Important Date(s)

Registration starts: 30 May 2023

Last date of Registration: 15 June 2023

Revised date of Registration: 27 June 2023

Event Date: 28 June to 04 July 2023

Overview:

The International Workshop on Data Science and Statistical Modeling with Python and R Programming aims to bring together researchers, professionals, and enthusiasts from the fields of data science, statistics, and programming to explore and share knowledge on the latest advancements in data analysis, modeling, and visualization using Python and R programming languages. The workshop is designed to provide a platform for sharing knowledge, discussing advancements, and exploring the latest techniques and tools related to Python and R programming languages in the context of data science. The workshop typically features a combination of keynote speeches, technical sessions, hands-on tutorials, and interactive discussions. Participants have the opportunity to learn from renowned experts in the field and gain practical insights into applying Python and R for data analysis, statistical modeling, and machine learning. The participants will be provided with all the presented contents and recordings of each session will be available in their account for their future use. A certificate of participation will be awarded after successful participation.

Themes:

Data Science Foundations: Fundamentals of data science and statistical modeling, Exploratory data analysis and data preprocessing techniques, Feature selection and dimensionality reduction, Data visualization and storytelling,

Machine Learning and Predictive Modeling: Supervised, unsupervised, and semi-supervised learning algorithms, Ensemble methods and model stacking, Deep learning and neural networks, Transfer learning and domain adaptation

Statistical Modeling and Inference: Linear and logistic regression models, Bayesian statistics and probabilistic modeling, Time series analysis and forecasting, Experimental design and hypothesis testing

Big Data Analytics and Scalability: Distributed computing frameworks (e.g., Apache Spark), Handling large datasets and parallel processing, Scalable machine learning algorithms, Real-time data processing and streaming analytics

Data Wrangling and Integration: Data manipulation and transformation techniques, Data cleaning and imputation methods, Working with structured and unstructured data, Data integration and interoperability

Advanced Topics in Data Science: Natural language processing and text mining, Image and video analysis, Graph analytics and social network analysis, Anomaly detection and outlier analysis

Case Studies and Real-world Applications: Healthcare and medical informatics, Finance and investment analytics, Marketing and customer analytics, Environmental and climate data analysis

Best Practices and Tools: Reproducible research and version control, Performance optimization and parallel computing, Model interpretability and explainability, Comparative analysis of Python and R for different tasks

Resource Person(s)

Dr. Ashok Kumar Pathak: Department of Mathematics and Statistics, Central University of Punjab, Bathinda

Dr. Harmanpreet Singh Kapoor: Department of Mathematics and Statistics, Central University of Punjab, Bathinda, INDIA

Dr. Ashima Singh: Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology (Deemed to be University), Patiala, Punjab

Dr. Mehar Chand: Department of Mathematics, Baba Farid College, Bathinda, India

Dr. Pooja: Subject Matter Expert, Skillup Technologies, Noida, UP, INDIA

Dr. Ajay Kumar: Department of Computer Science and Engineering, Chandigarh University, Chandigarh

Mr. Petros Abebe: Department of Information Systems, School of Computing and Informatics, Mizan-Tepi University, Ethiopia

Mr. Prabaker Gantela: Department of  Information Technology, School of Computing and Informatics, Mizan-Tepi University, Ethiopia

Who can participate?

The targeted audience includes research scholars, National and International faculty members from Universities/ Institutes, Engineers, people from academia, and  Under Graduate & Post Graduate Students

Help Desk

Central University of Punjab, Bathinda

Sandeep Kumar +91-86839 66814

Nihal Khaitan +91-84860 86045

Jatin Bansal +91-9041340179

Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, INDIA

Ms. Shivani +91-9877752195

Ms. Divya Yadav +91-7983834849

Mr. Awdhesh Kumar Bind +91-8081851045

Baba Farid College, Bathinda, INDIA

Ms. Akshita Ahuja +91 9613114000

Ms. Ishika +91-78143 66685

Mizan-Tepi University, ETHIOPIA

Mr. Birhanu Garide:  +251910185606

Mr. Wegayehu Enbeyle: +251937341707

Mr . Getahun Tadesse: +251924001130

MathTech Thinking Foundation, INDIA

Mr. Parmjeet Singh: +91-8708916743

MTTF Executive: +91-8968294003

Jointly Organized by

Department of Mathematics and Statistics, Central University of Punjab, Bathinda, INDIA

Department of Mathematics, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, INDIA

Department of Mathematics, Baba Farid College, Bathinda, INDIA

Mizan-Tepi University, ETHIOPIA

MathTech Thinking Foundation (MTTF), Fazilka, INDIA