Pre-Enrollment

10th September 2026

Final Paper Submission

15th September 2026

Registration Deadline

25th September`2026

Conference Date

10th Oct - 11th Oct 2026

Call for Papers

The International Conference on Advanced Data Analytics and Statistical Methods invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Data Science, the conference aims to bridge theoretical advancements with real-world applications.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Statistical Methods For Big Data
02
Advanced Analytics In Business Intelligence
03
Bayesian Statistics In Data Analysis
04
Time Series Analysis Techniques
05
Data Mining And Statistical Learning
06
Statistical Modeling For Predictive Analytics
07
Machine Learning In Statistical Methods
08
Data Visualization In Statistical Analysis
09
Statistical Challenges In Big Data
10
Multivariate Analysis Techniques
11
Sampling Methods For Large Datasets
12
Statistical Inference In Data Science
13
Data Quality Assessment Methodologies
14
Statistical Approaches To Data Privacy
15
Applications Of Statistics In Healthcare
16
Statistical Methods For Social Sciences
17
Statistical Analysis In Marketing Research
18
Big Data And Statistical Computing
19
Statistical Education In Data Analytics
20
Innovations In Statistical Software Tools
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review