Gain a comprehensive understanding of statistical concepts and methods in this 32-hour course covering data analysis, probability theory, sampling distributions, confidence intervals, hypothesis testing, and linear regression. Explore practical applications of statistics through hands-on exercises and real-world examples, developing essential skills for interpreting and presenting data effectively. Conclude with a final exam to demonstrate mastery of key statistical principles and earn a certificate of completion.
Overview
Syllabus
- Course Introduction
- Unit 1: Statistics and Data
- Unit 2: Elements of Probability and Random Variables
- Unit 3: Sampling Distributions
- Unit 4: Estimation with Confidence Intervals
- Unit 5: Hypothesis Test
- Unit 6: Linear Regression
- Study Guide
- Course Feedback Survey
- Certificate Final Exam
- Saylor Direct Credit
