Adam Brazier joined the Cornell Center for Advanced Computing in 2014 and is a member of the Consulting Group. He has been working in research at Cornell since 2005, first as a Research Associate in the Astronomy Department, and then as an Astronomy Programmer at the National Astronomy and Ionosphere Center and latterly Science Software Architect for the CCAT Telescope project. With a focus on the computational and data-intensive aspects of research at all stages of the research life cycle, Adam is a member of the international North American Nanohertz Observatory for Gravitational Waves (NANOGrav) and the PALFA pulsar survey collaboration.
Data drives many real-world endeavors, which means that storing and accessing the data is foundational to success. Relational databases are an industry-standard data storage mechanism for maintaining data integrity while allowing flexible data retrieval.
You will begin this course by examining the basic table structures that form a relational database. Using the relational database format, you will define connections between your data fields and determine how those can be expressed. You will then practice normalizing a relational database to ensure data integrity and reduce redundancy. As this course concludes, you will use a relational database system called OmniDB along with structured query language (SQL) to retrieve specific information from the database.
After creating an initial version of a chart, how do you make it better? In this course, we'll explore the process for creating great charts. First, you'll explore how best to plan and draft your chart. Then, you'll need to eliminate distractions in the chart to make your visualization clear. It's also important to emphasize the most critical data in your chart. We'll look at how our brains process visualizations, and how you can use this information to better design your chart. Lastly, we'll examine how to adjust a chart to target your audience and the iterative process you can use to improve it.
It is recommended to only take this course if you have completed Creating Data Visualizations with Tableau or have equivalent experience.
In this course, we will study how you can make a set of charts in Tableau that tell a story to help your audience understand and remember your message. We'll also talk about different approaches to handling technical or complicated content and techniques for getting feedback so that you can improve your presentation.
It is recommended to only take this course if you have completed Creating Data Visualizations with Tableau and Enhancing Data Visualizations with Tableau or have equivalent experience.