EVENT TITLE: Skill Development Program on Data Analytics in Tableau DATE: 25-01-2025

TIME: 11:00 A.M to 12:30P.M

VENUE: Room No: 102

CONVENERS

Dr. A. Savitha Mary, Assistant Professor Dr. C. Kayelvizhi, Assistant Professor

NO. OF PARTICIPANTS: 80

RESOURCE PERSON DETAILS

Dr. V. Sumathy M.Sc., M.Phil., PGDAS, SLET, Ph.D.

Assistant Professor, Department of Statistics, Loyola College, Chennai- 600 034.

Welcome Address

The event began with a warm welcome by Dr.T. Harikrishnan, Head of the Department (I/C) of Mathematics. He greeted the gathering with positive words and provided an insightful introduction to the significance of the session. His brief overview set the tone for the event, emphasizing the importance of Data Analysis using Tableau.

Introduction of the Chief Guest:

Dr. A. Savitha Mary, Assistant Professor, Department of Mathematics, took the stage to introduce the chief guest, Dr. V. Sumathy, Assistant Professor, Department of Statistics at Loyola College, Chennai. She highlighted Dr.V. Sumathy’s distinguished career, which spans over 22 years of teaching experience, and his remarkable contributions to the field of Statistic and data analysis.

Keynote Address:

The invited speaker, Dr. V. Sumathy, delivered an enriching keynote address on the topic ―Data Analytics in Tableau.‖ Throughout the session, Dr. Sumathy captivated the audience with his deep understanding of how Data Sets, specifically in statistics, are incorporated in the Tableau to get a Visualized representation. Here are some key points from his address:

What is Tableau: She emphasized that Tableau is a powerful data visualization and business intelligence (BI) tool that helps users transform raw data into interactive and insightful visualizations. It enables users to analyze data efficiently, make data-driven decisions, and communicate insights clearly.

Why do we need Tableau: The speaker also highlighted about the need of Tableau as follows.

1.  Data Visualization Made Easy

  • Tableau allows users to create interactive charts, graphs, dashboards, and reports without needing advanced coding skills.
  • It helps in visual storytelling, making complex datasets easy to

2.  Handles Large Volumes of Data

  • Tableau can process and analyze millions of data points efficiently, making it suitable for large enterprises and businesses dealing with big data.

3.  Drag-and-Drop Functionality

  • Unlike traditional data analysis tools that require coding, Tableau offers a drag-and-drop interface, making it easy for non-technical users to create reports and dashboards.

4.  Real-Time Data Analysis

  • Tableau can connect to live data sources, enabling real-time updates and dynamic dashboards for timely decision-making.

5.  Supports Multiple Data Sources

  • Tableau can integrate with various databases, spreadsheets, cloud services, and even Big Data platforms like Hadoop, SQL, Excel, Google Sheets, and

6.  Advanced Analytics & AI-Powered Insights

  • Tableau provides built-in statistical functions, trend analysis, and
  • AI-powered features like “Explain Data” help uncover hidden patterns in datasets automatically.

7.  Collaboration & Sharing

  • Users can publish, share, and collaborate on dashboards easily through Tableau Server, Tableau Online, or Tableau Public.
  • It enhances team collaboration by allowing stakeholders to access and interact with data insights.

8.  Industry-Wide Applications

Tableau is widely used across industries:

  • Healthcare – Patient data analysis, disease trend
  • Finance – Fraud detection, risk
  • Retail – Customer behavior analysis, sales performance
  • Education – Student performance monitoring, research
  • Government & Public Sector – Crime analysis, policy impact

Conclusion:

Dr. V. Sumathy concluded that Tableau is an essential tool for anyone dealing with data—whether you are a business professional, researcher, analyst, or student. Its ability to simplify complex data, enable real-time insights, and enhance decision-making makes it a must-have for modern data analytics.

Vote of Thanks:

The session concluded with a vote of thanks proposed by Dr. C. Kayelvizhi, Assistant Professor in the Department of Mathematics. She expressed his gratitude to Dr.V. Sumathy for sharing her expertise and insights. Dr.C. Kayelvizhi also thanked the participants for their active involvement and the faculty members for their support to organize the event successfully.

Conclusion:

The invited talk on “Skill Development Program on Data Analytics in Tableau” was a highly informative and engaging session for the students of BCA. The talk not only enhanced their understanding of the Tableau but also inspired them to explore the practical applications of Mathematical and Statistical concepts in the Tableau.