IJSDS

Aims & Scope

International Journal of Statistics and Data Science is a platform dedicated to the dissemination of research and findings in the fields of statistics and data science. This journal serves as a valuable resource for academic researchers, practitioners, and data scientists, offering insights into both theoretical and applied aspects of these disciplines. The journal covers a broad range of topics, including statistical theory, data analysis, machine learning, data mining, computational statistics, and biostatistics. It is dedicated to advancing the understanding and practical applications of statistical methodologies in various fields, such as healthcare, finance, social sciences, and engineering. By fostering knowledge exchange and collaboration among researchers and practitioners, it aims to contribute significantly to the growth and understanding of these vital fields in an increasingly data-centric world.

The topics related to this journal include but are not limited to:

1. Data Science 

2. Statistics 

3. Machine Learning 

4. Data Visualization 

5. Data Mining 

6. Big Data 

7. Predictive Analytics 

8. Descriptive Analytics 

9. Prescriptive Analytics 

10. Data Engineering 

11. Data Science Applications 

12. Statistical Modeling 

13. Hypothesis Testing 

14. Regression Analysis 

15. Anomaly Detection

16. Time Series Analysis 

17. Cluster Analysis 

18. Association Rule Learning

19. Decision Trees 

20. Artificial Neural Networks