FreeCourseWeb com Statistics Slam Dunk Video Edition | A96397A18BDB28581890704348F4D7B193B7CC69

FreeCourseWeb com Statistics Slam Dunk Video Edition

Name	[ FreeCourseWeb.com ] Statistics Slam Dunk, Video Edition	DOWNLOAD Copy Link
Total Size	2.9 GB
Total Files	143
Last Seen	2024-11-08 00:41
Hash	A96397A18BDB28581890704348F4D7B193B7CC69

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001. Chapter 1. Getting started.mp4	20.4 MB
002. Chapter 1. Why R.mp4	32.2 MB
003. Chapter 1. How this book works.mp4	26.2 MB
004. Chapter 1. Summary.mp4	6.0 MB
005. Chapter 2. Exploring data.mp4	18.9 MB
006. Chapter 2. Importing data.mp4	6.5 MB
007. Chapter 2. Wrangling data.mp4	30.9 MB
008. Chapter 2. Variable breakdown.mp4	22.1 MB
009. Chapter 2. Exploratory data analysis.mp4	115.7 MB
010. Chapter 2. Writing data.mp4	1.8 MB
011. Chapter 2. Summary.mp4	7.8 MB
012. Chapter 3. Segmentation analysis.mp4	16.1 MB
013. Chapter 3. Loading packages.mp4	4.8 MB
014. Chapter 3. Importing and viewing data.mp4	4.8 MB
015. Chapter 3. Creating another derived variable.mp4	9.0 MB
016. Chapter 3. Visualizing means and medians.mp4	47.0 MB
017. Chapter 3. Preliminary conclusions.mp4	9.9 MB
018. Chapter 3. Sankey diagram.mp4	34.0 MB
019. Chapter 3. Expected value analysis.mp4	26.2 MB
020. Chapter 3. Hierarchical clustering.mp4	34.7 MB
021. Chapter 3. Summary.mp4	8.4 MB
022. Chapter 4. Constrained optimization.mp4	14.6 MB
023. Chapter 4. Loading packages.mp4	6.0 MB
024. Chapter 4. Importing data.mp4	2.8 MB
025. Chapter 4. Knowing the data.mp4	9.3 MB
026. Chapter 4. Visualizing the data.mp4	36.9 MB
027. Chapter 4. Constrained optimization setup.mp4	13.8 MB
028. Chapter 4. Constrained optimization construction.mp4	10.2 MB
029. Chapter 4. Results.mp4	11.8 MB
030. Chapter 4. Summary.mp4	7.8 MB
031. Chapter 5. Regression models.mp4	19.0 MB
032. Chapter 5. Importing data.mp4	2.3 MB
033. Chapter 5. Knowing the data.mp4	14.4 MB
034. Chapter 5. Identifying outliers.mp4	28.7 MB
035. Chapter 5. Checking for normality.mp4	18.7 MB
036. Chapter 5. Visualizing and testing correlations.mp4	14.8 MB
037. Chapter 5. Multiple linear regression.mp4	70.8 MB
038. Chapter 5. Regression tree.mp4	17.8 MB
039. Chapter 5. Summary.mp4	11.4 MB
040. Chapter 6. More wrangling and visualizing data.mp4	7.3 MB
041. Chapter 6. Importing data.mp4	3.9 MB
042. Chapter 6. Wrangling data.mp4	26.7 MB
043. Chapter 6. Analysis.mp4	65.6 MB
044. Chapter 6. Summary.mp4	5.9 MB
045. Chapter 7. T-testing and effect size testing.mp4	13.4 MB
046. Chapter 7. Importing data.mp4	873.6 KB
047. Chapter 7. Wrangling data.mp4	10.1 MB
048. Chapter 7. Analysis on 2018-19 data.mp4	63.4 MB
049. Chapter 7. Analysis on 2019-20 data.mp4	28.5 MB
050. Chapter 7. Summary.mp4	9.7 MB
051. Chapter 8. Optimal stopping.mp4	10.1 MB
052. Chapter 8. Importing images.mp4	3.6 MB
053. Chapter 8. Importing and viewing data.mp4	5.7 MB
054. Chapter 8. Exploring and wrangling data.mp4	28.2 MB
055. Chapter 8. Analysis.mp4	78.5 MB
056. Chapter 8. Summary.mp4	10.2 MB
057. Chapter 9. Chi-square testing and more effect size testing.mp4	19.6 MB
058. Chapter 9. Importing data.mp4	2.5 MB
059. Chapter 9. Wrangling data.mp4	14.2 MB
060. Chapter 9. Computing permutations.mp4	12.3 MB
061. Chapter 9. Visualizing results.mp4	23.5 MB
062. Chapter 9. Statistical test of significance.mp4	23.2 MB
063. Chapter 9. Effect size testing.mp4	5.0 MB
064. Chapter 9. Summary.mp4	6.4 MB
065. Chapter 10. Doing more with ggplot2.mp4	8.8 MB
066. Chapter 10. Importing and viewing data.mp4	12.6 MB
067. Chapter 10. Salaries and salary cap analysis.mp4	24.2 MB
068. Chapter 10. Analysis.mp4	97.9 MB
069. Chapter 10. Summary.mp4	12.2 MB
070. Chapter 11. K-means clustering.mp4	10.9 MB
071. Chapter 11. Importing data.mp4	6.6 MB
072. Chapter 11. A primer on standard deviations and z-scores.mp4	15.1 MB
073. Chapter 11. Analysis.mp4	49.5 MB
074. Chapter 11. K-means clustering.mp4	62.5 MB
075. Chapter 11. Summary.mp4	8.4 MB
076. Chapter 12. Computing and plotting inequality.mp4	18.4 MB
077. Chapter 12. Loading packages.mp4	2.2 MB
078. Chapter 12. Importing and viewing data.mp4	15.8 MB
079. Chapter 12. Wrangling data.mp4	24.1 MB
080. Chapter 12. Gini coefficients.mp4	14.4 MB
081. Chapter 12. Lorenz curves.mp4	15.2 MB
082. Chapter 12. Salary inequality and championships.mp4	39.4 MB
083. Chapter 12. Salary inequality and wins and losses.mp4	14.7 MB
084. Chapter 12. Gini coefficient bands versus winning percentage.mp4	9.6 MB
085. Chapter 12. Summary.mp4	9.1 MB
086. Chapter 13. More with Gini coefficients and Lorenz curves.mp4	15.0 MB
087. Chapter 13. Importing and viewing data.mp4	2.9 MB
088. Chapter 13. Wrangling data.mp4	20.0 MB
089. Chapter 13. Gini coefficients.mp4	15.9 MB
090. Chapter 13. Lorenz curves.mp4	17.4 MB
091. Chapter 13. For loops.mp4	22.6 MB
092. Chapter 13. User-defined functions.mp4	18.5 MB
093. Chapter 13. Win share inequality and championships.mp4	58.7 MB
094. Chapter 13. Win share inequality and wins and losses.mp4	8.0 MB
095. Chapter 13. Gini coefficient bands versus winning percentage.mp4	13.0 MB
096. Chapter 13. Summary.mp4	10.4 MB
097. Chapter 14. Intermediate and advanced modeling.mp4	10.6 MB
098. Chapter 14. Importing and wrangling data.mp4	42.7 MB
099. Chapter 14. Exploring data.mp4	9.8 MB
100. Chapter 14. Correlations.mp4	29.3 MB
101. Chapter 14. Analysis of variance models.mp4	36.9 MB
102. Chapter 14. Logistic regressions.mp4	55.7 MB
103. Chapter 14. Paired data before and after.mp4	11.7 MB
104. Chapter 14. Summary.mp4	10.0 MB
105. Chapter 15. The Lindy effect.mp4	15.8 MB
106. Chapter 15. Importing and viewing data.mp4	22.1 MB
107. Chapter 15. Visualizing data.mp4	27.1 MB
108. Chapter 15. Pareto charts.mp4	31.0 MB
109. Chapter 15. Summary.mp4	4.5 MB
110. Chapter 16. Randomness versus causality.mp4	12.8 MB
111. Chapter 16. Importing and wrangling data.mp4	20.8 MB
112. Chapter 16. Rule of succession and the hot hand.mp4	25.9 MB
113. Chapter 16. Player-level analysis.mp4	36.7 MB
114. Chapter 16. League-wide analysis.mp4	10.5 MB
115. Chapter 16. Summary.mp4	7.7 MB
116. Chapter 17. Collective intelligence.mp4	12.3 MB
117. Chapter 17. Importing data.mp4	2.2 MB
118. Chapter 17. Wrangling data.mp4	20.1 MB
119. Chapter 17. Automated exploratory data analysis.mp4	83.3 MB
120. Chapter 17. Results.mp4	47.3 MB
121. Chapter 17. Summary.mp4	7.2 MB
122. Chapter 18. Statistical dispersion methods.mp4	10.6 MB
123. Chapter 18. Importing data.mp4	2.4 MB
124. Chapter 18. Exploring and wrangling data.mp4	19.2 MB
125. Chapter 18. Measures of statistical dispersion and intra-season parity.mp4	43.4 MB
126. Chapter 18. Churn and inter-season parity.mp4	23.4 MB
127. Chapter 18. Summary.mp4	3.4 MB
128. Chapter 19. Data standardization.mp4	15.2 MB
129. Chapter 19. Importing and viewing data.mp4	9.7 MB
130. Chapter 19. Wrangling data.mp4	24.4 MB
131. Chapter 19. Standardizing data.mp4	39.7 MB
132. Chapter 19. Summary.mp4	5.6 MB
133. Chapter 20. Finishing up.mp4	27.3 MB
134. Chapter 20. Significance testing.mp4	27.5 MB
135. Chapter 20. Effect size testing.mp4	20.0 MB
136. Chapter 20. Modeling.mp4	19.3 MB
137. Chapter 20. Operations research.mp4	27.6 MB
138. Chapter 20. Probability.mp4	14.3 MB
139. Chapter 20. Statistical dispersion.mp4	10.2 MB
140. Chapter 20. Standardization.mp4	9.1 MB
141. Chapter 20. Summary statistics and visualization.mp4	25.4 MB
Bonus Resources.txt	0.4 KB
Total files 143