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Introduction to R Programming
Section 1: Welcome
Welcome! (3:04)
Course Overview (4:56)
DOWNLOAD ME: Course Exercise Files
DOWNLOAD ME: Course Project Files
Section 2: Introduction to R
Why R? (5:02)
R for Data Science (6:24)
Preparing Workspace (4:16)
Guide to RStudio (9:19)
Exercise 1 - Introduction to R (3:01)
Section 3: Hello World! - Basics of R Programming
Operations and Variables (8:43)
Data Types in R (4:25)
Coding Style (4:51)
Comments (2:29)
Exercise 2 - Basics of R programming (4:17)
Section 4: Vectors
Vector Creation (6:15)
Selecting Components from a Vector (4:10)
Labeling Vector Elements (5:52)
Calculations with Vectors (5:17)
Base R functions to Use with Vectors (3:03)
Comparing Two Vectors (1:38)
Modifying Vector Components (2:00)
Exercise 3 - Vectors (6:05)
Section 5: Matrices
Matrix Introduction and Creation (8:16)
Matrix Metrics and Naming (5:58)
Selecting Elements (6:35)
Matrix Arithmetic (3:54)
Matrices Operations (3:53)
Matrix Modification (4:49)
Exercise 4 - Matrices (5:36)
Section 6: Arrays
Array Introduction and Creation (4:39)
Array Similarities to Matrices (3:16)
Other Array Operations (1:06)
Exercise 5 - Arrays (4:49)
Section 7: Lists
List Introduction and Creation (5:44)
List Naming (2:37)
Selecting List Elements (2:21)
List Manipulation (2:38)
List Operations (1:30)
Exercise 6 - Lists (4:07)
Section 8: Factors
Factor Introduction and Creation (4:46)
Setting Factor Levels (6:07)
Ordering Factors (5:20)
Converting Factors (2:28)
Other Considerations (3:02)
Exercise 7 - Factors (3:11)
Section 9: Loops
Loop Introduction and Creation (5:38)
If-else Statements (4:03)
For Loops (6:05)
While Loops (13:22)
Repeat Loops (2:45)
Loop Comparison (3:41)
Exercise 8 - Loops (5:31)
Section 10: Functions
Function Introduction and Creation (6:58)
Function Arguments (9:38)
Nested Functions (10:12)
Global vs. Local Variables (3:29)
Exercise 9 - Function (6:44)
Section 11: Data Frames
Dataframe Introduction and Creation (8:00)
Tidyverse (2:54)
Tibbles (9:55)
Tidy Data (10:12)
Dplyr and Data Transformation (9:11)
Summarizing Dataframes (7:23)
Exercise 10 - Dataframe (10:19)
Section 12: Mini-project
Introduction to Mini-Project (9:41)
Importing Data (8:22)
Comprehending the Dataset (12:28)
Tidying Data (6:51)
Grouping Time Series Analysis Data (3:19)
Data Visualization (7:35)
Statistical Analysis (7:17)
Exercise 11 Mini-project (5:14)
Section 13: Course Wrap-up
Great Job and Farewell! (1:24)
Course Quiz and Certificate of Completion
Base R functions to Use with Vectors
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