. With the increase in demand for data analysts, there has been a parallel growth in data analytics training programs within companies and educational institutions. In this paper, we introduce the concepts of data analytics and present practical examples using Microsoft Access and Excel. The four types of data analytics (i.e., descriptive, diagnostic, predictive, and prescriptive) are discussed and practical examples are provided. For descriptive analytics, we discuss the data properties and models and present examples of database design and implementation in Microsoft Access. The example for diagnostic analytics involves an ergonomic assessment application in Microsoft Excel to identify the sources of ergonomic risks in work environments. Predictive analytics examples include regression and clustering models implementation in Microsoft Excel. Finally, the prescriptive analytics example involves optimizing the snow removal process in a local city by developing an optimization model and its implementation in Excel. These examples will help students understand data analytics and be able to implement the different data analytics models in Microsoft Access and Excel.

Original languageEnglish (US)
Title of host publication2020 IEEE Frontiers in Education Conference, FIE 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728189611
StatePublished - Oct 21 2020
Event2020 IEEE Frontiers in Education Conference, FIE 2020 - Uppsala, Sweden
Duration: Oct 21 2020Oct 24 2020

Publication series

NameProceedings - Frontiers in Education Conference, FIE
ISSN (Print)1539-4565


Conference2020 IEEE Frontiers in Education Conference, FIE 2020

All Science Journal Classification (ASJC) codes

  • Software
  • Education
  • Computer Science Applications


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