This is an upper level undergraduate course focusing on fundamental data science, data and error analysis, data-model comparison tests and metrics, and visualization techniques. The instructor will teach using examples from Earth, atmosphere, space, and planetary sciences using Python for analysis. While no prior experience with Python is required, basic familiarity with programming is highly recommended. By the completion of this course, students will be able to: read and write data sets using Python, perform large data set analysis, hypothesis testing and model goodness-of-fit quantification, and produce publication-ready scientific data visualization.