This is an introductory statistics course which will introduce probability distributions, hypothesis testing and other statistical methods.
Prerequisites: An Introductory Course
Python Difficulty: Beginner
Python Libraries Used: matplotlib, numpy, scipy.stats, sympy
Math Difficulty: Introductory
Math Concepts: Measures of Central Tendency, Distributions, Correlation, Regression, Probability, Counting Principles, Confidence Intervals, Hypothesis Testing, Chi-squared Test
Curriculum
- 12 Sections
- 54 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Graphing Data4
- Mean and Standard Deviation5
- Distributions6
- Correlation and Linear Regression7
- Probability3
- Counting Principles3
- Binomial Distribution3
- Confidence Interval7
- Proportion Confidence Interval3
- Hypothesis Testing5
- Comparing Two Means5
- Chi-squared Test3

