Event: Add-on certification course on “Python for Data Science”  

Organised by – Department of Computer Applications, Tula’s Institute, Dehradun, Uttarakhand.

Date: 13.04.26- 23.04.2026

Venue: Lab-8, G-Block Tula’s Institute

Event Head Coordinator: Ms. Apoorva Talwar

Event Co-Coordinator: Ms. Divya Negi

Faculty Coordinator: Mohd. Mursleen & Ms. Divya Negi

Summary: The Department of Computer Applications at Tula’s Institute, Dehradun, Uttarakhand, successfully organized an Add-on Certification Course on “Python for Data Science” from 13th April 2026 to 23rd April 2026 at Lab-8, G-Block.

The event commenced with an inaugural session graced by distinguished dignitaries including Dr. Shailendra Kumar Tiwary (Director), Dr. Nishant Saxena (Additional Director), Dr. Priya Matta (Head, Department of Computer Applications), Mohd. Mursleen (Assistant Professor, CA), Ms. Divya Negi (Assistant Professor, CA) and Mr. Anoop Verma (Trainer RCPL).

The training sessions were designed to provide a comprehensive understanding of Python programming, focusing on its role in data analysis, data manipulation, and visualization. Students were introduced to key concepts such as data handling, use of libraries, and basic analytical techniques used in real-world data science applications.

The course followed a hands-on, workshop-based approach, allowing participants to actively engage in coding exercises and practical implementations. This interactive learning environment helped students strengthen their problem-solving abilities and gain confidence in applying Python to data-driven tasks.

Throughout the program, students demonstrated enthusiastic participation and a keen interest in learning advanced concepts. The sessions emphasized practical exposure and encouraged learners to explore real-world datasets, enhancing their analytical thinking and technical proficiency.

By the end of the certification course, participants had developed a solid foundation in Python for data science, contributing significantly to their academic growth and preparing them for future opportunities in the field of data analytics and data science.