## Call for Papers

**International Journal of Statistics and Data Science**

**Volume 1, Issue 1**

The aim of International Journal of Statistics and Data Science (IJSDS) is to provide a platform for national and international researchers to publish their articles related to data science and statistics. We consider research work mainly related to the development of new statistical and data science tools & techniques along with their application in real life situations of all sciences. The articles related to the advancement in mathematics & computing for statistics and data science are also welcome. The scope of the journal includes but not limited to the following areas:

- Data Visualization Techniques
- Data Mining
- Probability Theory
- Bayesian Statistics
- Statistical Modeling
- Multivariate Analysis
- Statistical and Machine Learning
- Neural Networks and Deep Learning
- Advanced Algorithms and Software Concepts
- Data Structures
- Database and Data Management
- Discrete Mathematics for Data Science
- Linear Algebra for Data Science
- Numerical Analysis for Data Science
- Computational Mathematics
- Data Engineering and Data Warehousing
- Big Data Analytics
- Operations-Related Data Analytics
- Market-Related Data Analytics
- Sector-Specific Data Analytics (Healthcare, Finance, Insurance, etc.)
- Cloud and Distributed Computing
- Database Management and Architecture
- R and Python Packages for Statistics and Data Science

International Journal of Statistics and Data Science is an open access journal. Abstracts and full texts of all articles published in the International Journal of Statistics and Data Science can be read online without any form of restriction.