Example Curriculum
Introduction
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Getting Started
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Part 1 - Python for Statistics and Data Analysis
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Statistics with Python - The Essentials
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- Game Plan for Python Essentials (1:53)
- Print Function (5:47)
- Python - Print Function (10:27)
- Input Function (4:19)
- Python - Input Function (8:08)
- CHALLENGE - Your Superhero Name (6:50)
- Variable Types (3:01)
- Python - Variable Types (6:26)
- Arithmetic Operators (6:03)
- Python - Arithmetic Operators (6:47)
- Comparison Operators (3:40)
- Python - Comparison Operators (4:56)
- CHALLENGE - Split Bill Calculator (11:28)
- The if-else Condition (6:21)
- Python - if-else Conditions (6:01)
- EXERCISE - Can You Vote? (2:28)
- EXERCISE - Grading Papers (5:21)
- CHALLENGE - Berghain Club Bouncer (11:54)
- CHALLENGE - Your Monthly Savings Plan (19:43)
- Wrap Up - Python Essentials (2:21)
- Let's Have Some Fun (+ Free Resources)
Statistics with Python - Intermediate
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- Game Plan for Intermediate Python for Statistics (3:07)
- While Loop (2:26)
- Python - While Loops (6:44)
- EXERCISE - Countdown Times (5:02)
- Python Lists (7:00)
- Python - Lists (10:30)
- EXERCISE - Monthly Expense Report (6:42)
- EXERCISE - Fibonacci Sequence (6:06)
- Randomization (4:35)
- Python - Randomization (5:24)
- EXERCISE - Movie Picker (6:21)
- CHALLENGE - Read my Mind (9:00)
- Dictionaries (4:02)
- Python - Dictionaries (6:30)
- EXERCISE - Magical Pet Sounds (7:35)
- CHALLENGE - Budget Mastermind (16:19)
- For Loops (4:41)
- Python - For Loops (4:18)
- EXERCISE - Sum of Numbers (4:26)
- EXERCISE - Counting the Number of Characters (7:58)
- CHALLENGE - Treasure Hunter (14:08)
- Functions (6:48)
- Python - Functions (6:18)
- EXERCISE - Function That Adds Numbers (2:20)
- EXERCISE - Function That Counts Vowels (4:35)
- EXERCISE - Function That Transforms Fahrenheit to Celsius (6:34)
- CHALLENGE - Recipe Converter (24:40)
- Wrap Up - Python Intermediate Skills (3:23)
- Unlimited Updates
Capstone Project #1 - Virtual Escape Room with Python
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Part 2 - Inferential Statistics
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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 - Python (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)
- Python - Coefficient of Variation (3:25)
- EXERCISE - Coefficient of Variation (1:03)
- 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)
- Confidence Interval with Small Samples (3:26)
- Degrees of Freedom (7:13)
- 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 #2 - 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
- Hypothesis Testing Wrap Up (2:43)
- Powerposing and P-Hacking (3:39)
Capstone Project #3 - 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)
Part 3 - Regression Analysis
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Multilinear Regression
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- Game Plan for Multilinear Regression (1:22)
- CASE STUDY Briefing - Pricing Diamonds (1:53)
- Linear Regression (5:12)
- Python - Libraries and Data (2:27)
- Python - Exploratory Data Analysis (3:18)
- Python - Linear Regression (2:16)
- Regression Statistics (4:23)
- Python - Plotting Regression Curve (7:07)
- Dummy Variable (Trap) (4:00)
- Python - Linear Regression with Dummy Variables (7:15)
- EXERCISE: Create Function that Reads the Regression Coefficients (9:35)
- CASE STUDY - Linearity Bias - We Will All Be Obese! Wait What? (4:01)
- Multilinear Regression (1:47)
- Python - Categorical Variables (5:39)
- Under and Overfitting (3:27)
- Training and Test Set (2:34)
- Python - Multilinear Regression (3:44)
- Assessing Regression Models (6:07)
- Python - Assessing Regression Model (3:47)
- PRACTICE TEST - Multilinear Regression
- PRACTICE TEST - Multilinear Regression - Explanations
- CASE STUDY - Dangers of Regression Analysis (2:51)
- Multilinear Regression Wrap Up (2:02)
Capstone Project #4 - Multilinear Regression
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Logistic Regression
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- Game Plan for Logistic Regression (1:39)
- CASE STUDY Briefing - Spam Emails (1:25)
- Logistic Regression (3:28)
- Python - Preparing Script and Loading Data (3:31)
- Python - Summary Statistics (3:44)
- Python - Histograms and Outlier Detection (5:36)
- Python - Correlation Matrix (3:26)
- Python - Logistic Regression Preparation (3:59)
- How to Read Logistic Regression Coefficients (2:11)
- Python - Logistic Regression (2:17)
- Python - Build a Coefficient Function with ChatGPT (9:06)
- Python - Predictions (3:19)
- Confusion Matrix and Model Assessment (6:24)
- Python - Confusion Matrix and Classification Report (5:34)
- Python - Assessing Classification Models with ChatGPT (5:30)
- PRACTICE TEST - Logistic Regression
- PRACTICE TEST - Logistic Regression - Explanations
- Section Wrap Up - Logistic Regression (3:15)
Capstone Project #5 - Surviving Titanic - Logistic Regression with ChatGPT
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Cox Proportional Hazard Regression
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- Game Plan for Cox Proportional Hazard Regression (2:14)
- Introduction to Survival Analysis (7:47)
- CASE STUDY - Briefing (1:47)
- Python - Libraries and Data (5:09)
- Kaplan-Meier Estimator (4:35)
- Python - Kaplan Meier Estimator (4:22)
- Python - Calculating for a Specific Event (2:46)
- Python - Plotting Kaplan-Meier and Cumulated Curves (3:51)
- Censoring (3:45)
- Log Rank Test (2:55)
- Python - Kaplan-Meier Estimator per Gender and Visualization (5:50)
- Python - Log Rank Test (6:33)
- Cox Proportional Hazard Regression (4:51)
- Python - Prepare Data for CPH Model (3:11)
- Python - Cox Proportional Hazard Regression (9:36)
- Python - Visualize Results (2:12)
- Assessing Cox Proportional Hazard Models (5:18)
- Python - Assessing the CPH Model (8:37)
- Python - Predicting Specific Instances (3:38)
- PRACTICE TEST - Cox Regression
- PRACTICE TEST - Cox Regression - Explanations
- Cox Proportional Hazard Regression Wrap Up (3:14)
Capstone Project #6 - Surviving the App-pocalypse - Cox Regression with ChatGPT
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Logarithmic Regression
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- Python - Logarithmic Regression Setup (4:05)
- Game Plan for Logarithmic Regression (4:19)
- Python - Data Prep and Visualization (6:11)
- Python - Normal Linear Regression (4:42)
- Python - Plotting Normal Linear Regression (3:59)
- Python - Linear - Log Regression (5:55)
- Python - Log - Linear Regression (5:42)
- Python - Log - Binary (6:36)
- Python - Log-Log Regression (3:23)
Where To Go From Here?
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