| 001. Chapter 1. Getting started.mp4 | 19.4 MB | ||
| 002. Chapter 1. Why R.mp4 | 30.7 MB | ||
| 003. Chapter 1. How this book works.mp4 | 25 MB | ||
| 004. Chapter 1. Summary.mp4 | 5.8 MB | ||
| 005. Chapter 2. Exploring data.mp4 | 18 MB | ||
| 006. Chapter 2. Importing data.mp4 | 6.2 MB | ||
| 007. Chapter 2. Wrangling data.mp4 | 29.5 MB | ||
| 008. Chapter 2. Variable breakdown.mp4 | 21.1 MB | ||
| 009. Chapter 2. Exploratory data analysis.mp4 | 110.3 MB | ||
| 010. Chapter 2. Writing data.mp4 | 1.7 MB | ||
| 011. Chapter 2. Summary.mp4 | 7.4 MB | ||
| 012. Chapter 3. Segmentation analysis.mp4 | 15.4 MB | ||
| 013. Chapter 3. Loading packages.mp4 | 4.6 MB | ||
| 014. Chapter 3. Importing and viewing data.mp4 | 4.6 MB | ||
| 015. Chapter 3. Creating another derived variable.mp4 | 8.6 MB | ||
| 016. Chapter 3. Visualizing means and medians.mp4 | 44.8 MB | ||
| 017. Chapter 3. Preliminary conclusions.mp4 | 9.4 MB | ||
| 018. Chapter 3. Sankey diagram.mp4 | 32.4 MB | ||
| 019. Chapter 3. Expected value analysis.mp4 | 25 MB | ||
| 020. Chapter 3. Hierarchical clustering.mp4 | 33.1 MB | ||
| 021. Chapter 3. Summary.mp4 | 8 MB | ||
| 022. Chapter 4. Constrained optimization.mp4 | 13.9 MB | ||
| 023. Chapter 4. Loading packages.mp4 | 5.7 MB | ||
| 024. Chapter 4. Importing data.mp4 | 2.7 MB | ||
| 025. Chapter 4. Knowing the data.mp4 | 8.9 MB | ||
| 026. Chapter 4. Visualizing the data.mp4 | 35.2 MB | ||
| 027. Chapter 4. Constrained optimization setup.mp4 | 13.1 MB | ||
| 028. Chapter 4. Constrained optimization construction.mp4 | 9.7 MB | ||
| 029. Chapter 4. Results.mp4 | 11.2 MB | ||
| 030. Chapter 4. Summary.mp4 | 7.5 MB | ||
| 031. Chapter 5. Regression models.mp4 | 18.1 MB | ||
| 032. Chapter 5. Importing data.mp4 | 2.2 MB | ||
| 033. Chapter 5. Knowing the data.mp4 | 13.7 MB | ||
| 034. Chapter 5. Identifying outliers.mp4 | 27.4 MB | ||
| 035. Chapter 5. Checking for normality.mp4 | 17.8 MB | ||
| 036. Chapter 5. Visualizing and testing correlations.mp4 | 14.1 MB | ||
| 037. Chapter 5. Multiple linear regression.mp4 | 67.5 MB | ||
| 038. Chapter 5. Regression tree.mp4 | 17 MB | ||
| 039. Chapter 5. Summary.mp4 | 10.9 MB | ||
| 040. Chapter 6. More wrangling and visualizing data.mp4 | 7 MB | ||
| 041. Chapter 6. Importing data.mp4 | 3.7 MB | ||
| 042. Chapter 6. Wrangling data.mp4 | 25.5 MB | ||
| 043. Chapter 6. Analysis.mp4 | 62.6 MB | ||
| 044. Chapter 6. Summary.mp4 | 5.7 MB | ||
| 045. Chapter 7. T-testing and effect size testing.mp4 | 12.8 MB | ||
| 046. Chapter 7. Importing data.mp4 | 853.1 KB | ||
| 047. Chapter 7. Wrangling data.mp4 | 9.6 MB | ||
| 048. Chapter 7. Analysis on 2018-19 data.mp4 | 60.5 MB | ||
| 049. Chapter 7. Analysis on 2019-20 data.mp4 | 27.2 MB | ||
| 050. Chapter 7. Summary.mp4 | 9.2 MB | ||
| 051. Chapter 8. Optimal stopping.mp4 | 9.6 MB | ||
| 052. Chapter 8. Importing images.mp4 | 3.4 MB | ||
| 053. Chapter 8. Importing and viewing data.mp4 | 5.4 MB | ||
| 054. Chapter 8. Exploring and wrangling data.mp4 | 26.9 MB | ||
| 055. Chapter 8. Analysis.mp4 | 74.9 MB | ||
| 056. Chapter 8. Summary.mp4 | 9.7 MB | ||
| 057. Chapter 9. Chi-square testing and more effect size testing.mp4 | 18.7 MB | ||
| 058. Chapter 9. Importing data.mp4 | 2.4 MB | ||
| 059. Chapter 9. Wrangling data.mp4 | 13.5 MB | ||
| 060. Chapter 9. Computing permutations.mp4 | 11.8 MB | ||
| 061. Chapter 9. Visualizing results.mp4 | 22.4 MB | ||
| 062. Chapter 9. Statistical test of significance.mp4 | 22.1 MB | ||
| 063. Chapter 9. Effect size testing.mp4 | 4.8 MB | ||
| 064. Chapter 9. Summary.mp4 | 6.1 MB | ||
| 065. Chapter 10. Doing more with ggplot2.mp4 | 8.4 MB | ||
| 066. Chapter 10. Importing and viewing data.mp4 | 12 MB | ||
| 067. Chapter 10. Salaries and salary cap analysis.mp4 | 23.1 MB | ||
| 068. Chapter 10. Analysis.mp4 | 93.4 MB | ||
| 069. Chapter 10. Summary.mp4 | 11.6 MB | ||
| 070. Chapter 11. K-means clustering.mp4 | 10.4 MB | ||
| 071. Chapter 11. Importing data.mp4 | 6.3 MB | ||
| 072. Chapter 11. A primer on standard deviations and z-scores.mp4 | 14.4 MB | ||
| 073. Chapter 11. Analysis.mp4 | 47.2 MB | ||
| 074. Chapter 11. K-means clustering.mp4 | 59.6 MB | ||
| 075. Chapter 11. Summary.mp4 | 8 MB | ||
| 076. Chapter 12. Computing and plotting inequality.mp4 | 17.6 MB | ||
| 077. Chapter 12. Loading packages.mp4 | 2.1 MB | ||
| 078. Chapter 12. Importing and viewing data.mp4 | 15 MB | ||
| 079. Chapter 12. Wrangling data.mp4 | 23 MB | ||
| 080. Chapter 12. Gini coefficients.mp4 | 13.7 MB | ||
| 081. Chapter 12. Lorenz curves.mp4 | 14.5 MB | ||
| 082. Chapter 12. Salary inequality and championships.mp4 | 37.6 MB | ||
| 083. Chapter 12. Salary inequality and wins and losses.mp4 | 14 MB | ||
| 084. Chapter 12. Gini coefficient bands versus winning percentage.mp4 | 9.1 MB | ||
| 085. Chapter 12. Summary.mp4 | 8.7 MB | ||
| 086. Chapter 13. More with Gini coefficients and Lorenz curves.mp4 | 14.3 MB | ||
| 087. Chapter 13. Importing and viewing data.mp4 | 2.8 MB | ||
| 088. Chapter 13. Wrangling data.mp4 | 19.1 MB | ||
| 089. Chapter 13. Gini coefficients.mp4 | 15.2 MB | ||
| 090. Chapter 13. Lorenz curves.mp4 | 16.6 MB | ||
| 091. Chapter 13. For loops.mp4 | 21.5 MB | ||
| 092. Chapter 13. User-defined functions.mp4 | 17.7 MB | ||
| 093. Chapter 13. Win share inequality and championships.mp4 | 56 MB | ||
| 094. Chapter 13. Win share inequality and wins and losses.mp4 | 7.6 MB | ||
| 095. Chapter 13. Gini coefficient bands versus winning percentage.mp4 | 12.4 MB | ||
| 096. Chapter 13. Summary.mp4 | 10 MB | ||
| 097. Chapter 14. Intermediate and advanced modeling.mp4 | 10.1 MB | ||
| 098. Chapter 14. Importing and wrangling data.mp4 | 40.7 MB | ||
| 099. Chapter 14. Exploring data.mp4 | 9.3 MB | ||
| 100. Chapter 14. Correlations.mp4 | 27.9 MB | ||
| 101. Chapter 14. Analysis of variance models.mp4 | 35.2 MB | ||
| 102. Chapter 14. Logistic regressions.mp4 | 53.1 MB | ||
| 103. Chapter 14. Paired data before and after.mp4 | 11.2 MB | ||
| 104. Chapter 14. Summary.mp4 | 9.6 MB | ||
| 105. Chapter 15. The Lindy effect.mp4 | 15.1 MB | ||
| 106. Chapter 15. Importing and viewing data.mp4 | 21.1 MB | ||
| 107. Chapter 15. Visualizing data.mp4 | 25.8 MB | ||
| 108. Chapter 15. Pareto charts.mp4 | 29.6 MB | ||
| 109. Chapter 15. Summary.mp4 | 4.3 MB | ||
| 110. Chapter 16. Randomness versus causality.mp4 | 12.2 MB | ||
| 111. Chapter 16. Importing and wrangling data.mp4 | 19.8 MB | ||
| 112. Chapter 16. Rule of succession and the hot hand.mp4 | 24.7 MB | ||
| 113. Chapter 16. Player-level analysis.mp4 | 35 MB | ||
| 114. Chapter 16. League-wide analysis.mp4 | 10 MB | ||
| 115. Chapter 16. Summary.mp4 | 7.4 MB | ||
| 116. Chapter 17. Collective intelligence.mp4 | 11.7 MB | ||
| 117. Chapter 17. Importing data.mp4 | 2.1 MB | ||
| 118. Chapter 17. Wrangling data.mp4 | 19.1 MB | ||
| 119. Chapter 17. Automated exploratory data analysis.mp4 | 79.4 MB | ||
| 120. Chapter 17. Results.mp4 | 45.1 MB | ||
| 121. Chapter 17. Summary.mp4 | 6.9 MB | ||
| 122. Chapter 18. Statistical dispersion methods.mp4 | 10.1 MB | ||
| 123. Chapter 18. Importing data.mp4 | 2.3 MB | ||
| 124. Chapter 18. Exploring and wrangling data.mp4 | 18.3 MB | ||
| 125. Chapter 18. Measures of statistical dispersion and intra-season parity.mp4 | 41.4 MB | ||
| 126. Chapter 18. Churn and inter-season parity.mp4 | 22.4 MB | ||
| 127. Chapter 18. Summary.mp4 | 3.3 MB | ||
| 128. Chapter 19. Data standardization.mp4 | 14.5 MB | ||
| 129. Chapter 19. Importing and viewing data.mp4 | 9.2 MB | ||
| 130. Chapter 19. Wrangling data.mp4 | 23.3 MB | ||
| 131. Chapter 19. Standardizing data.mp4 | 37.9 MB | ||
| 132. Chapter 19. Summary.mp4 | 5.4 MB | ||
| 133. Chapter 20. Finishing up.mp4 | 26.1 MB | ||
| 134. Chapter 20. Significance testing.mp4 | 26.2 MB | ||
| 135. Chapter 20. Effect size testing.mp4 | 19.1 MB | ||
| 136. Chapter 20. Modeling.mp4 | 18.4 MB | ||
| 137. Chapter 20. Operations research.mp4 | 26.3 MB | ||
| 138. Chapter 20. Probability.mp4 | 13.6 MB | ||
| 139. Chapter 20. Statistical dispersion.mp4 | 9.8 MB | ||
| 140. Chapter 20. Standardization.mp4 | 8.7 MB | ||
| 141. Chapter 20. Summary statistics and visualization.mp4 | 24.2 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 143 total files | |||
Statistics Slam Dunk, Video Edition
https://FreeCourseWeb.com
Released 1/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 17h 49m | Size: 2.71 GB
Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language.
Statistics Slam Dunk is an engaging how-to guide for statistical analysis with R. Each chapter contains an end-to-end data science or statistics project delving into NBA data and revealing real-world sporting insights. Written by a former basketball player turned business intelligence and analytics leader, you’ll get practical experience tidying, wrangling, exploring, testing, modeling, and otherwise analyzing data with the best and latest R packages and functions.
In Statistics Slam Dunk you’ll develop a toolbox of R programming skills including
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