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Beginners R Programming: Data Science and Machine Learning!

Course Introduction

01. Introduction (16:40)
01.01 Introduction Reference Files

Introduction to R Programming

Introduction to R Variables (11:43)
02.01 Intro to R Variables Source Code

03. Data Input and Output with R

01. Data Input (17:58)
03.01 Data Input Source Code
02. Data Output (5:50)
03.02 Data Output Source Code

Setting up Control Flow in R

01. Loops (10:37)
04.01 Loops Source Code
02. How to Use If Statements in R (12:39)
04.02 IF Source Code

Core Concepts of R Programming

01. Vectors (9:27)
05.01 Vectors Source Code
02. Functions (13:56)
05.02 - Functions Source Code
03. Packages (19:01)
05.03 - Packages Source Code
04. (Project) Solve a Business Problem with R (17:07)
05.04 - Business Problem Source Code

Matrix Construction in R

01. Matrices (7:28)
06.01 - Matricies Source Code

R Data Frame

01. Data Frames (13:09)
07.01 - Data Frames Source Code

R Lists and Lapply

01. Lists and Lapply (17:47)
08.01 - Source Code

Data Manipulation in R Dplyr

01. Data Manipulation and Dplyr (22:42)
09.01 - Source Code

Data Visualization in R using ggplot2

01. Basic Plots (16:24)
10.01 - Basic Plots Source Code
02. Additional Plotting (16:32)
10.02 - Additional Plotting Source Code
03. Advanced Plotting (15:14)
10.03 - Advanced Plotting Source Code

Introduction to Machine Learning

01. Intro to Machine Learning (21:42)
11.01 - Intro to Machine Learning Source Code
02. K-means Clustering (21:15)
11.02 - K-means Clustering Source Code
03. Decision Trees (22:23)
11.03 -Decision Trees Source Code

R Conclusion

01. Conclusion (4:27)
12.01 Conclusion Source Files

Bonus

Where to Find the R Logo
Accessing More Courses

01. Introduction

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