This document provides information about a data visualization course including its mission, vision, core values, objectives, outcomes, and references. The mission is to provide holistic development and contribute to society. The vision is excellence and service. The core values are faith in God, moral uprightness, love of fellow beings, social responsibility, and pursuit of excellence. The course objectives are to understand data visualization, introduce key techniques and theory, and solve problems using tools like Tableau and Python. Upon completion, students will be able to understand, apply, analyze, evaluate, and construct effective visualization models using various techniques. References include books, recommended texts, and web resources.

1. MISSION
CHRIST is a nurturing ground for an individual’s
holistic development to make effective contribution to
the society in a dynamic environment
VISION
Excellence and Service
CORE VALUES
Faith in God | Moral Uprightness
Love of Fellow Beings
Social Responsibility | Pursuit of Excellence
DATA VISUALIZATION – MCS341B
Dr. Ramesh Chandra Poonia
Associate Professor
Department of Computer Science
Email: rameshchandra.poonia@christuniversity.in

2. Excellence and Service
CHRIST
Deemed to be University
Agenda
● Course Plan
● Getting Started (with some definitions)
● Course Overview with example

3. Excellence and Service
CHRIST
Deemed to be University
● Course Plan

4. Excellence and Service
CHRIST
Deemed to be University
Course Objectives
• To understand the visual representation of data.
• To introduce key techniques and theory used in visualization,
including data models, graphical perception and techniques for
visual encoding and interaction.
• Solving various visualization problems using tools like
Tableau/Python.

5. Excellence and Service
CHRIST
Deemed to be University
Course Outcomes
At the end of the course, students will be able to
● CO1: Understand the visual representation of data
● CO2: Apply the visual mapping and reference model
● CO3: Analyse the one, two and multi-dimensional data for the
data visualization process
● CO4: Evaluate the visualization of groups, trees, graphs,
clusters, networks and software
● CO5: Construct the effective model for data visualization by
using various techniques

6. Excellence and Service
CHRIST
Deemed to be University
References
Exercises : In Python & its libraries/Tableau

7. Excellence and Service
CHRIST
Deemed to be University
References
Essential References
1. Ward, Grinstein Keim, "Interactive Data Visualization:
Foundation, Techniques, and Applications". Natick: A K Peters
Ltd.
2. E. Tufte, "The Visual Display of Quantitative Information",
Graphics Press.
Recommended References
1. Dirken Jos, "Expert Data Visualization", Packt Publishing Ltd.
2. Stephanie Evergreen, "Effective Data Visualization: The right
chart for the right data", SAGE publications.
3. Claus. O Wilke, "Fundamentals of data visualization: A primer
on making informative and compelling figures", O'Reilly.
Web Resources:
1. www.tableau.com
2. https://infogram.com

8. Excellence and Service
CHRIST
Deemed to be University
Thank You!