• Category: Web & Mobile Development
• Product Type: 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 7 Data for Business Analytics 8 Ordinal Data 9 Decision Model Example 10 Descriptive Decision Models 11 Business Analytics Life Cycle 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) 45 Head (faithful) 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 64 Business Analytics using R 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 82 Downloading the Package 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 95 Traditional Approaches 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 105 Advanced Graphs 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_2 124 ?ReadingData-1 125 ?ReadingData-2 126 ReadingData-3 127 ReadingData-4a 128 ReadingData-4b 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 ... Read More