Practical Data Science and Machine Learning for Engineers
With the growing importance of data and data processing across all industries, it is critical for modern engineers to be nimble data scientists. For engineers who are not professional software developers, it can be tricky to break into the ecosystem of modern tooling that is required to efficiently process and learn from data.
The focus of this course is to introduce the tools, theory, and methods for doing applied data science and machine learning (DS/ML). Students will learn how to use and interact with open source DS/ML tools, they will learn the theory behind canonical ML algorithms, and they will learn practical methods and workflows for learning from data. This class is project based and will be taught by guiding the students through a series of practical data science problems.
Partner with Georgia Tech to hire a veteran. As a partner, the Georgia Tech program will train military members in areas that directly translate to their job duties.
Georgia Tech Professional Education allows working professionals and industry partners to access the expertise of a world-renowned technological research university. As an academic division of the Georgia Institute of Technology, we embrace the Georgia Tech values of integrity, excellence, impact, and innovation. These values drive every aspect of our programs.