The International Journal of Data Science (IJoDS) leads the charge in the data science domain, innovating at the intersection of data inferences, algorithmic advancements, and technology. Our focus is to leverage data to unravel and solve analytical complexities, fostering the evolution of advanced tools and methodologies that propel the industry forward.Scope of the International Journal of Data Science (IJoDS)

Our scope encompasses a broad spectrum of data-centric topics, including:

• Data Capture: We examine the methodologies of data acquisition, entry, signal reception, and extraction, laying the groundwork for comprehensive data analysis.
• Data Maintenance: Our journal addresses the critical aspects of data warehousing, cleansing, staging, processing, and architecture to maintain data's relevance and accuracy over time.
• Data Processing: The journal navigates the complexities of data mining, clustering, classification, modeling, and summarization, turning raw data into meaningful insights.
• Data Communication: We explore innovative strategies for data reporting, visualization, and intelligence that inform and facilitate strategic decision-making.
• Data Analysis: IJoDS delves into the analytical exploration of data using predictive and regression analysis, text mining, and both exploratory and confirmatory methods to yield qualitative insights.

These pillars define the range of scholarly articles that IJoDS proudly publishes, contributing to the ever-evolving conversation in data science.