The Hands-On Workshop on Git and GitHub is a practical, one-day session designed to introduce students to the fundamentals of version control and collaboration in software development. Participants will learn how to: Set up and use Git for tracking changes in code. Work with GitHub to collaborate on projects, manage repositories, and contribute to open-source development. Perform essential tasks like branching, merging, resolving conflicts, and using pull requests. By the end of the workshop, students will have the skills to effectively manage projects, collaborate with peers, and contribute to team-based development workflows confidently.

Parent - Teacher meeting for 3rd semester students to update the department activities and academic progress about their children.

This program is designed to help third-semester students gain practical experience in data visualization using the Tableau tool, led by experienced fifth-semester students.

The 3-Day Workshop on Machine Learning for Data Science is designed for 5th-semester students to introduce key concepts and practical applications of machine learning. Conducted over three afternoons, the workshop will cover foundational ML techniques, tools, and hands-on exercises, enabling students to understand and apply ML algorithms to solve real-world problems in data science.

Forum inaguartion is doing for the year 2024-25 and also 3rd sem students are welcomed by 5th sem students for the Data Science department through freshers' party

The Peer-to-Peer Hands-On Workshop on Django is a one-day event designed to equip students with practical knowledge of web development using the Django framework. This interactive session, conducted by students for students, focuses on building dynamic, database-driven web applications. Participants will engage in hands-on exercises, including setting up Django, creating models, views, and templates, and deploying a basic web application. The workshop aims to foster collaborative learning, strengthen technical skills, and inspire students to explore web development projects independently.

The Parents-Teacher Meeting (PTM) aims to provide a platform for parents to engage with the faculty of the Data Science Department. This event will facilitate discussions on student progress, curriculum, and departmental activities, fostering a collaborative environment for student success.

Agenda:
Welcome Address:

Introduction by the Head of the Data Science Department
Overview of the department, its vision, and mission
Departmental Overview:

Presentation on the curriculum, course structure, and academic calendar
Introduction to faculty members and their areas of expertise
Student Performance:

Review of overall student performance and achievements
Discussion on assessment methods and grading criteria
Curricular and Extracurricular Activities:

Overview of recent projects, research, and publications
Information on workshops, seminars, and industry interactions
Interactive Session:

One-on-one interactions between parents and faculty members
Opportunity for parents to discuss their child's performance, strengths, and areas of improvement
Q&A Session:

Open floor for parents to ask questions and provide feedback
Addressing concerns and suggestions for enhancing the educational experience
Future Plans:

Discussion on upcoming events, new courses, and departmental initiatives
Insights into career prospects and internship opportunities for students
Closing Remarks:

Summary of the meeting
Expression of gratitude to parents for their participation and support
Additional Information:
Refreshments will be provided.
A feedback form will be distributed to gather parents' opinions and suggestions.

Khelutsav 2024, held from June 4th to June 9th, was an exciting and vibrant event focused on badminton and carrom, bringing together participants from all departments for a week of spirited competition and camaraderie. The badminton and carrom tournaments provided a platform for athletes and enthusiasts to showcase their skills and sportsmanship.

"Navigating the Frontier: Latest Trends and Technologies in Data Science and AI" is an insightful technical talk aimed at professionals, researchers, and enthusiasts eager to stay at the forefront of this dynamic field. The session explores cutting-edge advancements in machine learning, including state-of-the-art algorithms and deep learning models like transformers and neural networks. It also delves into the latest trends in big data processing frameworks, data storage, and retrieval techniques, highlighting innovative applications and real-world implementations. Attendees will gain a comprehensive understanding of the current landscape and future directions of data science and AI, equipping them with the knowledge to leverage these technologies effectively in their work.

The Data Science Department Forum will be inaugurated and technical talks will be conducted from the invited gues. Afternoon session culture program will be conducted for 3rd sem and 1st sem students of Data Science Department

Data Science Department organized a department forum logo design competition for students and will select best logo, forum name and best tagline among the registered students. Selected students will get prizes on the day of the forum inaguaration.