Interdisciplinary Role of Data Analytics - Abstract
Dr. Mayur S. Desai
Data science is a new interdisciplinary field of research focused on extracting value from data and integrating knowledge and methods from computer science, mathematics and statistics, and the domain knowledge of the data (Hazzan & Koby August 2021). Data Analytics is a major activity within the Data Science. It facilitates transforming the enormous amount of data into visual form that is understandable and meaningful to the problem solver in the decision-making process. There are two aspects to the data analytics – the domain knowledge of the data (information literacy) and the ability to use software application tools (technical literacy). A data scientist needs efficiency and subsequent problem solution.
A paper is being developed to present few examples of the data analytics tools, such as RapidMiner, Tableau, Power BI, and Python/R programming, that data scientists use for problem solving and decision making. The examples include brief explanations of the problem domains and the data analytic tools used in extracting, transforming and loading (ETL) the data for processing and subsequent problem solving and decision making. The paper further presents the guiding principles used in identifying the critical parameters to be monitored in evaluating the system performance. A concept of developing dashboards
Adviso r Dr. Mayur Desai Ayodele Olofinsao John Idoko Blessing Ezeudu
and how they display the critical parameters will be briefly introduced.
In conclusion, the paper will outline the future direction and shape of the future job outlook in the field of data analytics and in general the data science.
Orit Hazzan, Koby Mike, “A Journal for Interdisciplinary Data Science Education, Communications of the ACM”, August 2021, Vol. 64 No. 8, Pages 10-11
Dmilola Alade Aliza Durvesh President Lesia Crumpton Young
As a project to demonstrate how to transform data as described above, the JHJ School graduate students enrolled in MIS 688 Predictive Analytics course presented a poster at the TSU Research Week 2022. The title of the poster presentation was “Interdisciplinary Data Literacy”. The poster presentation was visited by faculty/students from various schools at Texas Southern University. Our students responded to the questions asked by the visitors. They also provided a brief demo and presentation of various data analytics tools such as, RapidMiner, Power BI, Tableau. The comments made by the visiting faculty and students were very encouraging. The JHJ School of Business appreciates and congratulates the graduate student participants on their excellent performance in promoting the school at the TSU Research Week 2022!
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