PART D: Advanced
Introduction to Data Science with
Home
PART A: About R and DataScience
1
DataScience & Software
2
Workflow
PART B: R Basics
3
Data 1
4
Data 2
5
Datavisualization
PART C: Essentials
6
Univariate Exploratory analysis
7
Bivariate Exploratory analysis
8
Statistical inference
PART D: Advanced
9
Linear Regression
10
Logistic Regression
11
Spatial 1
12
Spatial 2
Appendices
A
Readings
Table of contents
Chapters
Report an issue
PART D: Advanced
This fourth part will teach you…
Chapters
Linear Regression
Linear Regression Models
François Briatte
(small modifs by Kim Antunez & ChatGPT)
Apr 2, 2024
Logistic Regression
Linear Generalized Regression Models
François Briatte
(small modifs by Kim Antunez & ChatGPT)
Apr 16, 2024
Spatial 1
Spatial analysis and Cartography
Kim Antunez & Etienne Côme
Apr 17, 2024
Spatial 2
End of Spatial and notions of classification methods
François Briatte
(small modifs by Kim Antunez & ChatGPT)
Apr 23, 2024
No matching items
8
Statistical inference
9
Linear Regression
