Index of training topics
Day 1

- Introduction to Data Analytics with Python
- Python Practice
- Understanding Python Libraries.
- Rest period
- Data analytics process

Day 2
- Data preprocessing in python
- Data format
- Changing class variables into quantitative variables in Python

Day 3

- Linear regression and multiple linear regression: ANOVA contrast analysis
- Evaluate the model using visualization
- Multi-border slope and pipelines
- Evaluation measures within the sample
Prediction and decision-making

Day 4

Expressions and variables

- Download data with panda
- Work with and save data with Pandas