Data Visualization – Module l

US$65,00

In this course the student will learn and exercise the different graphic patterns that are used according to each type of analysis or type of data that is required to be represented. The best practices that are currently used when facing certain types of visualizations, abuses or omissions that must be avoided, color patterns, use of complex images, and very useful tools for the daily work of visualizations of all kinds will also be exposed.

Category:

Introduction to data visualization.
Definition and types.
What is Tableau?
Description of the different products.
Registration as a user and installation of applications.
Parts that form the interface.
Sheets and Dashboard.
Managing Tableau Help and Resources.
What is a database?
Search for data sources.
Information download.
How to organize your data for visualization?
Good practices and data quality.
Unions.
Relationships between data, query management and filters.
Metadata.