Prerequisites:

Basic computer science principles and skills

Database theory basics
Courses:

Advanced Data Analysis&Big Data for Business Intelligence
Data Visualization is the study of the visual representation of data. Visualization allows
taking advantage of strengths of visual functions of our brain and avoiding the
disadvantages of the cognitive function. When working with Big Data visualization
becomes an active area of research.
Course is focused on understanding the role of visualization, the use of information
visualization for analysis and understanding of complex data, business decision making
and business intelligence, visualization methods and tools. Course content includes
theory, data visualization methodology, taxonomy of data visualization methods,
conceiving and reasoning visualization design options, constructing and evaluating
design solutions.
In the lab part of the course the students can try different visualization software tools.
The project work includes practice in collecting and cleaning data, conducting data
analysis and prototyping visualization using appropriate tool.
Topics include:

Human visual system processes and perceives images

Fundamental strategies of analytical design

Design principles

Perception

Color

Statistical graphs

Maps

Trees and networks

High-dimensional data

Data visualization tools

Visualization approaches for different data types

Business, scientific, research, and financial presentations complexity and clarity

Interface design

Use of PowerPoint, video, overheads, and handouts

Statistical data: tables, graphics, and semi-graphics

Multi-media, internet, and websites

Credibility of presentations

Animation and scientific visualizations

Good design practices for visualization
1. Edward R. Tufte The Visual Display of Quantitative Information. Graphics Press,
2001.
2. Rick Smolan, Jennifer Erwitt. The Human Face of Big Data. Against All Odds
Productions, First Edition, 2012.
3. Andy Kirk. Data Visualization: a successful design process. Packt Publishing,
2006.
4. Sandra Rendgen, Julius Wiedemann Information Graphics, Taschen, 2011-12.
5. Eileen and Stephen McDaniel. The Accidental Analyst: Show Your Data Who's
Boss. CreateSpace Independent Publishing Platform, 2012.