Course Content
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00 R Programming: What is R?
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00 R Programming: What is R?
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01 R Programming: Setting Up the Environment
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02 R Programming: Variables
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03 R Programming: Creating Vectors 1
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04 R Programming: Creating Vectors 2
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05 R Programming: Repeating Vectors
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06 R Programming: Merging Vectors
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07 R Programming: Extracting Data from Vectors
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08 R Programming: Operations on Vectors
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09 R Programming: Accessing Help 1
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10 R Programming: Accessing Help 2
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11 R Programming: Transforming Data into Tables
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12 R Programming: Importing Tables from Excel for Windows Users
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13 R Programming: Importing Tables from Excel for Mac Users
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14 R Programming: Extracting Specific Data from a Dataset
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15 R Programming: Understanding Data Frame Structure
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16 R Programming: Accessing Data Frame Summary
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17 R Programming: Extracting Data from Data Frames 1
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18 R Programming: Extracting Data from Data Frames 2
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19 R Programming: Creating Functions 1
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20 R Programming: Creating Functions 2
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21 R Programming: Creating Functions 3
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22 R Programming: Adding Functions 1
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23 R Programming: Installing and Configuring Packages
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24 R Programming: Removing Packages
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25 R Programming: Using Existing Functions in Package 1
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26 R Programming: Using Existing Functions in Package 2
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27 R Programming: Merging Data Frames 1
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28 R Programming: Merging Data Frames 2
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29 R Programming: Importing CSV Files
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30 R Programming 1: Importing TXT Files
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31 R Programming 2: Importing TXT Files
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32 R Programming: Adding Functions 2
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33 R Programming: Adding Functions 3
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34 R Programming: Vectors
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35 R Programming: Operations on Vectors
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36 R Programming List: Introduction
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37 R Programming List: Creation
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38 R Programming List: Creation 2
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39 R Programming List: Extracting Data
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40 R Programming: Types of Variables in Statistics
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41 R Programming: Types of Categorical Variables
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Final Exam - Introduction to R Programming
Introduction to R Programming

An overview of R, highlighting its features and why it's a preferred choice for data analysis.

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