Data Science
for PPGIa students
This course is taught to masters and doctorate students at PPGIa. During this course, we discuss the following aspects in Data Science:
- Basic pandas
- Descriptive statistics
- Correlation analysis
- Univariate data analysis
- Multivariate data analysis
- Enhanced data visualization
- Missing data and imputation
- Dimensionality reduction: PCA and t-SNE
Relevant links
| Asset | Link | |
|---|---|---|
| Slides - Lecture 01 | Link | |
| Slides - Lecture 02 | Link | |
| Slides - Lecture 03 | Link | |
| Slides - Lecture 04 | Link | |
| Slides - Lecture 05 | Link | |
| Slides - Lecture 06 | Link | |
| Slides - Lecture 07 | Link | |
| UCI Datasets | Link | |
| Kaggle | Link | |
| Jupyter Notebook | Link | |
| Book References (.zip) | Link | |
| PCA - Explanation (External) | Link | |
| PCA - Youtube (pt-br) | Link | |
| -> Test <- | Link |