Section 1 : Introduction
Lecture 1 Important - Download These First - Working Files
Lecture 2 0101 Introduction And Course Overview 00:01:40 Duration
Lecture 3 0103 Installing R And R Studio
Lecture 4 0104 Navigating R Studio 00:05:11 Duration
Lecture 5 0105 Packages 00:03:40 Duration
Lecture 6 0106 Assigning Variables 00:03:31 Duration
Lecture 7 0107 Numbers, Strings, And Booleans 00:05:26 Duration
Lecture 8 0108 Workspace Operations 00:05:26 Duration
Lecture 9 About Certification

Section 2 : Basic Operations And Manipulations
Lecture 1 0201 Basic Operators
Lecture 2 0202 Vectors 00:07:26 Duration
Lecture 3 0203 Sequences 00:04:45 Duration
Lecture 4 0204 Basic Statistical Functions 00:06:28 Duration
Lecture 5 0205 Matrices 00:06:51 Duration
Lecture 6 0206 Matrix Operations 00:05:29 Duration
Lecture 7 0207 Basic Matrix Statistics 00:04:12 Duration
Lecture 8 0208 Generating Random Numbers 00:08:01 Duration
Lecture 9 0209 String Functions 00:07:46 Duration
Lecture 10 0210 Dates And Times 00:07:56 Duration

Section 3 : Plotting
Lecture 1 0301 Line Plots
Lecture 2 0302 Plotting Arguments 00:04:31 Duration
Lecture 3 0303 Bar Graphs And Histogram 00:06:49 Duration
Lecture 4 0304 Scatter Plots 00:06:29 Duration
Lecture 5 0305 Probability Plots 00:06:34 Duration
Lecture 6 0306 Combining And Saving Plots 00:04:51 Duration

Section 4 : Working With Data
Lecture 1 0401 Arrays 00:04:11 Duration
Lecture 2 0402 Lists 00:03:58 Duration
Lecture 3 0403 Data Frames 00:05:35 Duration
Lecture 4 0404 Data Import 00:05:34 Duration
Lecture 5 0405 Missing Data-Part 1 00:03:56 Duration
Lecture 6 0406 Missing Data - Part 2 00:04:10 Duration
Lecture 7 0407 Ordering And Sorting 00:04:17 Duration
Lecture 8 0408 Subsetting And Indexing 00:04:41 Duration
Lecture 9 0409 Merging Data 00:04:21 Duration
Lecture 10 0410 Examining Files And Objects 00:03:49 Duration

Section 5 : Data Analysis
Lecture 1 0502 Apply Functions 00:03:38 Duration
Lecture 2 0503 Linear Models 00:06:08 Duration
Lecture 3 0504 Extracting Model Information 00:05:06 Duration
Lecture 4 0505 Principal Componant Analysis 00:02:49 Duration

Section 6 : Time Series Data
Lecture 1 0601 XTS Objects
Lecture 2 0602 ACF Plots 00:02:54 Duration
Lecture 3 0603 Decomposition 00:02:43 Duration
Lecture 4 0604 Exponential Smoothing 00:04:05 Duration
Lecture 5 0605 Rolling Function 00:04:26 Duration
Lecture 6 0606 ARIMA Models 00:04:36 Duration

Section 7 : Conditional Statements And Loops
Lecture 1 0701 If Statements 00:05:59 Duration
Lecture 2 0702 For Loops 00:04:24 Duration
Lecture 3 0703 While Loops 00:03:02 Duration
Lecture 4 0704 Appending Loops 00:04:01 Duration

Section 8 : User-Defined Functions
Lecture 1 0801 Writing Functions
Lecture 2 0802 Debugging Functions 00:05:10 Duration
Lecture 3 0803 Recursive Functions 00:02:07 Duration

Section 9 : Saving Data
Lecture 1 0901 Saving Different Types Of Data 00:02:02 Duration
Lecture 2 0902 Additional Resources 00:02:00 Duration