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 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 |
260 STUDENTS ENROLLED