International Journal of Data Scientist (IJDST)

International Journal of Data Scientist (IJDST) is specifically spotlights and honor the expertise, practical applications, and insights of professionals directly engaged in shaping the field of data science, underscoring their pivotal role within the broader discipline. Aim IJDST aims to serve as a pivotal catalyst driving the evolution and advancement of data science globally. Its primary objective is to curate, disseminate, and promote cutting-edge research findings, transformative insights, and innovative methodologies from data scientists worldwide. Scope The journal's scope encapsulates the multifaceted and dynamic landscape of data science. It provides a comprehensive platform for diverse contributions encompassing research, methodologies, and insightful perspectives from professionals across the global data science community. This inclusivity encourages exploration and innovation across various subfields and applications within data science.

International Journal of Data Scientist (IJDST) is :-

• International, Peer-Reviewed, Open Access, Refereed, Machine Learning Algorithms, Natural Language Processing (NLP), Computer Vision, Data Visualization and Interpretation, Ensemble Methods, Bayesian Methods, Sentiment Analysis, Marketing Analytics, Customer Segmentation, Geospatial Analysis, Financial Data Analysis, Graph Analytics , Online , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1660-1544, Established: 2024, Impact Factor: 5.50
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE