Introduction to Python for statistical data analysis

Course details

methodology course | level: beginner | register now
for questions related to this event, contact ugent@flames-statistics.com
affiliation: Ghent University

Abstract

THIS IS AN INTRODUCTORY COURSE FOR BEGINNERS WITH NO OR VERY LITTLE PYTHON-PROGRAMMING
EXPERIENCE.

This course is intended as an Introduction to the Python programming language. In four afternoons, participants will build up the skills needed to import and manipulate data, construct descriptive statistics and plots, and perform basic analysis.


The course includes:
- Introducing the Python Anaconda distribution
- Types, Variables and Data Structures
- Functions, including writing your own
- Importing and exporting data
- Data manipulation with Numpy & Pandas
- Graphics with Matplotlib and Seaborn
- Basic statistical data analysis with scipy & statsmodels (i.e. descriptive analysis, statistical tests to compare
groups, and linear regression)


Python is free and for this course you need to install the Anaconda distribution from
https://www.anaconda.com/download/. It is recommended that you use Python version 3 or higher.

Prerequisites

No prior Python knowledge is required.

However, participants have to be familiar with basic statistical concepts as different measurement levels, measurements of centralization and variation, hypotheses testing and linear regression analysis.

We will apply those techniques using Python, so you need to be able to understand these concepts.

Background readings

Fee

PhDs and postdocs of a Flemish university: free
Other academics: 120 €
Non-profit/Social sector: 200 €
Private sector: 400 €

Venue

Ghent University

Instructor

Jef Vlegels