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R Programming Exploration: Data Science and Machine Learning for Beginners
Mammoth Interactive Courses Introduction
00 About Mammoth Interactive (1:12)
Preface
01 How To Learn Online Effectively (13:46)
Source Files
Course Introduction
01. Introduction (16:40)
02. Introduction Reference Files
Introduction to R Programming
01. Introduction to R Variables (11:43)
02. Intro to R Variables Source Code
Data Input and Output with R
01. Data Input (17:58)
02. Data Input Source Code
03. Data Output (5:50)
04. Data Output Source Code
Setting up Control Flow in R
01. Loops (10:37)
02. Loops Source Code
03. How to Use If Statements in R (12:39)
04. IF Source Code
Core Concepts of R Programming
01. Vectors (9:27)
02. Vectors Source Code
03. Functions (13:56)
04. Functions Source Code
05. Packages (19:01)
06. Packages Source Code
07. (Project) Solve a Business Problem with R (17:07)
08. Business Problem Source Code
Matrix Construction in R
01. Matrices (7:28)
02. Matricies Source Code
R Data Frame
01. Data Frames (13:09)
02. Data Frames Source Code
R Lists and Lapply
01. Lists and Lapply (17:47)
02. Source Code
Data Manipulation in R Dplyr
01. Data Manipulation and Dplyr (22:41)
02. Source Code
Data Visualization in R using ggplot2
01. Basic Plots (16:24)
02. Basic Plots Source Code
03. Additional Plotting (16:32)
04. Additional Plotting Source Code
05. Advanced Plotting (15:14)
06. Advanced Plotting Source Code
Introduction to Machine Learning
01. Intro to Machine Learning (21:42)
02. Intro to Machine Learning Source Code
03. K-means Clustering (21:14)
04. K-means Clustering Source Code
05. Decision Trees (22:23)
06. Decision Trees Source Code
R Conclusion
01. Conclusion (4:27)
02. Conclusion Source Files
Bonus
01. Where to Find the R Logo
02. Accessing More Courses
03. How to Use If Statements in R
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