Statistics for Data Science and Business Analysis

سرفصل های دوره

Mastering Statistics Fundamentals using R Programming

1 - Introduction

1 - Introduction

2 - What you will learn in this tutorial.html

2 - R Programming

3 - Why Do We Need R

4 - What Is R and R Studio

5 - R Installation

6 - RStudio Installation

7 - R Studio Interface Console and Help Tab

8 - R Studio Interface File Packages Plot and Environment Tabs

9 - Create a New Project in R

10 - Download Code and Data Files for This Project

10 - RScriptAndData.rar

11 - R Packages

12 - Install a Package in R

13 - Load a Package in R

14 - R Data Sets

15 - Broom in R Studio

16 - Get the Feel of the Data

17 - Get the Feel of the Data View

18 - Get the Feel of the Data glimpse

19 - Types of Variables in R

20 - Types of Variables in R Integers

21 - Types of Variables in R Numerics

22 - Types of Variables in R Factors or Categorical Variables

23 - Types of Variables in R Types of Factors or Categorical Variables

24 - Errors Warnings and Messages

25 - Error Warning and Messages Errors

26 - Error Warning and Messages Information Messages

27 - Error Warning and Messages Warning Messages

28 - Error Warning and Messages A Quick Recap

3 - Subjects in the Population

29 - Subjects in a Population

4 - Statistical Questions

30 - Statistical Questions

31 - Types of Statistical Questions

32 - Descriptive Questions

33 - Comparative Questions

34 - Relationship Questions

35 - Causal Questions

36 - Predictive Questions

5 - Types of Data

37 - Types of Data

38 - Categorical Data

39 - Nominal Categorical Data

40 - Ordinal Categorical Data

41 - Dichotomous Categorical Data

42 - Quantitative Data

43 - Discrete Quantitative Data

44 - Continuous Quantitative Data

45 - Why It Is Important to Classify Variables

6 - Descriptive and Inferential Statistics

46 - Descriptive and Inferential Statistics

47 - Descriptive Statistics

48 - General Social Survey

49 - Real World Example of Descriptive Statistics GSS Survey

50 - Descriptive Statistics for the Entire Population

51 - Inferential Statistics

52 - Sample Statistics and Population Parameters.html

7 - Distribution of a Variable and Frequency Table

53 - Distribution of a variable and Frequency table

54 - Distribution of a Categorical Variable

55 - Frequency Table for Categorical Variables

56 - Understanding Relative Frequency Proportions and Percentages

57 - Distribution of Quantitative Variables

58 - Frequency Table for Discrete Quantitative Variables

59 - Frequency table for discrete Var Hours Per Day Watching TV Limited Outcomes

60 - Frequency table for discrete Var Ideal Number of Kids Limited Outcomes

61 - Frequency table for discrete Var Math Exam Scores Wide Range of Outcomes

62 - Frequency Table Continuous Quantitative Variables

63 - Frequency Table for Continuous Variables Age in Census

64 - Calculate Proportion and Percentages in Excel

65 - Task 1 Frequency Table for Discrete Quantitative Variable in Excel

66 - Task 2 Frequency Table for Categorical Variable in Excel

67 - Titanic Dataset

68 - Loading Titanic Data Set from Excel into R

69 - Getting to Know the Titanic Dataset Exploring Variables

70 - Frequency Table for Categorical Variables in R

71 - Proportions and Percentages in Frequency Table in R

72 - Pipe Operator

73 - Discrete Data

74 - General Social Survey Number of Kids

75 - Recreating GSS Survey Data in Excel Ideal Number of Kids

76 - Frequency Table for Discrete Data 1 Loading Number of Kids Data in R

77 - Frequency Table for Discrete Data 2 Creating a Frequency Table

78 - Frequency Table for Continuous Data 1 Loading Titanic Data In R

79 - Frequency Table for Continuous Data 2 Calculating Range

80 - Frequency Table for Continuous Data 3 Grouping Passengers by Age Group

81 - Frequency Table for Continuous Data 4 LeftClosed and RightOpen Intervals

82 - Frequency Table for Continuous Data 5 Creating a Frequency Table

83 - Frequency Table for Continuous Data 6 Missing Values NAs

8 - Visualizing the Distribution of a Variable Using Graphs

84 - Graphs

85 - Bar Graph

86 - Pie Chart

87 - Pie Chart in R

88 - Bar graph or Pie chart Article.html

89 - Histogram for a Discrete Variable

90 - Histogram for a Discrete Variable in R

91 - Histogram for a Continuous Variable

92 - Histogram for a Continuous Variable

93 - Histogram for a Continuous Var LeftClosed RightOpen Adjusting Intervals

94 - Histogram for a Continuous Var Dealing with Missing Values

95 - Histogram for a Continuous Var Setting Interval Lengths in a Histogram

9 - The Shape of the Distribution

96 - The Shape of a Distribution

97 - Unimodal Distribution

98 - Symmetric Distribution

99 - Symmetric Distribution of Male Height An Example

100 - Simulating Hypothetical Normal Distribution in R Male Heights

101 - Symmetric Distribution Histogram in R

102 - Skewed Distributions

103 - LeftSkewed Distribution

104 - LeftSkewed Distribution Histogram in R

105 - RightSkewed Distribution

106 - RightSkewed Distribution Histogram in R

107 - Bimodal Distributions

108 - Histogram for Bimodal Distribution

109 - Another Example of Bimodal Distribution

110 - Histogram for Bimodal Distribution 2

111 - Uniform Distribution

112 - Simulating Hypothetical Uniform Distribution in R Dice Output

113 - Histogram for Uniform Distribution

10 - Center of Quantitative Data

114 - Center of Quantitative Data

115 - Mode

116 - Mode in Symmetric Discrete Distribution

117 - Mode in Left Skewed Discrete Distribution

118 - Mode in Right Skewed Discrete Distribution

119 - Mode in Uniform Discrete Distribution

120 - Mode in Categorical Variables

121 - Mean

122 - Calculating Mean in Excel

123 - Impact of Outliers on the Mean

124 - Formula for the MeanArticle.html

125 - Compute Population Mean in R

126 - Compute Sample Mean in R Part 1

127 - Compute Sample Mean in R Part 2

128 - Median

129 - Impact of Outliers on the Median

130 - Formula for Median Article.html

131 - Compute Population Median in R

132 - Compute Sample Median in R

133 - Outliers and Skewed Distributions Article.html

134 - Mean and Median in Symmetric Distribution

135 - Mean and Median in Symmetric Distribution In R

136 - Mean Median in Skewed Distribution Article.html

137 - Mean Median in Right Skewed Distribution In R

138 - Mean Median in Left Skewed Distribution In R

139 - The Mean or Median Article.html

11 - Measuring the Variability of Quantitative Data

140 - What is the Variability

141 - Range

142 - Standard Deviation

143 - Compute Standard Deviation Manually in ExcelPart 1

144 - Compute Standard Deviation Manually in ExcelPart 2

145 - Formula for Population Standard Deviation Article.html

146 - Formula for the Sample Standard Deviation Article.html

147 - Population Standard Deviation In R

148 - Sample Standard Deviation In R

149 - Sample Standard Deviation Formula Recap

150 - Calculate Standard Deviation Manually in R Using n1 Part 1

151 - Calculate Standard Deviation Manually in R Using n1 Part 2

152 - Sample Standard Deviation vs Population Standard Deviation Article.html

153 - n versus n1 Mathematically Article.html

154 - Hypothetical Normal Distribution

155 - Hypothetical Normal Distribution In R

156 - ZScore Article.html

12 - Empirical Rule

157 - Empirical Rule

158 - Empirical Rule in R Part 1

159 - Empirical Rule in R Part 2

160 - Understanding Data Distribution with the Empirical Rule

161 - Outliers in Normal Distributions Article.html

162 - Plausible Value of Standard Deviation Article.html

13 - Percentiles and Quartiles

163 - Percentiles and Quartiles

164 - Percentiles and Quartiles in R

165 - RealLife Usage of Percentiles Growth Charts

166 - RealLife Usage of Percentiles SAT Exams

167 - Making Sense of SAT Scores The Scaling Process Simplified Article.html

168 - 5Number Summary Using Quartiles Article.html

169 - Measuring Variability Using Interquartile Range IQR

170 - Identifying Outliers Using Interquartile Range IQR.html

171 - Boxplot in R

172 - Creating SidebySide Box Plots

173 - Comparing Two Distributions Using Box Plots

14 - Relationship Between Variables

174 - Relationship Between Variables

175 - Response and Explanatory Variables Article.html

176 - Types of Relationship

177 - Relationship Between Two Categorical Variables

178 - Contingency Table

179 - Contingency Table In R

180 - Stacked Bar Plot Article.html

181 - Stacked Bar Plot In R

182 - Relationship between Categorical and Quantitative Variables

183 - Relationship between Two Quantitative Variables

184 - Positive Relationship Article.html

185 - Negative Relationship Article.html

186 - No Relationship Article.html

187 - Scatterplot in R

188 - Correlation Article.html

189 - Correlation In R

15 - Summary

190 - Summary.html

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