Visualização e Análise de Dados

Knowledge

• What is Visual Analytics (VA).

• The role of interaction in VA.

• Data Visualization’s role in Exploratory Data Analysis (EDA) and the design of machine learning models.

• The concept of Visual Variable.

• VA techniques for multivariate data, spatial data and time dependent data.

• The main general components of VA systems.

• Methodologies for comparison and evaluation of VA techniques and systems.

Application

• Choose the VA techniques most appropriate to a data set and objectives.

• Use a VA system to explore and view one or more datasets.

• Design and implement a ADV solution for a data class and for a set of exploration objectives.

Soft-Skills

• Understand the multidisciplinary nature of this area and understand its relationship with other areas of knowledge and engineering.

• Explore the experimental nature of VA