Download Statistics Slam Dunk, Video Edition torrent

Statistics Slam Dunk, Video Edition

Torrent:	Statistics Slam Dunk, Video Edition
Description:	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
Downloads:	21
Category:	Other /Tutorials
Size:	2.7 GB
Show Files »	[ FreeCourseWeb.com ] Statistics Slam Dunk, Video Edition Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 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 (25.0 MB) 004. Chapter 1. Summary.mp4 (5.8 MB) 005. Chapter 2. Exploring data.mp4 (18.0 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 (25.0 MB) 020. Chapter 3. Hierarchical clustering.mp4 (33.1 MB) 021. Chapter 3. Summary.mp4 (8.0 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 (17.0 MB) 039. Chapter 5. Summary.mp4 (10.9 MB) 040. Chapter 6. More wrangling and visualizing data.mp4 (7.0 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 (12.0 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 (8.0 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 (15.0 MB) 079. Chapter 12. Wrangling data.mp4 (23.0 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 (14.0 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 (56.0 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 (10.0 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. files
Added:	2024-04-13 18:09:19
Language:	English
Peers:	Seeders : 3 , Leechers : 8
Release name:	Statistics Slam Dunk, Video Edition
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