Harnessing Students’ Conceptual Understanding for Authentic Data Analytics Skills: Envisioning Malaysian Supply and Demand


  • Hairulliza Mohamad Judi Software Technology and Management Research Centre, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, MALAYSIA
  • Zanaton Iksan Centre of STEM Enculturation, Faculty of Education, Universiti Kebangsaan Malaysia, 43600 Bangi, MALAYSIA
  • Noraidah ‘Sahari @ Ashaari Software Technology and Management Research Centre, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, MALAYSIA




authentic learning, conceptual understanding, data analytics


The emergence of Data Science driven by the need to deal with data systematically and intelligently puts modern statistical practice as an important weapon. In line with the development of Data Science, the rebranding of statistics education took place in institutions of higher learning that used new labels such as data analytics courses to replace the old name of statistics courses. The objective of this paper is to highlight the implementation of teaching and learning of data analytics on three issues namely the development of the field of data analytics in the country, the challenges of implementing data analytics teaching and learning at the tertiary level and the direction of data analytics teaching and learning. Based on the shift in the paradigm of data analytics pedagogy to practical and interactive integration of conceptual understandings, recommendations for the teaching and learning of data analytics are discussed.


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How to Cite

Mohamad Judi, H., Iksan, Z., & ‘Sahari @ Ashaari, N. (2022). Harnessing Students’ Conceptual Understanding for Authentic Data Analytics Skills: Envisioning Malaysian Supply and Demand. EDUCATUM Journal of Science, Mathematics and Technology, 9(1), 72–78. https://doi.org/10.37134/ejsmt.vol9.1.7.2022