A guest lecture on "Big Data Analytics" was organized by the Data Science Club in collaboration with the Department of Computer Science & Engineering - Data Science (CSD) at KG Reddy College of Engineering & Technology on May 15, 2025. The one-day event was held for III-CSE-Data Science students and saw the participation of 63 students. The objective was to provide           students with        knowledge             of            machine                learning, recommendation systems, and mobile and social media analytics The guest lecturer, Dr. Mathurya, an Assistant Professor from Vardhaman College of Engineering, Hyderabad, is a specialist in Data Analytics and Machine Learning. The session began with an introduction of the guest by the session coordinator, Mrs. K. Gomathi,                               Assistant                Professor,              Computer              Science  and Engineering-Data Science. Dr. Mathurya initiated the lecture with an introduction to Big Data Analytics. The topics discussed included an introduction to Data Analytics, Machine Learning, and social media analytics. She also explained the categories of supervised, unsupervised, and reinforcement learning, as well as recommendation systems and collaborative filtering. The lecture provided a detailed explanation of mobile analytics, social media analytics, and BigR.

Impact on the students:

The guest lecture had a significant impact on the students, as highlighted by the hands-on session that followed the theoretical talk. Students gained practical experience by implementing different types of supervised and unsupervised machine learning algorithms using R/Python. This hands- on experience allowed them to build a machine learning model from scratch using a given dataset. They also learned to design models using supervised, unsupervised, and reinforcement learning algorithms. The students were able to develop applications for customer and mobile analytics , as well as applications for social media analytics. Dr. Mathurya clarified their doubts while they were developing their models and applications. One of the notable impacts was the introduction to RStudio and its features, as well as the use of GitHub