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1. Course Introduction
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02 Course Best Practices
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03 Windows Installation Set-Up
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04 Mac OS Installation Set-Up
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05 Linux Installation
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06 Development Environment Overview
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07 Introduction to R Basics
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08 R Matrices
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09 R Data Frames
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10 R Lists
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11 Data Input and Output with R
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12 R Programming Basics
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13 Advanced R Programming
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14 Data Manipulation with R
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15 Data Visualization with R
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16 Data Visualization Project
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17 Interactive Visualizations with Plotly
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18 Capstone Data Project
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19 Introduction to Machine Learning with R
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20 Machine Learning with R - Linear Regression
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21 Machine Learning Project - Linear Regression
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22 Machine Learning with R - Logistic Regression
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23 Machine Learning Project - Logistic Regression
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24 Machine Learning with R - K Nearest Neighbors
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25 Machine Learning Project - K Nearest Neighbors
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26 Machine Learning with R - Decision Trees and Random Forests
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27 Machine Learning Project - Decision Trees and Random Forests
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28 Machine Learning with R - Support Vector Machines
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29 Machine Learning Project - Support Vector Machines
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30 Machine Learning with R - K-means Clustering
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31 Machine Learning Project - K-means Clustering
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32 Machine Learning with R - Natural Language Processing
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33 Machine Learning with R - Neural Nets
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34 Machine Learning Project - Neural Nets
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35 Bonus Section - Discounts for Other Courses