Course Curriculum
| 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 | 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 Descriptive Statistics & Reporting | 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 | 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 | 00:00:00 | ||
| 2.6 Individual Impact of Variables | 00:00:00 | ||
| 2.7 Model Selection | 00:00:00 | ||
| 2.8 Logistic Regression Conclusion | 00:00:00 | ||
| Logistic Regression Quiz | Unlimited | ||
| Decision Trees | |||
| Handout – Decision Tree | 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 | 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 | ||
| Model selection and cross validation Quiz | 00:10:00 | ||
| Projects | |||
| Direct Mail Marketing | 00:00:00 | ||
| Automobile Pricing Strategy | 00:00:00 | ||
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