This repository is intended for teaching analytics and includes a collection of Jupyter notebooks as homework assignments for various sessions. The notebooks cover a range of topics related to statistical inference, data modeling and probability distributions.
The first notebook, Tarea_semana_1_Inferencia_estadistica.ipynb, focuses on statistical inference, which is the process of using data to make inferences about a population.
The second notebook, Tarea_semana_2_modelado_datos_discretos.ipynb, focuses on modeling data that is discrete in nature, that is, data that can only take on a limited set of values.
The third notebook, Tarea_semana_3_modelado_datos_continuos.ipynb, covers modeling data that is continuous in nature, which can take on any value within a range.
The fourth notebook, Tarea_semana_4_inferencia_estadistica.ipynb, covers further inferences statistical inferences.
The last two notebooks, continuous_distributions.ipynb, and discrete_distributions.ipynb, respectively, covers the probability distributions of continuous and discrete data.
In summary, this repository provides a comprehensive introduction to statistical inference and data modeling, including both discrete and continuous data, with a focus on understanding and applying probability distributions.