AP Statistics
AP Statistics is an introductory college-level statistics course designed to introduce students to fundamental concepts and tools for collecting, analyzing, and drawing conclusions from data. Students will develop an understanding of statistics through methods such as technology, survey research, problem-solving, and writing. They will explore concepts such as variability and distribution, patterns and uncertainty, as well as data-based prediction, decision-making, and inference.
AP Statistics course covers all the content outlined in the AP course and exam description, while also incorporating external information from fields such as bioinformatics, quantitative finance, sociology, and more. This course aims to teach students how to apply statistics to solve real-world problems in various disciplines.
This course is accredited with the California A-G course approval, aligning with the curriculum standards of the University of California system, and is widely recognized by the majority of American universities.
Duration: 30 Weeks * Every SUNDAY
Time: 1:00-3:00pm (PST)
Grades: suitable for 8-12 graders
Students applying for this course must have completed a pre-calculus course or its equivalent at any accredited school.
About the Instructor
Mr. RJ Yang graduated from Dartmouth College with dual honors degrees in Computer Engineering and Economics. He previously worked as an Investment Logic Engineer at Bridgewater Associates. He is currently a member of the UChicago Booth Scholars Program at the University of Chicago Booth School of Business, specializing in algorithms and mathematical finance.
Mr. RJ has been a part of the Prestige STEM Academy team for over 10 years, specializing in helping students develop algorithmic thinking. He currently oversees the Technology and Quantum Science department in our school. RJ personally teaches most of the courses at Prestige STEM Academy and develops course outlines for other mathematics and science courses at the school.
Mr. RJ Yang is a highly respected educator with a wealth of professional knowledge and practical experience. His academic background and career experience bring profound subject expertise and professional insights to his teaching. He not only imparts subject knowledge to students but also encourages them to think critically about challenges in algorithms and mathematical finance, nurturing their logical thinking and problem-solving abilities.
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