International Journal of Data Science Research and Development (IJDSRD)

The International Journal of Data Science Research and Development (IJDSRD) is a distinguished open-access scholarly publication brought to you by IAEME Publication. It is exclusively devoted to the advancement of the field of data science. This journal serves as a medium for facilitating the exchange of cutting-edge research and practical applications within the realm of data science. IJDSRD embraces a wide spectrum of topics, spanning data mining, machine learning, big data analytics, statistical analysis, predictive analytics, natural language processing, data visualization, data privacy and security, as well as the real-world applications of data science. Through the publication of original research articles, reviews, and technical notes, IJDSRD actively contributes to the body of knowledge and understanding of data science methodologies. By providing a dedicated platform for the dissemination of high-quality research, IJDSRD aims to foster the growth and impact of data science across diverse domains. Aim: The primary aim of the International Journal of Data Science Research and Development (IJDSRD) is to advance the field of data science by: Promoting Cutting-Edge Research: IJDSRD aims to showcase and disseminate the latest research findings and innovations in data science, thus staying at the forefront of technological advancements and emerging trends in the field. Facilitating Knowledge Exchange: The journal provides a platform for researchers and practitioners to share insights, methodologies, and practical applications, fostering a dynamic and collaborative environment. Encompassing a Broad Spectrum: IJDSRD seeks to cover a comprehensive range of topics in data science, acknowledging its multidisciplinary nature and its significance in various domains.

International Journal of Data Science Research and Development (IJDSRD) is :-

• International, Peer-Reviewed, Open Access, Refereed, Data Mining, Machine Learning, Big Data Analytics, Statistical Analysis, Predictive Analytics, Data Visualization, Natural Language Processing, Data Privacy and Security, Real-World Applications of Data Science , Online , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2811-6201, Established: 2021, Impact Factor: 17.50
• Does Not Provide Crossref DOI

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