About This Course
This course will begin with an overview of data types and descriptive Statistics. There will be extensive coverage of probability topics along with an introduction to discrete and continuous probability distributions. The course ends with a discussion of the central limit theorem and coverage of estimation using confidence intervals and hypothesis testing. This course is equivalent to most college level Statistics I courses.
Learning Objectives
Learn the probability and basic techniques of data analysis and inference.
Gain a deeper understanding of the underlying concepts.
Requirements
- Basic Arithmetic and Algebra Skills
Target Audience
- Students that are taking or would like to take an introductory course in Statistics in college
- AP courses in high school will find this course useful.
Curriculum
4 Lessons8h 29m
Descriptive Statistics
Relative Frequency
Histograms
Probability
Your Instructors
Oliver Porter
Ph.D.
Over the course of his career, he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations.
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