DBT (Data Build Tool) is an open-source data transformation tool that allows data engineers and analysts to transform and aggregate data in their data warehouses. It is designed to manage the data transformation process from source systems to a data warehouse, with a focus on modularity, maintainability, and scalability. The DBT tool course teaches students how to use DBT to transform data, load it into a data warehouse, and perform complex data operations in a scalable and efficient way. By taking a course in DBT, students can acquire the skills and knowledge necessary to transform and aggregate data in a scalable and efficient way. They can also learn how to automate data transformation processes and ensure data quality by testing and validating transformations.

MATLAB is a widely-used programming language that is widely used in the engineering, scientific, and financial communities. It is a high-level programming language that is easy to learn and has a wide range of applications. MATLAB (short for "matrix laboratory") is a programming language and development environment commonly used in engineering, scientific research, and data analysis. A course in MATLAB can be very useful for students who are interested in data analysis, numerical computing, and algorithm development. By taking a course in MATLAB, students can acquire the skills and knowledge necessary to use MATLAB effectively and efficiently. They can also learn how to apply MATLAB to solve real-world problems in various fields, such as engineering, science, finance, and more.