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Berkeley Global
This course provides a hands-on introduction to the practice of data science using the Python programming language. Python has become a popular language for data science, in part because of the many useful libraries available in it. During this course, you complete the process of a typical data science project, including: defining project goals; collecting, preparing and managing data; building models; evaluating models and results; presenting results using effective data visualization techniques; and deploying models to a production environment. To complete these projects, you use publicly available real-world datasets provided by the UCI Network Data Repository.
Prerequisites:
Students interested in taking this course should have the following knowledge, skills, and abilities:
- Experience programming in Python.
- Basic knowledge of statistics and calculus as covered in a first-year undergraduate course. There will be some coverage of basic statistical and calculus techniques as part of covering core elements of machine learning.
- Personal laptop for running assignments.
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Fall enrollment opens on June 20!