Autoplay
Autocomplete
Previous Lesson
Complete and Continue
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. Data Output
Lesson content will be unlocked within 30 minutes.
Teachable is working on this bug.
No further action will be required on your part
.
Thank you for your patience