Example Curriculum
Introduction
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Descriptive Statistics
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- Game Plan for Descriptive Statistics (1:50)
- Variable Types in Statistics (2:55)
- QUIZ - Variable Types
- QUIZ - Variable Types - Explanations
- Population vs. Sample (3:28)
- CASE STUDY Briefing - Moneyball (2:16)
- Python - Setting Up (5:51)
- Measures of Central Tendency (3:13)
- (Arithmetic) Mean (3:38)
- Python - Mean (4:44)
- EXERCISE - Mean (2:35)
- Median (2:16)
- Python - Median (1:51)
- EXERCISE - Median (1:08)
- Mode (1:27)
- Python - Mode (2:34)
- EXERCISE - Mode (2:36)
- Standard Deviation and Variance (4:56)
- Python - Standard Deviation and Variance (5:26)
- EXERCISE - Standard Deviation and Variance (2:37)
- Coefficient of Variation (4:31)
- EXERCISE - Coefficient of Variation (1:03)
- Python - Coefficient of Variation (3:25)
- Covariance (4:14)
- Python - Covariance (3:47)
- EXERCISE - Covariance (1:51)
- Correlation (6:54)
- Python - Correlation (5:36)
- EXERCISE - Correlation (2:00)
- Normal Distribution (4:08)
- Python - Normal Distribution (6:47)
- EXERCISE - Normal Distribution (3:11)
- PRACTICE TEST: Descriptive Statistics
- PRACTICE TEST: Descriptive Statistics - Explanations
- CASE STUDY - Moneyball (4:14)
- Wrap Up - Descriptive Statistics (1:55)
- Implement a New Life System
Confidence Intervals
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- Game Plan for Confidence Intervals (1:04)
- CASE STUDY Briefing - Dioguinis Pizza (1:29)
- Standard Error of the Sample Mean (2:17)
- Python - Libraries and Data (4:39)
- Python - Standard Error of the Sample Mean (2:47)
- Z-Score and Standardization (3:12)
- Python - Z-Score and Standardization (9:57)
- Confidence Level (3:48)
- Python - Confidence Level (10:30)
- Confidence Intervals for Large Samples (6:17)
- Python - Confidence Interval for Large Samples (6:12)
- EXERCISE - Confidence Interval Function with ChatGPT (6:55)
- CASE STUDY - Guinness Beer and t-distribution (2:35)
- Degrees of Freedom (7:13)
- Confidence Interval with Small Samples (3:26)
- Python - Confidence Interval with Small Samples (8:14)
- EXERCISE - Confidence Interval Function with ChatGPT (5:11)
- PRACTICE TEST: Confidence Intervals
- PRACTICE TEST - Confidence Intervals - Explanations
- Confidence Intervals Wrap Up (4:27)
Capstone Project - Lights, Camera, Statistics!
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Hypothesis Testing
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- Game Plan for Hypothesis Testing (3:07)
- What is Hypothesis Testing? (4:54)
- QUIZ - Hypothesis Testing
- QUIZ - Hypothesis Testing - Explanations
- P-Value (4:36)
- QUIZ - P-value
- QUIZ - P-value - Explanations
- Type I and Type II Errors (4:05)
- QUIZ - Type I and Type II Errors
- QUIZ - Type I and Type II Errors - Explanations
- CASE STUDY - Publication Bias in Statistics (2:58)
- How to Test Your Hypothesis (Known Population Variance). (6:50)
- CASE STUDY Briefing - Tesla Production (1:48)
- Python - Setting Up and Libraries (2:52)
- Python - How to Test Your Hypothesis (Known Population Variance) (12:00)
- Python - Build a Function to Test Your Known Variance Hypothesis (5:22)
- Hypothesis Testing with Unknown Population Variance (2:54)
- Python - How to Test Your Hypothesis (Unknown Population Variance) - Part 1 (11:02)
- Python - How to Test Your Hypothesis (Unknown Population Variance) - Part 2 (6:38)
- Paired T-Test (3:54)
- Python - Paired T-Test - Part 1 (10:39)
- Python - Paired T-Test - Part 2 (3:30)
- Two Sample T-Test (5:30)
- Python - Levene's Test (8:04)
- Python - Welch's T-Test (3:44)
- Python - Two-Sample T-Test (2:12)
- Exercise - Two-Sample Test Function (4:41)
- One-Tailed Test vs. Two-Tailed Test (5:50)
- Python - One-Tailed Test with Known Variance (7:27)
- Python - One-Tailed Test with Unknown Variance (5:39)
- Python - One-Tailed Paired T-Test (5:54)
- Python - One-Tailed Two-Sample T-Test (5:29)
- Chi-Square Test (8:54)
- Python - Chi-Square Test (10:18)
- Is Your Distribution Normal? - The Shapiro-Wilks Test (2:43)
- Python - Shapiro-Wilks Test (5:34)
- PRACTICE TEST - Hypothesis Testing
- PRACTICE TEST - Hypothesis Testing - Explanations
- Powerposing and P-Hacking (3:39)
- Hypothesis Testing Wrap Up (2:43)
Capstone Project - ChatGPT Data Analysis
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Advanced Hypothesis Testing
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- Game Plan for Advanced Hypothesis Testing (4:51)
- Python - Setup (4:07)
- Mann-Whitney U Test (6:24)
- Python - Box plot for Normality (3:32)
- Python - Shapiro Wilks Test (3:32)
- D'Agostino and Pearson Test (5:00)
- Python - D'Agostino and Pearson Test (2:59)
- Python - Mann-Whitney U Test (3:53)
- ANOVA (4:37)
- Python - ANOVA (8:38)
- Python - D'Agostino and Pearson Test (2:06)
- Kruskal-Wallis Test (3:31)
- Python - Kruskal-Wallis Test (3:14)
- Spearman Correlation (4:34)
- Python - Spearman Correlation (5:36)
- Wilcoxon Signed-Rank Test (4:06)
- Python - Wilcoxon Signed-Rank Test (8:07)
- Key Learnings and Outcomes - Advanced Hypothesis Testing (2:32)
Where To Go From Here?
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