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### Course Curriculum

• 00:00:00
•  Introduction to R Handout – Introduction to R 00:00:00 1.1 Getting Started in R FREE 00:00:00 1.2 R Environment FREE 00:00:00 1.3 R Packages 00:00:00 1.4 R Data Types Vectors 00:00:00 1.5 R Dataframes 00:00:00 1.6 List in R 00:00:00 1.7 Factor and Matrices 00:00:00 1.8 R History and Scripts 00:00:00 1.9 R Functions 00:00:00 1.10 Errors in R 00:00:00 R quiz unit 1 Unlimited Data Handling in R Handout – Data Handling in R 00:00:00 2.1 Data handling introduction FREE 00:00:00 2.2 Importing the Datasets FREE 00:00:00 2.3 Checklist 00:00:00 2.4 Subsetting the Data 00:00:00 2.5 Subsetting Variable Condition 00:00:00 2.6 Calculated Fields _ ifelse 00:00:00 2.7 Sorting and Duplicates 00:00:00 2.8 Joining and Merging 00:00:00 2.9 Exporting the Data 00:00:00 R Quiz Unit 2 Unlimited Basic Descriptive Statistics & Reporting Handout – Basic Statistics, Plots and Reporting in R 00:00:00 3.1 Introduction and Sampling FREE 00:00:00 3.2 Descriptive Statistics FREE 00:00:00 3.3 Percentiles and Quartiles 00:00:00 3.4 Box Plots 00:00:00 3.5 Creating Graphs and Conclusion 00:00:00 R Quiz Unit 3 Unlimited Regression Analysis Handout – Regression Analysis 00:00:00 1.1 Introduction and Corelation FREE 00:00:00 1.2 LAB Corelation Calculation in R FREE 00:00:00 1.3 Beyond Pearson Corelation 00:00:00 1.4 From Corelation to Regression 00:00:00 1.5 Regression Line Fitting in R 00:00:00 1.6 R Squared 00:00:00 1.7 Multiple Regression 00:00:00 1.8 Adjusted R Squared 00:00:00 1.9 Issue with Multiple Regression 00:00:00 1.10 Multicollinearity 00:00:00 1.11 Regression Conclusion 00:00:00 Regression Quiz Unlimited Logistic Regression Handout – Logistic Regression in R 00:00:00 2.1 Need of Non-Linear Regression FREE 00:00:00 2.2 Logistic Function and Line FREE 00:00:00 2.3 Multiple Logistic Regression 00:00:00 2.4 Goodness of Fit for a Logistic Regression 00:00:00 2.5 Multicollinearity in Logistic Regression in R 00:00:00 2.6 Individual Impact of Variables in R 00:00:00 2.7 Model Selection in R 00:00:00 2.8 Logistic Regression Conclusion 00:00:00 Logistic Regression Quiz Unlimited Decision Trees Handout – Decision Tree in R 00:00:00 3.1 Introduction to Decision Tree & Segmentation FREE 00:00:00 3.2 The Decision Tree Philosophy & The Decision Tree Approach FREE 00:00:00 3.3 The Splitting criterion &Entropy Calculation 00:00:00 3.4 Information Gain & Calculation 00:00:00 3.5 The Decision Tree Algorithm 00:00:00 Decision Trees Quiz Unlimited Model Selection and Cross Validation Handout – Model Selection and Cross Validation in R 00:00:00 4.1 Introduction to Model Selection FREE 00:00:00 4.2 Sensitivity Specificity FREE 00:00:00 4.3 Sensitivity Specificity Continued 00:00:00 4.4 ROC AUC 00:00:00 4.5 The Best Model 00:00:00 4.6 Errors 00:00:00 4.7 Overfitting Underfitting 00:00:00 4.8 Bias_Variance Treadoff 00:00:00 4.9 Holdout Data Validation 00:00:00 4.10 Ten Fold CV 00:00:00 Projects Direct Mail Marketing 00:00:00 Automobile Pricing Strategy 00:00:00
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