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[ FreeCourseWeb com ] Statistics Slam Dunk, Video Edition
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001. Chapter 1. Getting started.mp4
002. Chapter 1. Why R.mp4
003. Chapter 1. How this book works.mp4
004. Chapter 1. Summary.mp4
005. Chapter 2. Exploring data.mp4
006. Chapter 2. Importing data.mp4
007. Chapter 2. Wrangling data.mp4
008. Chapter 2. Variable breakdown.mp4
009. Chapter 2. Exploratory data analysis.mp4
010. Chapter 2. Writing data.mp4
011. Chapter 2. Summary.mp4
012. Chapter 3. Segmentation analysis.mp4
013. Chapter 3. Loading packages.mp4
014. Chapter 3. Importing and viewing data.mp4
015. Chapter 3. Creating another derived variable.mp4
016. Chapter 3. Visualizing means and medians.mp4
017. Chapter 3. Preliminary conclusions.mp4
018. Chapter 3. Sankey diagram.mp4
019. Chapter 3. Expected value analysis.mp4
020. Chapter 3. Hierarchical clustering.mp4
021. Chapter 3. Summary.mp4
022. Chapter 4. Constrained optimization.mp4
023. Chapter 4. Loading packages.mp4
024. Chapter 4. Importing data.mp4
025. Chapter 4. Knowing the data.mp4
026. Chapter 4. Visualizing the data.mp4
027. Chapter 4. Constrained optimization setup.mp4
028. Chapter 4. Constrained optimization construction.mp4
029. Chapter 4. Results.mp4
030. Chapter 4. Summary.mp4
031. Chapter 5. Regression models.mp4
032. Chapter 5. Importing data.mp4
033. Chapter 5. Knowing the data.mp4
034. Chapter 5. Identifying outliers.mp4
035. Chapter 5. Checking for normality.mp4
036. Chapter 5. Visualizing and testing correlations.mp4
037. Chapter 5. Multiple linear regression.mp4
038. Chapter 5. Regression tree.mp4
039. Chapter 5. Summary.mp4
040. Chapter 6. More wrangling and visualizing data.mp4
041. Chapter 6. Importing data.mp4
042. Chapter 6. Wrangling data.mp4
043. Chapter 6. Analysis.mp4
044. Chapter 6. Summary.mp4
045. Chapter 7. T-testing and effect size testing.mp4
046. Chapter 7. Importing data.mp4
047. Chapter 7. Wrangling data.mp4
048. Chapter 7. Analysis on 2018-19 data.mp4
049. Chapter 7. Analysis on 2019-20 data.mp4
050. Chapter 7. Summary.mp4
051. Chapter 8. Optimal stopping.mp4
052. Chapter 8. Importing images.mp4
053. Chapter 8. Importing and viewing data.mp4
054. Chapter 8. Exploring and wrangling data.mp4
055. Chapter 8. Analysis.mp4
056. Chapter 8. Summary.mp4
057. Chapter 9. Chi-square testing and more effect size testing.mp4
058. Chapter 9. Importing data.mp4
059. Chapter 9. Wrangling data.mp4
060. Chapter 9. Computing permutations.mp4
061. Chapter 9. Visualizing results.mp4
062. Chapter 9. Statistical test of significance.mp4
063. Chapter 9. Effect size testing.mp4
064. Chapter 9. Summary.mp4
065. Chapter 10. Doing more with ggplot2.mp4
066. Chapter 10. Importing and viewing data.mp4
067. Chapter 10. Salaries and salary cap analysis.mp4
068. Chapter 10. Analysis.mp4
069. Chapter 10. Summary.mp4
070. Chapter 11. K-means clustering.mp4
071. Chapter 11. Importing data.mp4
072. Chapter 11. A primer on standard deviations and z-scores.mp4
073. Chapter 11. Analysis.mp4
074. Chapter 11. K-means clustering.mp4
075. Chapter 11. Summary.mp4
076. Chapter 12. Computing and plotting inequality.mp4
077. Chapter 12. Loading packages.mp4
078. Chapter 12. Importing and viewing data.mp4
079. Chapter 12. Wrangling data.mp4
080. Chapter 12. Gini coefficients.mp4
081. Chapter 12. Lorenz curves.mp4
082. Chapter 12. Salary inequality and championships.mp4
083. Chapter 12. Salary inequality and wins and losses.mp4
084. Chapter 12. Gini coefficient bands versus winning percentage.mp4
085. Chapter 12. Summary.mp4
086. Chapter 13. More with Gini coefficients and Lorenz curves.mp4
087. Chapter 13. Importing and viewing data.mp4
088. Chapter 13. Wrangling data.mp4
089. Chapter 13. Gini coefficients.mp4
090. Chapter 13. Lorenz curves.mp4
091. Chapter 13. For loops.mp4
092. Chapter 13. User-defined functions.mp4
093. Chapter 13. Win share inequality and championships.mp4
094. Chapter 13. Win share inequality and wins and losses.mp4
095. Chapter 13. Gini coefficient bands versus winning percentage.mp4
096. Chapter 13. Summary.mp4
097. Chapter 14. Intermediate and advanced modeling.mp4
098. Chapter 14. Importing and wrangling data.mp4
099. Chapter 14. Exploring data.mp4
100. Chapter 14. Correlations.mp4
101. Chapter 14. Analysis of variance models.mp4
102. Chapter 14. Logistic regressions.mp4
103. Chapter 14. Paired data before and after.mp4
104. Chapter 14. Summary.mp4
105. Chapter 15. The Lindy effect.mp4
106. Chapter 15. Importing and viewing data.mp4
107. Chapter 15. Visualizing data.mp4
108. Chapter 15. Pareto charts.mp4
109. Chapter 15. Summary.mp4
110. Chapter 16. Randomness versus causality.mp4
111. Chapter 16. Importing and wrangling data.mp4
112. Chapter 16. Rule of succession and the hot hand.mp4
113. Chapter 16. Player-level analysis.mp4
114. Chapter 16. League-wide analysis.mp4
115. Chapter 16. Summary.mp4
116. Chapter 17. Collective intelligence.mp4
117. Chapter 17. Importing data.mp4
118. Chapter 17. Wrangling data.mp4
119. Chapter 17. Automated exploratory data analysis.mp4
120. Chapter 17. Results.mp4
121. Chapter 17. Summary.mp4
122. Chapter 18. Statistical dispersion methods.mp4
123. Chapter 18. Importing data.mp4
124. Chapter 18. Exploring and wrangling data.mp4
125. Chapter 18. Measures of statistical dispersion and intra-season parity.mp4
126. Chapter 18. Churn and inter-season parity.mp4
127. Chapter 18. Summary.mp4
128. Chapter 19. Data standardization.mp4
129. Chapter 19. Importing and viewing data.mp4
130. Chapter 19. Wrangling data.mp4
131. Chapter 19. Standardizing data.mp4
132. Chapter 19. Summary.mp4
133. Chapter 20. Finishing up.mp4
134. Chapter 20. Significance testing.mp4
135. Chapter 20. Effect size testing.mp4
136. Chapter 20. Modeling.mp4
137. Chapter 20. Operations research.mp4
138. Chapter 20. Probability.mp4
139. Chapter 20. Statistical dispersion.mp4
140. Chapter 20. Standardization.mp4
141. Chapter 20. Summary statistics and visualization.mp4
Bonus Resources.txt
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