ISSN 2348-1196 (print) International Journal of Computer Science and Information Technology Research ISSN 2348-120X (online) Vol. 10, Issue 4, pp: (58-68), Month: October - December 2022, Available at: www.researchpublish.com
Research on data analysis Jumanah Hassan AlSanad Affiliation: The Public Authority for Applied Education and Training DOI: https://doi.org/10.5281/zenodo.7483737
Published Date: 26-December-2022
Abstract: In this research, we provide an overview of the concept of data analysis science, highlighting its importance and types. We also discuss the four primary types of data analysis and mentioned the data sources that companies rely on in the analysis process, as well as how to determine their quality. Additionally, we outline the stages that data undergoes during the analysis process before it becomes valuable information for the organization. We also mention various data types and finally how data analysis can contribute to education. Keywords: data analysis science, organization, education.
1. INTRODUCTION In this research, we will learn about the concept of data analysis, its capabilities, the most important techniques of data analysis, types of data analysis, and the stages through which data passes before it becomes useful. Information and insights for organizations and institutions We will also learn about the types and sources of data and how the analysis of this data can be used in education, to provide a variety of opportunities. And options to improve the education process
2. SUBJECT Topics: The most important terms in the study and analysis of data in the field of :(electronic) education Academic analytics is the process by which analysis is used to provide organizations with the data necessary to support operational. organizational, and financial decision-making Educational data mining a set of methods and tools that focus on researching and trying to understand and explore educational data patterns and adapt them to improve the educational process Learning analytics the processes concerned with measuring, collecting, and analyzing learner data and its contexts in order to understand the learning process and the environments in which learning occurs and to improve the educational process data analysis process: Data analysis is the process of arranging, collecting, purifying, and modeling “data” in multiple ways. To extract useful information to make decisions in specific areas such as finance, business, health, etc., and the main purpose of data analysis is to extract useful information from it and make effective decisions based on it. This extracted information is also used to explain phenomena that occurred during a specific time, to know the reasons for their occurrence, and to make decisions based on logical data and with a high percentage of correctness. It is worth noting that data is not information. Data is a set of letters words, numbers, symbols, or raw images related to a particular topic. While information is the result of processing a specific set of data, the result of the processing is understandable to the people involved, unlike data.
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