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  1. Урок 1. 00:01:14
    Learn Statistics with Diogo Resende
  2. Урок 2. 00:02:50
    Course Outline
  3. Урок 3. 00:03:31
    Why Statistics Matter - The Challenger Space Shuttle Disaster
  4. Урок 4. 00:05:24
    Creating a Google Account
  5. Урок 5. 00:03:24
    Setting Up the Course Materials
  6. Урок 6. 00:01:54
    Game Plan for Python Essentials
  7. Урок 7. 00:05:48
    Print Function
  8. Урок 8. 00:10:28
    Python - Print Function
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    Input Function
  10. Урок 10. 00:08:09
    Python - Input Function
  11. Урок 11. 00:06:51
    CHALLENGE - Your Superhero Name
  12. Урок 12. 00:03:02
    Variable Types
  13. Урок 13. 00:06:27
    Python - Variable Types
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    Arithmetic Operators
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    Python - Arithmetic Operators
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    Comparison Operators
  17. Урок 17. 00:04:57
    Python - Comparison Operators
  18. Урок 18. 00:11:29
    CHALLENGE - Split Bill Calculator
  19. Урок 19. 00:06:22
    The if-else Condition
  20. Урок 20. 00:06:02
    Python - if-else Conditions
  21. Урок 21. 00:02:29
    EXERCISE - Can You Vote?
  22. Урок 22. 00:05:22
    EXERCISE - Grading Papers
  23. Урок 23. 00:11:55
    CHALLENGE - Berghain Club Bouncer
  24. Урок 24. 00:19:44
    CHALLENGE - Your Monthly Savings Plan
  25. Урок 25. 00:02:22
    Wrap Up - Python Essentials
  26. Урок 26. 00:03:08
    Game Plan for Intermediate Python for Statistics
  27. Урок 27. 00:02:27
    While Loop
  28. Урок 28. 00:06:45
    Python - While Loops
  29. Урок 29. 00:05:03
    EXERCISE - Countdown Times
  30. Урок 30. 00:07:01
    Python Lists
  31. Урок 31. 00:10:31
    Python - Lists
  32. Урок 32. 00:06:43
    EXERCISE - Monthly Expense Report
  33. Урок 33. 00:06:07
    EXERCISE - Fibonacci Sequence
  34. Урок 34. 00:04:36
    Randomization
  35. Урок 35. 00:05:25
    Python - Randomization
  36. Урок 36. 00:06:22
    EXERCISE - Movie Picker
  37. Урок 37. 00:09:01
    CHALLENGE - Read my Mind
  38. Урок 38. 00:04:03
    Dictionaries
  39. Урок 39. 00:06:31
    Python - Dictionaries
  40. Урок 40. 00:07:36
    EXERCISE - Magical Pet Sounds
  41. Урок 41. 00:16:20
    CHALLENGE - Budget Mastermind
  42. Урок 42. 00:04:42
    For Loops
  43. Урок 43. 00:04:19
    Python - For Loops
  44. Урок 44. 00:04:27
    EXERCISE - Sum of Numbers
  45. Урок 45. 00:07:59
    EXERCISE - Counting the Number of Characters
  46. Урок 46. 00:14:09
    CHALLENGE - Treasure Hunter
  47. Урок 47. 00:06:49
    Functions
  48. Урок 48. 00:06:19
    Python - Functions
  49. Урок 49. 00:02:21
    EXERCISE - Function That Adds Numbers
  50. Урок 50. 00:04:36
    EXERCISE - Function That Counts Vowels
  51. Урок 51. 00:06:35
    EXERCISE - Function That Transforms Fahrenheit to Celsius
  52. Урок 52. 00:24:41
    CHALLENGE - Recipe Converter
  53. Урок 53. 00:03:24
    Wrap Up - Python Intermediate Skills
  54. Урок 54. 00:05:52
    Project Presentation - Virtual Escape Game
  55. Урок 55. 00:08:16
    Python - Plan the Solution
  56. Урок 56. 00:08:48
    Python - Check User's Answer Function
  57. Урок 57. 00:18:12
    Python - Prepare Game
  58. Урок 58. 00:06:55
    Python - Solving with ChatGPT
  59. Урок 59. 00:01:51
    Game Plan for Descriptive Statistics
  60. Урок 60. 00:02:56
    Variable Types in Statistics
  61. Урок 61. 00:03:29
    Population vs. Sample
  62. Урок 62. 00:02:17
    CASE STUDY Briefing - Moneyball
  63. Урок 63. 00:05:52
    Python - Setting Up
  64. Урок 64. 00:03:14
    Measures of Central Tendency
  65. Урок 65. 00:03:39
    (Arithmetic) Mean
  66. Урок 66. 00:04:45
    Python - Mean
  67. Урок 67. 00:02:36
    EXERCISE - Python
  68. Урок 68. 00:02:17
    Median
  69. Урок 69. 00:01:52
    Python - Median
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    EXERCISE - Median
  71. Урок 71. 00:01:28
    Mode
  72. Урок 72. 00:02:35
    Python - Mode
  73. Урок 73. 00:02:37
    EXERCISE - Mode
  74. Урок 74. 00:04:57
    Standard Deviation and Variance
  75. Урок 75. 00:05:27
    Python - Standard Deviation and Variance
  76. Урок 76. 00:02:38
    EXERCISE - Standard Deviation and Variance
  77. Урок 77. 00:04:32
    Coefficient of Variation
  78. Урок 78. 00:03:26
    Python - Coefficient of Variation
  79. Урок 79. 00:01:04
    EXERCISE - Coefficient of Variation
  80. Урок 80. 00:04:15
    Covariance
  81. Урок 81. 00:03:48
    Python - Covariance
  82. Урок 82. 00:01:52
    EXERCISE - Covariance
  83. Урок 83. 00:06:55
    Correlation
  84. Урок 84. 00:05:37
    Python - Correlation
  85. Урок 85. 00:02:01
    EXERCISE - Correlation
  86. Урок 86. 00:04:09
    Normal Distribution
  87. Урок 87. 00:06:48
    Python - Normal Distribution
  88. Урок 88. 00:03:12
    EXERCISE - Normal Distribution
  89. Урок 89. 00:04:15
    CASE STUDY - Moneyball
  90. Урок 90. 00:01:56
    Wrap Up - Descriptive Statistics
  91. Урок 91. 00:01:05
    Game Plan for Confidence Intervals
  92. Урок 92. 00:01:30
    CASE STUDY Briefing - Dioguinis Pizza
  93. Урок 93. 00:02:18
    Standard Error of the Sample Mean
  94. Урок 94. 00:04:40
    Python - Libraries and Data
  95. Урок 95. 00:02:48
    Python - Standard Error of the Sample Mean
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    Z-Score and Standardization
  97. Урок 97. 00:09:58
    Python - Z-Score and Standardization
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    Confidence Level
  99. Урок 99. 00:10:31
    Python - Confidence Level
  100. Урок 100. 00:06:18
    Confidence Intervals for Large Samples
  101. Урок 101. 00:06:13
    Python - Confidence Interval for Large Samples
  102. Урок 102. 00:06:56
    EXERCISE - Confidence Interval Function with ChatGPT
  103. Урок 103. 00:02:36
    CASE STUDY - Guinness Beer and t-distribution
  104. Урок 104. 00:03:27
    Confidence Interval with Small Samples
  105. Урок 105. 00:07:14
    Degrees of Freedom
  106. Урок 106. 00:08:15
    Python - Confidence Interval with Small Samples
  107. Урок 107. 00:05:12
    EXERCISE - Confidence Interval Function with ChatGPT
  108. Урок 108. 00:04:28
    Confidence Intervals Wrap Up
  109. Урок 109. 00:02:41
    Project Presentation - Lights, Camera, Statistics
  110. Урок 110. 00:20:53
    Python - Data Preparation and Cleaning
  111. Урок 111. 00:16:56
    Python - Exploratory Data Analysis
  112. Урок 112. 00:11:58
    Python - Estimating Average Ratings
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    Python - Conclusions
  114. Урок 114. 00:02:57
    Exercise: Imposter Syndrome
  115. Урок 115. 00:03:08
    Game Plan for Hypothesis Testing
  116. Урок 116. 00:04:55
    What is Hypothesis Testing?
  117. Урок 117. 00:04:37
    P-Value
  118. Урок 118. 00:04:06
    Type I and Type II Errors
  119. Урок 119. 00:02:59
    CASE STUDY - Publication Bias in Statistics
  120. Урок 120. 00:06:51
    How to Test Your Hypothesis (Known Population Variance).
  121. Урок 121. 00:01:49
    CASE STUDY Briefing - Tesla Production
  122. Урок 122. 00:02:53
    Python - Setting Up and Libraries
  123. Урок 123. 00:12:01
    Python - How to Test Your Hypothesis (Known Population Variance)
  124. Урок 124. 00:05:23
    Python - Build a Function to Test Your Known Variance Hypothesis
  125. Урок 125. 00:02:55
    Hypothesis Testing with Unknown Population Variance
  126. Урок 126. 00:11:03
    Python - How to Test Your Hypothesis (Unknown Population Variance) - Part 1
  127. Урок 127. 00:06:39
    Python - How to Test Your Hypothesis (Unknown Population Variance) - Part 2
  128. Урок 128. 00:03:55
    Paired T-Test
  129. Урок 129. 00:10:40
    Python - Paired T-Test - Part 1
  130. Урок 130. 00:03:30
    Python - Paired T-Test - Part 2
  131. Урок 131. 00:05:31
    Two Sample T-Test
  132. Урок 132. 00:08:05
    Python - Levene's Test
  133. Урок 133. 00:03:45
    Python - Welch's T-Test
  134. Урок 134. 00:02:13
    Python - Two-Sample T-Test
  135. Урок 135. 00:04:42
    Exercise - Two-Sample Test Function
  136. Урок 136. 00:05:51
    One-Tailed Test vs. Two-Tailed Test
  137. Урок 137. 00:07:28
    Python - One-Tailed Test with Known Variance
  138. Урок 138. 00:05:40
    Python - One-Tailed Test with Unknown Variance
  139. Урок 139. 00:05:55
    Python - One-Tailed Paired T-Test
  140. Урок 140. 00:05:30
    Python - One-Tailed Two-Sample T-Test
  141. Урок 141. 00:03:09
    Chi-Square Test
  142. Урок 142. 00:11:00
    Python - Chi-Square Test
  143. Урок 143. 00:02:44
    Is Your Distribution Normal? - The Shapiro-Wilks Test
  144. Урок 144. 00:05:35
    Python - Shapiro-Wilks Test
  145. Урок 145. 00:02:44
    Hypothesis Testing Wrap Up
  146. Урок 146. 00:03:40
    Powerposing and P-Hacking
  147. Урок 147. 00:14:42
    Python Solutions - Data
  148. Урок 148. 00:02:44
    Capstone Project with ChatGPT - Yelp me!
  149. Урок 149. 00:11:20
    Python Solutions - Hypothesis 1
  150. Урок 150. 00:09:08
    Python Solutions - Hypothesis 2
  151. Урок 151. 00:08:42
    Python Solutions - Hypothesis 3
  152. Урок 152. 00:01:23
    Game Plan for Multilinear Regression
  153. Урок 153. 00:01:54
    CASE STUDY Briefing - Pricing Diamonds
  154. Урок 154. 00:05:13
    Linear Regression
  155. Урок 155. 00:04:21
    Python - Libraries and Data
  156. Урок 156. 00:04:58
    Python - Exploratory Data Analysis
  157. Урок 157. 00:03:10
    Python - Linear Regression
  158. Урок 158. 00:04:24
    Regression Statistics
  159. Урок 159. 00:02:30
    Python - Linear Regression Output
  160. Урок 160. 00:02:57
    Python - Plotting Regression Curve
  161. Урок 161. 00:04:01
    Dummy Variable (Trap)
  162. Урок 162. 00:06:53
    Python - Linear Regression with Dummy Variables
  163. Урок 163. 00:07:11
    EXERCISE - Create Function that Reads the Regression Coefficients with ChatGPT
  164. Урок 164. 00:04:02
    CASE STUDY - Linearity Bias - We Will All Be Obese! Wait What?
  165. Урок 165. 00:01:48
    Multilinear Regression
  166. Урок 166. 00:05:48
    Python - Categorical Variables
  167. Урок 167. 00:02:11
    Python - Multilinear Regression Preparation
  168. Урок 168. 00:03:28
    Under and Overfitting
  169. Урок 169. 00:02:35
    Training and Test Set
  170. Урок 170. 00:03:15
    Python - Training and Test Split
  171. Урок 171. 00:08:43
    Python - Multilinear Regression
  172. Урок 172. 00:06:08
    Assessing Regression Models
  173. Урок 173. 00:06:20
    Python - Assessing Regression Model
  174. Урок 174. 00:02:52
    CASE STUDY - Dangers of Regression Analysis
  175. Урок 175. 00:02:03
    Multilinear Regression Wrap Up
  176. Урок 176. 00:01:08
    Capstone Project - Understanding Sales Drivers
  177. Урок 177. 00:07:14
    Python - Solutions - Step 1
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    Python - Solutions - Steps 2-4
  179. Урок 179. 00:07:16
    Python - Solutions - Steps 5-6
  180. Урок 180. 00:01:40
    Game Plan for Logistic Regression
  181. Урок 181. 00:01:26
    CASE STUDY Briefing - Spam Emails
  182. Урок 182. 00:03:29
    Logistic Regression
  183. Урок 183. 00:03:32
    Python - Preparing Script and Loading Data
  184. Урок 184. 00:03:45
    Python - Summary Statistics
  185. Урок 185. 00:05:37
    Python - Histograms and Outlier Detection
  186. Урок 186. 00:03:27
    Python - Correlation Matrix
  187. Урок 187. 00:04:00
    Python - Logistic Regression Preparation
  188. Урок 188. 00:02:12
    How to Read Logistic Regression Coefficients
  189. Урок 189. 00:02:18
    Python - Logistic Regression
  190. Урок 190. 00:09:07
    Python - Build a Coefficient Function with ChatGPT
  191. Урок 191. 00:03:20
    Python - Predictions
  192. Урок 192. 00:06:25
    Confusion Matrix and Model Assessment
  193. Урок 193. 00:05:35
    Python - Confusion Matrix and Classification Report
  194. Урок 194. 00:05:31
    Python - Assessing Classification Models with ChatGPT
  195. Урок 195. 00:03:16
    Section Wrap Up - Logistic Regression
  196. Урок 196. 00:01:34
    Capstone Project - Surviving Titanic
  197. Урок 197. 00:08:13
    Python - Libraries and Data with ChatGPT
  198. Урок 198. 00:12:35
    Python - Removing Outliers and EDA with ChatGPT
  199. Урок 199. 00:23:29
    Python - Logistic Regression Model and Assessment with ChatGPT
  200. Урок 200. 00:02:15
    Game Plan for Cox Proportional Hazard Regression
  201. Урок 201. 00:07:48
    Introduction to Survival Analysis
  202. Урок 202. 00:01:48
    CASE STUDY - Briefing
  203. Урок 203. 00:05:10
    Python - Libraries and Data
  204. Урок 204. 00:04:36
    Kaplan-Meier Estimator
  205. Урок 205. 00:04:23
    Python - Kaplan Meier Estimator
  206. Урок 206. 00:02:47
    Python - Calculating for a Specific Event
  207. Урок 207. 00:03:52
    Python - Plotting Kaplan-Meier and Cumulated Curves
  208. Урок 208. 00:03:46
    Censoring
  209. Урок 209. 00:02:56
    Log Rank Test
  210. Урок 210. 00:05:51
    Python - Kaplan-Meier Estimator per Gender and Visualization
  211. Урок 211. 00:06:34
    Python - Log Rank Test
  212. Урок 212. 00:04:52
    Cox Proportional Hazard Regression
  213. Урок 213. 00:03:12
    Python - Prepare Data for CPH Model
  214. Урок 214. 00:09:37
    Python - Cox Proportional Hazard Regression
  215. Урок 215. 00:02:13
    Python - Visualize Results
  216. Урок 216. 00:05:19
    Assessing Cox Proportional Hazard Models
  217. Урок 217. 00:08:38
    Python - Assessing the CPH Model
  218. Урок 218. 00:03:39
    Python - Predicting Specific Instances
  219. Урок 219. 00:03:15
    Cox Proportional Hazard Regression Wrap Up
  220. Урок 220. 00:01:24
    Capstone Project - Will Your App Make it?
  221. Урок 221. 00:07:11
    Python - Libraries and Data
  222. Урок 222. 00:19:11
    Python - Data Cleaning
  223. Урок 223. 00:08:27
    Python - Dependent Variable
  224. Урок 224. 00:04:31
    Python - Kaplan-Meier Estimator
  225. Урок 225. 00:10:01
    Python - Cox Model
  226. Урок 226. 00:01:18
    Thank You!