CS229 Introduction to Data Science with R
Home
Combined
1. Get Started
2. R Basics
3. Data Import
4. Data Manipulation Basics
5. Data Manipulation Advanced
6. Descriptive Statistics
7. Data Visualization Basics
8. Data Visualization Advanced
9. Strings and Dates
10. Programming Basics
11. Machine Learning
12. Quarto
About
Lecture 3 - Data Import
Introduction
Lecture 1 - Get Started
1
R
2
RStudio
3
R Packages
Lecture 2 - R Basics
4
Arithmetic Operations
5
Variable Assignment
6
Objects
7
Vectors
8
Matrices
9
Data frames
Lecture 3 - Data Import
10
Data Import
Lecture 4 - Data Manipulation Basics
11
Data Manipulation Basics
Lecture 5 - Data Manipulation Advanced
12
Join data using
dplyr
13
Pivot data using
tidyr
Lecture 6 - Descriptive Statistics
14
Descriptive Statistics
Lecture 7 - Data Visualization Basics
15
Introduction to Data Visualization
Lecture 8 - Data Visualization Advanced
16
Aesthetics
17
Faceting
18
Geometrics
19
Modifying the axes
20
Output
Lecture 9 - Strings and Dates
21
Strings
22
Dates and Times
Lecture 10 - Programming Basics
23
Functions
24
Flow control and loops
25
The
apply()
family in
R
Lecture 11 - Introduction to Machine Learning
26
Machine Learning
Lecture 12 - Quarto
27
Quarto Basics
28
Quarto Advanced
Lecture 13 - Navigating Data Science Projects Lifecycle
29
Formulating a Research Question
30
Data Understanding
31
Data Cleaning
32
Feature Engineering
33
Model Building, Tuning and Evaluating
34
Model Deployment and Results Reporting
Appendix
35
Data Visualization - Other
Lecture 3 - Data Import
Summary
Check Raw Data
Import Data
9
Data frames
10
Data Import