Statistics Slam Dunk, Video Edition

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[ FreeCourseWeb.com ] Statistics Slam Dunk, Video Edition
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    • 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.

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



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Statistics Slam Dunk, Video Edition

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2.7 GB
seeders:3
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Statistics Slam Dunk, Video Edition

Torrent hash: A96397A18BDB28581890704348F4D7B193B7CC69