Data Science Insights

About the Journal

Data Science Insights, with ISSN 3031-1268 (Online) published by Visi Media Ntework is a journal that publishes Focus & Scope research articles, which include

Data Science and Machine Learning; Data Science and AI; Blockchain and Advance Data Science; Cloud computing and Big Data; Business Intelligence and Big Data; Statistical Foundation for Data Science; Probability and Statistics for Data Science; Statistical Inference via Data Science; Big Data and Business Analytics; Statistical Thinking in Business; Data Driven Statistical Methods; Statistical Methods for Spatial Data Analytics; Statistical Techniques for Data Analysis; Data Science in Communication; Information and Communication Technology; Graph Data Management for Social Network Applications; Metadata for Information Management; Information/Data: Organization and Access; Information Science and Electronic Engineering; Big Data and Social Science; Data Communication and Computer Network; ICT & Data Analytics.

The aim of Data Science Insights is to provide a platform for researchers, academicians, professionals, and practitioners to share and disseminate innovative ideas, empirical findings, and theoretical advances in the field of data science and its multidisciplinary applications. The journal seeks to promote the integration of data science methodologies with artificial intelligence, big data analytics, business intelligence, and information technology to address contemporary challenges and support decision-making processes across various sectors.

Through rigorous peer review and publication, Data Science Insights aims to enhance the understanding and development of data-driven solutions, encourage collaboration between academia and industry, and contribute to the advancement of science, technology, and society.

This journal is published by the Visi Media Network, which is published twice a year.