by Jagranjosh

# R Programming Bundle by eduCBA - Online Course

Section 1: Business Analytics Using R 1 Course Introduction 2 Course Curriculum 3 Discriminate Analysis 4 Introduction to R & Analytics 5 Evolution of Business Analytics 6 Business Example- Hotel ...View more

#### Specification

• Category: Web & Mobile Development
• Product Type: Online Course
Product Description

Section 1: Business Analytics Using R

1 Course Introduction

2 Course Curriculum

3 Discriminate Analysis

4 Introduction to R & Analytics

8 Ordinal Data

9 Decision Model Example

10 Descriptive Decision Models

12 Model deployments

13 Steps in Problem Solving Process

14 Software used in Business Analytics

15 Getting Started with R

16 Installing R Studio

17 Basics of R

18 Basic R Functions

19 Data Types

20 Recycling Rule

21 Special Numerical Values

22 Parallel Summary Functions

23 Logical Conjunctions

24 Pasting Strings together

25 Type Coercion

26 Array & Matrix

27 Factor

28 Repository & Packages

29 Installing a Package

30 Importing Data

31 Importing Data SPSS

32 Working with Data

33 Data Aggregation

34 Data Manipulation & Statistics Basics

35 Merging

36 Data Creation

37 Merge Example

38 What is Statistics

39 Variables

40 Quintiles

41 Calculating Variance

42 Calculating Covariance

43 Cumulative Frequency

44 Library (mass)

46 Scatter Plot

47 Control Flow

48 Statistics, Probability & Distribution

49 Random Variable

50 Random Example

51 Discrete Example

52 Practice problem

53 Continuous Case

54 Exponential Distribution Practice Problem

55 Expected Value

56 Gambling Example

57 Deal or no deal

58 Distribution details

59 Binomial Distribution continued

60 Expected Value from Binomial

61 Uniform Random Variables

62 Probability distributions examples

63 Probability distributions examples continued

65 Normal PDF

66 What is Normal, Not Normal

67 SAT Example

68 Example- Birth Weights

69 dNorm, pNorm, qNorm

70 Understanding Estimation

71 Properties of Good Estimators

72 Central Limit Theorem

73 Kurtosis

74 Constructing Central Limit Theorem

75 Confidence Intervals for the Mean

76 Confidence Intervals Examples

77 Computer Lab Example

78 t-distribution

79 t-distribution continued

80 R Examples

81 Standard error of the mean

83 Sample Differences

84 Hypothesis Generation & Testing

85 Hypothesis Testing

86 One sided P Value

87 Power & Sample Size

88 Testing Hypothesis using R

89 Calculating the Z value

90 Lower Tail proportion of population proportion

91 Forecasting

92 Time Series Analysis Applications

93 Approaches to Forecasting

94 Observation Components

96 Double Exponentional Smoothing

97 ARIMA Steps

98 Forecasting Performance

99 Univariate ARIMA

100 R Visualization

101 Why Visualize

102 Overlaying Plots

103 Graphs representation of Data

104 Graphs representation of Data continued

106 Bubble Charts

107 Anova

108 Concept of effect

109 Estimate of Treatment effect

110 Factorial Anova

111 Regression

112 Regression Model

113 Linear Relationship

114 Output of Regression Model

Section 2: R Programming - Data Science and Analytics with R

115 Overview and History of R

116 Data types and Basic Operations – Part1_1 part 01

117 Data types and Basic Operations – Part1_1 part 02

118 Data types and Basic Operations – Part1_2 Part 01

119 Data types and Basic Operations – Part1_2 Part 02

120 Data types and Basic Operations – Part1_2 Part 03_part01

121 Data types and Basic Operations – Part1_2 Part 03_part 02 summary

122 Data types and Basic Operations – Part2_1

123 Data types and Basic Operations – Part2_2

129 Debugging-1

130 Control Structures

131 Functions Part 01

132 Functions Part 02

133 ScopingRules1 Part 01

134 ScopingRules1 Part 02

135 ScopingRules2

136 Looping1

137 Looping2

138 Looping3

139 Simulation_part-1

140 Simulation_part-2

141 Plotting1

142 Plotting2

143 Plotting3_part-1

144 Plotting3_part-2

145 Plotting4

146 Plotting5

147 PlottingColors1

148 PlottingColors2

149 Date and TimePart1and 5.Date and TimePart2

150 Date andTimePart3

151 RegEx1

152 RegEx2

153 RegEx3_part-1

154 RegEx3_part-2

155 Classes and Methods1_part-1

156 Classes and Methods1_part-2

157 Classes and Methods2_part-1

158 Classes and Methods2_part-2

159 DebuggingPart2

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R Programming Bundle by eduCBA - Online Course

Section 1: Business Analytics Using R

1 Course Introduction

2 Course Curriculum

3 Discriminate Analysis

4 Introduction to R & Analytics

5 Evo

Specification
• Category: Web & Mobile Development
• Product Type: Online Course
Product Description

Section 1: Business Analytics Using R 1 Course Introduction 2 Course Curriculum 3 Discriminate Analysis 4 Introduction to R & Analytics 5 Evolution of Business Analytics 6 Business Example- Hotel 7 Data for Business Analytics 8 Ordinal Data 9 Decision Model Example 10 Descriptive Decision Models ... Read More

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