Development of a Modularized Undergraduate Data Science and Big Data Curricular Using No-Code Software Development Tools

Author:

Mafukidze Harry D.1ORCID,Nechibvute Action1,Yahya Abid2ORCID,Badruddin Irfan Anjum3,Kamangar Sarfaraz3ORCID,Hussien Mohamed4

Affiliation:

1. Department of Applied Physics and Telecommunications, Midlands State University, Gweru, Zimbabwe

2. Department of Electrical, Computer and Telecommunications Engineering, Botswana International University of Science and Technology, Palapye, Botswana

3. Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha, Saudi Arabia

4. Department of Chemistry, Faculty of Science, King Khalid University, Abha, Saudi Arabia

Funder

Deanship of Scientific Research, King Khalid University, through the Large Groups

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference72 articles.

1. The age of analytics: Competing in a data-driven world;Analytics,2016

2. Curriculum Guidelines for Undergraduate Programs in Data Science

3. A Conceptual Model to Support the Transmuters in Acquiring the Desired Knowledge of a Data Scientist

4. The Elements of Statistical Learning

5. Orange: Data mining toolbox in Python;Demsar;J. Mach. Learn. Res.,2013

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