Introduction to Python for statistical data analysis (online)

Introduction to Python for statistical data analysis (online)

  • 22/06/2020 - 25/06/2020
    1:00 pm - 5:00 pm

Course details

statistics course | level: beginner | register now
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)

!!! Bring your own laptop, with python.
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.

Dates

Monday, 22 June 2020: 13h00 - 17h00
Tuesday, 23 June 2020: 13h00 - 17h00
Wednesday, 24 June 2020: 13h00 - 17h00
Thursday, 25 June 2020: 13h00 - 17h00

Prices

PhD's and postdocs of a Flemish university: 125*
Other academics: €150**
Non-profit/Social sector: €250**
Private sector: €500**

*Note for UGent doctoral students: the course has been submitted for recognition to the UGent Doctoral Schools. Subject to approval, they can apply for reimbursement through an application of recognition with the UGent Doctoral Schools. Doctoral students from other Flemish universities can be reimbursed by FLAMES upon complete attendance.
**Because of the coronavirus crisis, we will deliver this course through tele-teaching. We are hereby offering a 20% reduction in the course fee. Other academics will now pay €120 in place of €150, those from Non-profit organisations will pay €200 instead of €250 and those from the public and private sector will only pay €400 instead of €500.


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.
For whom: This course targets participants with little or no Python-programming experience who wish to start using Python for their data manipulation, data exploration or basic statistical analysis.


Background readings


Fee


Venue

Online


Instructor

Dr Jef Vlegels


Venue   online