Python Programming II: Exploratory Statistics
Get an introduction to core concepts in probability and statistics that will be useful throughout your data science career. This course also introduces students to important Python tools used by data scientists.
What you can learn.
- Understand probability and statistics through computer experimentation, as opposed to learning
through the axiomatic, deductive process
- Distill results from experiments, building intuition into key concepts
- Become familiar with Python tools used by data scientists
- Determine when to terminate a process and draw a conclusion
- Grasp the philosophy of conceptual understanding through concrete example
- Understand how to apply the conceptual material to regression modeling
About this course: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.
Programming: The student is expected to have basic programming skills that one would obtain from experience with a high-level language. Knowledge of Python would be helpful but is not required. Students without Python experience are welcome and must be prepared to learn the basics on their own. Mathematics: Precalculus is the only prerequisite. Students with a stronger background will have the opportunity to investigate topics in more depth and will find some material more accessible.
Summer 2023 Schedule
Fall 2023 Schedule
Learn how we can help your organization meet its professional development goals and corporate training needs.
Donate to UCLA Extension
Support our many efforts to reach communities in need.