GEETHANJALI INSTITUTE OF SCIENCE AND TECHNOLOGY
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 Report on Workshop: Data Analysis Using Python

 Report on Workshop: Data Analysis Using Python

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 Report on Workshop: Data Analysis Using Python

Workshop on “Data Analysis using Python” was organized under Department of Computer Science and Engineering at Geethanjali Institute of Science and Technology from 09-09-2025 to  13-09-2025. The resource person for this workshop was Ms. M. Ruthumma, Trainer & Developer at Aylin Technologies Private Limited, New Delhi. Around 63 students of II B.Tech (CSE) actively participated in the workshop.

Introduction
A workshop on Data Analysis Using Python was conducted to equip participants with essential skills in data analytics, focusing on both theoretical concepts and practical applications. The workshop aimed to provide a structured roadmap for mastering data analysis techniques using Python, a versatile and widely-used programming language.

Details of the Workshop

  • Title: Data Analysis Using Python
  • Duration: 5 Days
  • Mode: Offline

Objectives

  1. To introduce participants to the fundamentals of Python programming.
  2. To explore libraries such as NumPyPandasMatplotlib, and Seabornfor data manipulation and visualization.
  3. To provide hands-on experience with real-world datasets.
  4. To demonstrate the application of Python in solving data-driven problems.

Workshop Highlights

  • Day 1: Introduction to Python and its relevance in data analysis.
  • Day 2: Data manipulation using Pandasand NumPy.
  • Day 3: Data visualization techniques with Matplotliband Seaborn.
  • Day 4: Exploratory Data Analysis (EDA) on real-world datasets.
  • Day 5: Case studies and project presentations by participants.

Outcomes

  1. Participants gained a solid foundation in Python programming for data analysis.
  2. Enhanced understanding of data manipulation and visualization techniques.
  3. Practical experience in handling and analyzing datasets.
  4. Improved problem-solving skills through hands-on projects.

The workshop received overwhelmingly positive feedback from participants, who appreciated the interactive sessions and practical approach. It successfully bridged the gap between theoretical knowledge and practical application, empowering attendees to pursue further learning and career opportunities in data analytics.

This workshop was a stepping stone for participants to delve deeper into the field of data science and machine learning, fostering a community of skilled data enthusiasts.

Coordinator:

Mr B. Rama Murthi, Assistant Professor, CSE