Information Visualization

Information Visualization, available at $19.99, has an average rating of 4.75, with 16 lectures, based on 4 reviews, and has 1135 subscribers.

You will learn about concepts of information visualization understanding of information visualization process application of information visualization design of information visualization methods graphical design of large dataset graphical design in data science graphical design in information visualization information visualization for marketing information visualization for business intelligence information visualization for decision making This course is ideal for individuals who are students are welcome from any domain or interest such as digital media, data science, data mining, data visualization, information visualization, economics, business schools. or You may enjoy this coupon: E0536F13709A7DD78D67 It is particularly useful for students are welcome from any domain or interest such as digital media, data science, data mining, data visualization, information visualization, economics, business schools. or You may enjoy this coupon: E0536F13709A7DD78D67.

Enroll now: Information Visualization

Summary

Title: Information Visualization

Price: $19.99

Average Rating: 4.75

Number of Lectures: 16

Number of Published Lectures: 11

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 11

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

concepts of information visualization

understanding of information visualization process

application of information visualization

design of information visualization methods

graphical design of large dataset

graphical design in data science

graphical design in information visualization

information visualization for marketing

information visualization for business intelligence

information visualization for decision making

Who Should Attend

students are welcome from any domain or interest such as digital media, data science, data mining, data visualization, information visualization, economics, business schools.

You may enjoy this coupon: E0536F13709A7DD78D67

Target Audiences

students are welcome from any domain or interest such as digital media, data science, data mining, data visualization, information visualization, economics, business schools.

You may enjoy this coupon: E0536F13709A7DD78D67

Data is growing tremendously on daily basis and visual representation is crucial to understand this growing data. The perceptive power of the human eye makes it easy for humans to understand complex phenomena. A visual representation should be easy to understand and easy to communicate with people. Visualizations help you explore hidden information in big data and are more reliable than statistical insights. Visualization helps people plan more effectively and interactively.

Due to huge scope of visualization in data science and related fields, this course is designed for students with various backgrounds including computer science, engineering, mathematics, economics, and business schools.

Our objective is to cover all main topics in this course such as motivation and purpose of information visualization, information visualization by examples, data representation, data description, data types, dataset types, attribute types, charts, visual encoding, information visualization with color, visualization process, human perception, analysis by example, interaction, visualization pipeline and techniques, design visual user interfaces, validation in information visualization, visualizing geographical data, visualizing networks and trees.

This course helps students to able to learn the concepts of information visualization, understanding of information visualization process, application of information visualization, design of information visualization methods, and so on.

To understand sensitivity of data, effective visualization methods are essential. Therefore, I would like to urge you all students and practitioners to take this course in order to develop more effective and intuitive visualization methods.

Course Curriculum

Chapter 1: Lectures

Lecture 1: Introduction

Lecture 2: Visualization by Examples

Lecture 3: Information Visualization Process

Lecture 4: Data in Information Visualization

Lecture 5: Representation

Lecture 6: Fundamental Charts

Lecture 7: Visual Encoding 1

Lecture 8: Visual Encoding 2 and Validation

Lecture 9: Visualizing Data with Color

Lecture 10: Interaction and Visualization Guidelines

Lecture 11: Visualizing Geographical Data and Visualizing Networks and Trees

Instructors

Raja Mehmood
Professor, Computer Science

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4 stars: 1 votes

5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!