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Statistics Slam Dunk, Video Edition
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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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FILE LIST
Filename
Size
~Get Your Files Here !/001. Chapter 1. Getting started.mp4
19.4 MB
~Get Your Files Here !/002. Chapter 1. Why R.mp4
30.7 MB
~Get Your Files Here !/003. Chapter 1. How this book works.mp4
25 MB
~Get Your Files Here !/004. Chapter 1. Summary.mp4
5.8 MB
~Get Your Files Here !/005. Chapter 2. Exploring data.mp4
18 MB
~Get Your Files Here !/006. Chapter 2. Importing data.mp4
6.2 MB
~Get Your Files Here !/007. Chapter 2. Wrangling data.mp4
29.5 MB
~Get Your Files Here !/008. Chapter 2. Variable breakdown.mp4
21.1 MB
~Get Your Files Here !/009. Chapter 2. Exploratory data analysis.mp4
110.3 MB
~Get Your Files Here !/010. Chapter 2. Writing data.mp4
1.7 MB
~Get Your Files Here !/011. Chapter 2. Summary.mp4
7.4 MB
~Get Your Files Here !/012. Chapter 3. Segmentation analysis.mp4
15.4 MB
~Get Your Files Here !/013. Chapter 3. Loading packages.mp4
4.6 MB
~Get Your Files Here !/014. Chapter 3. Importing and viewing data.mp4
4.6 MB
~Get Your Files Here !/015. Chapter 3. Creating another derived variable.mp4
8.6 MB
~Get Your Files Here !/016. Chapter 3. Visualizing means and medians.mp4
44.8 MB
~Get Your Files Here !/017. Chapter 3. Preliminary conclusions.mp4
9.4 MB
~Get Your Files Here !/018. Chapter 3. Sankey diagram.mp4
32.4 MB
~Get Your Files Here !/019. Chapter 3. Expected value analysis.mp4
25 MB
~Get Your Files Here !/020. Chapter 3. Hierarchical clustering.mp4
33.1 MB
~Get Your Files Here !/021. Chapter 3. Summary.mp4
8 MB
~Get Your Files Here !/022. Chapter 4. Constrained optimization.mp4
13.9 MB
~Get Your Files Here !/023. Chapter 4. Loading packages.mp4
5.7 MB
~Get Your Files Here !/024. Chapter 4. Importing data.mp4
2.7 MB
~Get Your Files Here !/025. Chapter 4. Knowing the data.mp4
8.9 MB
~Get Your Files Here !/026. Chapter 4. Visualizing the data.mp4
35.2 MB
~Get Your Files Here !/027. Chapter 4. Constrained optimization setup.mp4
13.1 MB
~Get Your Files Here !/028. Chapter 4. Constrained optimization construction.mp4
9.7 MB
~Get Your Files Here !/029. Chapter 4. Results.mp4
11.2 MB
~Get Your Files Here !/030. Chapter 4. Summary.mp4
7.5 MB
~Get Your Files Here !/031. Chapter 5. Regression models.mp4
18.1 MB
~Get Your Files Here !/032. Chapter 5. Importing data.mp4
2.2 MB
~Get Your Files Here !/033. Chapter 5. Knowing the data.mp4
13.7 MB
~Get Your Files Here !/034. Chapter 5. Identifying outliers.mp4
27.4 MB
~Get Your Files Here !/035. Chapter 5. Checking for normality.mp4
17.8 MB
~Get Your Files Here !/036. Chapter 5. Visualizing and testing correlations.mp4
14.1 MB
~Get Your Files Here !/037. Chapter 5. Multiple linear regression.mp4
67.5 MB
~Get Your Files Here !/038. Chapter 5. Regression tree.mp4
17 MB
~Get Your Files Here !/039. Chapter 5. Summary.mp4
10.9 MB
~Get Your Files Here !/040. Chapter 6. More wrangling and visualizing data.mp4
7 MB
~Get Your Files Here !/041. Chapter 6. Importing data.mp4
3.7 MB
~Get Your Files Here !/042. Chapter 6. Wrangling data.mp4
25.5 MB
~Get Your Files Here !/043. Chapter 6. Analysis.mp4
62.6 MB
~Get Your Files Here !/044. Chapter 6. Summary.mp4
5.7 MB
~Get Your Files Here !/045. Chapter 7. T-testing and effect size testing.mp4
12.8 MB
~Get Your Files Here !/046. Chapter 7. Importing data.mp4
853.1 KB
~Get Your Files Here !/047. Chapter 7. Wrangling data.mp4
9.6 MB
~Get Your Files Here !/048. Chapter 7. Analysis on 2018-19 data.mp4
60.5 MB
~Get Your Files Here !/049. Chapter 7. Analysis on 2019-20 data.mp4
27.2 MB
~Get Your Files Here !/050. Chapter 7. Summary.mp4
9.2 MB
~Get Your Files Here !/051. Chapter 8. Optimal stopping.mp4
9.6 MB
~Get Your Files Here !/052. Chapter 8. Importing images.mp4
3.4 MB
~Get Your Files Here !/053. Chapter 8. Importing and viewing data.mp4
5.4 MB
~Get Your Files Here !/054. Chapter 8. Exploring and wrangling data.mp4
26.9 MB
~Get Your Files Here !/055. Chapter 8. Analysis.mp4
74.9 MB
~Get Your Files Here !/056. Chapter 8. Summary.mp4
9.7 MB
~Get Your Files Here !/057. Chapter 9. Chi-square testing and more effect size testing.mp4
18.7 MB
~Get Your Files Here !/058. Chapter 9. Importing data.mp4
2.4 MB
~Get Your Files Here !/059. Chapter 9. Wrangling data.mp4
13.5 MB
~Get Your Files Here !/060. Chapter 9. Computing permutations.mp4
11.8 MB
~Get Your Files Here !/061. Chapter 9. Visualizing results.mp4
22.4 MB
~Get Your Files Here !/062. Chapter 9. Statistical test of significance.mp4
22.1 MB
~Get Your Files Here !/063. Chapter 9. Effect size testing.mp4
4.8 MB
~Get Your Files Here !/064. Chapter 9. Summary.mp4
6.1 MB
~Get Your Files Here !/065. Chapter 10. Doing more with ggplot2.mp4
8.4 MB
~Get Your Files Here !/066. Chapter 10. Importing and viewing data.mp4
12 MB
~Get Your Files Here !/067. Chapter 10. Salaries and salary cap analysis.mp4
23.1 MB
~Get Your Files Here !/068. Chapter 10. Analysis.mp4
93.4 MB
~Get Your Files Here !/069. Chapter 10. Summary.mp4
11.6 MB
~Get Your Files Here !/070. Chapter 11. K-means clustering.mp4
10.4 MB
~Get Your Files Here !/071. Chapter 11. Importing data.mp4
6.3 MB
~Get Your Files Here !/072. Chapter 11. A primer on standard deviations and z-scores.mp4
14.4 MB
~Get Your Files Here !/073. Chapter 11. Analysis.mp4
47.2 MB
~Get Your Files Here !/074. Chapter 11. K-means clustering.mp4
59.6 MB
~Get Your Files Here !/075. Chapter 11. Summary.mp4
8 MB
~Get Your Files Here !/076. Chapter 12. Computing and plotting inequality.mp4
17.6 MB
~Get Your Files Here !/077. Chapter 12. Loading packages.mp4
2.1 MB
~Get Your Files Here !/078. Chapter 12. Importing and viewing data.mp4
15 MB
~Get Your Files Here !/079. Chapter 12. Wrangling data.mp4
23 MB
~Get Your Files Here !/080. Chapter 12. Gini coefficients.mp4
13.7 MB
~Get Your Files Here !/081. Chapter 12. Lorenz curves.mp4
14.5 MB
~Get Your Files Here !/082. Chapter 12. Salary inequality and championships.mp4
37.6 MB
~Get Your Files Here !/083. Chapter 12. Salary inequality and wins and losses.mp4
14 MB
~Get Your Files Here !/084. Chapter 12. Gini coefficient bands versus winning percentage.mp4
9.1 MB
~Get Your Files Here !/085. Chapter 12. Summary.mp4
8.7 MB
~Get Your Files Here !/086. Chapter 13. More with Gini coefficients and Lorenz curves.mp4
14.3 MB
~Get Your Files Here !/087. Chapter 13. Importing and viewing data.mp4
2.8 MB
~Get Your Files Here !/088. Chapter 13. Wrangling data.mp4
19.1 MB
~Get Your Files Here !/089. Chapter 13. Gini coefficients.mp4
15.2 MB
~Get Your Files Here !/090. Chapter 13. Lorenz curves.mp4
16.6 MB
~Get Your Files Here !/091. Chapter 13. For loops.mp4
21.5 MB
~Get Your Files Here !/092. Chapter 13. User-defined functions.mp4
17.7 MB
~Get Your Files Here !/093. Chapter 13. Win share inequality and championships.mp4
56 MB
~Get Your Files Here !/094. Chapter 13. Win share inequality and wins and losses.mp4
7.6 MB
~Get Your Files Here !/095. Chapter 13. Gini coefficient bands versus winning percentage.mp4
12.4 MB
~Get Your Files Here !/096. Chapter 13. Summary.mp4
10 MB
~Get Your Files Here !/097. Chapter 14. Intermediate and advanced modeling.mp4
10.1 MB
~Get Your Files Here !/098. Chapter 14. Importing and wrangling data.mp4