DATA500

We will begin from the basics of the Python programming language and learn the key tools and libraries within Python needed to solve industry problems in data science. The course will include data manipulation and preprocessing using pandas and NumPy, cover machine learning models in scikit-learn, and conclude with building full preprocessing-and-forecasting pipelines. At the completion of this course, students will be able to write basic code and functions as well as visualize data, implement data science workflows, and fit machine learning models using Python. We will also explore differences between Python and R as tools for data science to help students select the correct tool for a given industry problem.Cannot be taken for credit after CS 161.

School of Computing and Information Sciences

Portland, Salem

All Years

Fall Semester