Python Programming II: Exploratory Statistics

As probability and statistics are fundamental to machine learning algorithms, practitioners in data science must be familiar with basic statistical concepts. This course introduces practitioners to material from probability and statistics that will be useful throughout their career. There are four areas where this course differs from a standard probability and statistics course. First, as opposed to learning through the axiomatic, deductive process, students learn through computer experimentation where they distill results from experiments, building intuition into key concepts. Second, students become familiar with Python tools used by data scientists. Third, the course introduces fundamental concepts, but the emphasis is on material that is of greatest value to practitioners and gives practical guidance for issues that the practitioner confronts. Finally, the course ends by applying the conceptual material to regression modeling.