/data_analysis

A series of exercises for a data analysis graduate class to test the already known programming knowledge and those aquired from lectures.

Primary LanguageJupyter Notebook

DATA ANALYSIS

This repository contains exercises that were applied in graduate course in statistics and data analysis

In the notebooks folder, a total a four jupyter_notebook files can be found. The first two are Exercise List 1.ipynb and Exercise List 2.ipynb. These two include assigned exercises to work on for this course. The files are pretty straightfoward, in which each will have listed all exercises and their respective solutions.

The other two files, generating_random_numbers.ipynb and linear_interpolation.ipynb, were pratice exercises in which our professor suggested in class to solve in order improve our programming with statistics skills.

In the first one, generating_random_numbers.ipynb, is a code that generates random numbers for a given distribution. In the second one, linear_interpolation.ipynb, is a code that generates interpolated values for a function.

Finally there is the functions folder which contains functions.py file that contains all fucntions that were required to create in order to complete Exercise Lists 1 and 2.

ACKNOWLEDGMENTS

This course was created and taught by Prof. Sandro Vitenti. This repository is merely the exercises sent by the professor and its solutions.

CONTACT

Created by Douglas Sanini