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 Science with SQL and Tableau
Overview and Courses
Proficiency in structured query language (SQL) is fundamental for anyone working with data. Used in organizations large and small, learning SQL will prepare you to quickly query raw data and transform it into meaningful visualizations using tools like Tableau to help you make business decisions.
This certificate program is designed to help you analyze data in a relational database and develop your understanding of the relationship between SQL and data visualizations. You will use SQL and fundamental database concepts to create a normalized database, manipulate the data within the database, and extract the data from the database, discovering how to convert business questions into SQL queries that extract answers from your data.
After developing your skills working with databases, you will take raw data and create robust data visualizations using Tableau. You’ll explore a wide variety of charts and learn how to select the best chart to convey the meaning in your data. This combination of being able to both work with and present data to key stakeholders will prepare you to bring value to any data-centric organization.
You will be most successful in this program if you have an understanding of basic statistical concepts.
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.
How It Works
Faculty Authors
Ben joined the Cornell Center for Advanced Computing in 2016 as a member of the Consulting Group. He previously spent fourteen years at Cornell as an image synthesis researcher in the Program of Computer Graphics. Ben also has fourteen years of industrial experience developing commercial-quality software. With Autodesk, he developed graphical user interfaces and architected data formats for use in several Geographic Information System (GIS) products. At Advion he wrote low-level and user interface software to control an innovative, compact mass spectrometer.
- Write SQL queries for a relational database
- Manipulate data in a relational database using SQL
- Create visualizations that transform raw data into actionable information that drives decisions
- Improve data visualizations to ensure they resonate with the target audience
- Tell a compelling story with your data to gain stakeholder buy-in

Download a Brochure
Not ready to enroll but want to learn more? Download the certificate brochure to review program details.
- Data Science with SQL and Tableau Certificate from Cornell University Center for Advanced Computing
- 50 Professional Development Hours (5 CEUs)
Who Should Enroll
- Data scientists
- Business analysts
- Developers
- Professionals who work with databases or data warehouses
- Marketing analysts
- Career starters

{Anytime, anywhere.}