The Department of Mathematics organized a Faculty Development Program (FDP) titled “Statistical Process Design using R & Python: Transforming Data to Decisions through Hands-on Learning” from 8^th to 12^th May 2025. The resource persons for the FDP were Dr. Sai Shyam, Assistant Professor and D. Bhanu Prakash, Research Scholar at Sri Sathya Sai Institute of Higher Learning, Puttaparthi, Andhra Pradesh. Dr. Sai Shyam has over a decade of teaching and research experience in Computer Science. His areas of expertise include Digital Watermarking, Cyber Security, Deep Learning, and Image Processing. Dr. Sai Shyam has contributed to multiple reputed conferences and journals, including publications on malware detection, video watermarking, and robust watermarking techniques against adversarial attacks. D. Bhanu Prakash is a Research Fellow and Ph.D. scholar in Mathematics at Sri Sathya Sai Institute of Higher Learning, working on a DAE-NBHM funded project. He holds certifications in Data Analysis with R and Stochastic Processes, and is proficient in Python, R.

Faculty members from the neighbouring institutions and from the departments of Mathematics, CSE, ISE, CS-IoT, CS-AIML AIML, ECE, ME, MTR, AE, MBA and MCA of MITE participated in the workshop. Practical proficiency in data analysis and visualization through interactive, hands-on sessions using R was covered. This reinforced core statistical concepts such as descriptive statistics, probability distributions, and inferential statistics. Concepts such as Markov Chains, state classifications (recurrent, transient, absorbing), and periodicity were discussed. Exploration of Vectors, matrices, eigenvalues, and eigenvectors, and their significance in machine learning and statistical modelling were elaborated. The Principal Component Analysis (PCA) and Factor Analysis in R were implemented for data reduction and pattern recognition. The application of statistical methods was demonstrated, helping participants move from theoretical knowledge to practical execution.