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R Programming Made Easy
Course Introduction
Welcome (19:37)
The Data (10:35)
What is R and RStudio?
A Brief History of R (7:06)
Excel and RStudio (13:46)
Windows Installation (10:02)
Mac Installation (12:07)
Exercise #1 - The R and RStudio Basics (6:42)
It's All About the Objects
A World of Objects (11:02)
First There Were Tables (14:32)
Exercise #2 - Basic Tables (9:05)
Then There Were Vectors (9:04)
Vectors Have Types (22:12)
Math With Vectors (9:02)
Exercise #3 - Fun With Vectors (14:05)
Data Frame Filtering
Filtering WIth Logic (21:08)
Filtering the R Way (9:42)
Exercise #4 - More Tables (14:06)
Hands-on Lab #1 - Titanic First Look
Lab Instructions
Lab Walkthrough (31:51)
Throw in Some Functions
Missing Data (3:21)
Common Stats Functions (11:55)
The Summary Function (7:03)
The data.frame Function (7:52)
The cbind and rbind Functions (11:51)
The Aggregate Function (12:47)
Exercise #5 - Some Functions (16:24)
Hands-on Lab #2 - Working Titanic Data
Lab Instructions
Lab Walkthrough (33:52)
Pivoting Data With dplyr
Introducing dplyr (2:50)
Tibbles (4:16)
Mutating Data (12:05)
Selecting and Filtering Data (10:18)
Exercise #6 - Basic dplyr (15:26)
Grouping and Summarizing Data (15:11)
Joining Data (19:39)
Arranging Data (3:18)
Exercise #7 - More dplyr (20:16)
Hands-on Lab #3 - Pivoting Titanic Data
Lab Instructions (6:19)
Lab Walkthrough (30:38)
Visualizing Data With ggplot2
Introducing ggplot2 (3:46)
Boxplots (12:18)
Histograms (10:34)
Bar Charts (8:38)
Scatter Plots (7:00)
Exercise #8 - ggplot2 (18:55)
Hands-on Lab #4 - Visualizing Titanic Data
Lab Instructions
Lab Walkthrough (27:08)
Course Wrap-up
When You Get Stuck (4:28)
Continue Your Learning (3:12)
The Data
The data sets used in this course:
💻 The iris data set is directly available in R. In the RStudio Console execute
help(iris)
to get more information. Also, a .CSV file is located 👇.
💻 The
Titanic data set
from Kaggle
Download
iris.csv
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