Learning Path: Big Data Visualization

Course Overview

Skills and Knowledge:
- Principles of data visualization
- Best practices in data visualization
- Identifying data types and matching them with appropriate display formats
- Building a variety of data visualizations using multiple tools and techniques
- Choosing the best display types for datasets
- Applying best practice principles to selected charts, maps, or network graphs
- Understanding network graphs
- Utilizing Gephi and Sigma.js to explore and visualize network data
- Working with a variety of SQL-based tools and languages including Oracle, MySQL, and SQLServer
- Understanding visualization principles through extensive reading and practice
- Displaying and promoting visualizations to a wider audience.

Professional Growth:
This Learning Path provides an opportunity for professional growth by teaching the fundamentals of data visualization and how to apply them to Big Data. It will help professionals gain a better understanding of the principles of data visualization, best practices, and how to create effective visualizations. It will also provide an opportunity to learn how to use multiple tools and techniques to create visualizations, as well as how to identify data types and match them with the appropriate display formats. Finally, it will provide an opportunity to learn how to use network graphs to display relationship data.

Further Education:
This course is suitable for preparing for further education. It provides an overview of the basic principles of data visualization and teaches best practices in data visualization. It also focuses on building a variety of data visualizations using multiple tools and techniques. By the end of the course, learners will have a strong understanding of how to effectively visualize data. This knowledge and skills can be valuable for further education in fields such as data analysis, data science, and big data.