In this course, you will learn about the science and art of learning from data, and of measuring, controlling, and communicating uncertainty. This course provides a basic foundation in statistics with a major emphasis on summarizing, visualizing, and modeling real data using modern technology and computational tools. Topics include descriptive and inferential statistics, visualization, data collection and study design, and multiple regression. Overarching themes include statistical computing, reproducible research, data communication, and team-building skills.
This class will expose you to R — one of the most popular and in-demand statistical programming languages. Armed with the foundation of R skills covered in this course, you will learn tools and techniques to find how to visualize and analyze any sort of data-based question in the future, whether it be in statistics, data science, or applied research.
After taking this course, you will be able to:
• Find patterns in data with appropriate graphs and visualizations
• Tidy and wrangle data
• Build and interpret regression models with R
• Pose and test insightful hypotheses
• Accurately interpret results from basic inferential statistical analyses
• Understand the assumptions and limitations of statistical procedures
• Communicate the results of your analyses in accessible language
A full-year course in high school algebra (Algebra I) provides a sufficient level of mathematical background needed to take this course. The syllabus includes the majority of topics appearing on the AP Statistics exam. A background in programming is not required, as it will be covered extensively during each class session. This course recommends a laptop for course-related programming, games/simulations, etc. Please note that some devices (e.g., Chromebooks) do not allow software downloads onto a desktop and so will not accommodate the specific needs of this course. If you have questions about this requirement please reach out to [email protected]
Online sections of Pre-College courses are offered in one of the following modalities: Asynchronous, Mostly asynchronous, or Blended. Please review full information regarding the experience here.