A course by Stanford University on Coursera. This comprehensive course delves into essential statistical topics, encompassing Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions, the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, and Multiple Comparisons. By the course's conclusion, students will possess a robust comprehension of these fundamental concepts and their real-world applications within the field of statistics.
Key topics covered in the course:
- Descriptive Statistics
- Sampling and Randomized Controlled Experiments
- Probability
- Sampling Distributions and the Central Limit Theorem
- Regression
- Common Tests of Significance
- Resampling
- Multiple Comparisons
By mastering these topics, students will develop a solid foundation in statistics and gain the necessary skills to apply statistical methods effectively in various practical scenarios.
