Special Issue on Data Science and Analytics

Data Science and Analytics is a field of study that involves the extraction, interpretation, and utilization of large and complex data sets to gain insights and make informed decisions. It combines techniques from various disciplines like statistics, computer science, and mathematics to analyze data and derive meaningful patterns and trends. The goal of this special issue is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in this area of Data Science and Analytics.

In this special issue, we invite front-line researchers and authors to submit original research and review articles that explore Data Science and Analytics. In this special issue, potential topics include, but are not limited to:

• Descriptive Analytics
• Predictive Analytics
• Prescriptive Analytics
• Big Data Analytics
• Machine Learning
• Natural Language Processing (NLP)
• Data Mining

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly specify the “Special Issue” under your manuscript title. The research field “Special Issue - Data Science and Analytics” should be selected during your submission.

Special Issue timetable:

Guest Editor:

For further questions or inquiries

Please contact Editorial Assistant at

ns@scirp.org