Exploring Data

Catalog description

This course introduces students to data analysis, and machine learning, serving as an engaging first step into the world of data-driven discovery. The course begins with Python programming, including coverage of Python libraries such as Pandas and Matplotlib. The course then explores key ideas in statistics, experimental design, and bias in data collection, emphasizing how to interpret and evaluate real-world data. The course concludes with a survey of topics in machine learning.