Introduction to Python for statistical data analysis – ONLINE

Introduction to Python for statistical data analysis – ONLINE

  • 25/01/2021
    2:00 pm - 5:00 pm
  • 26/01/2021
    2:00 pm - 5:00 pm
  • 27/01/2021
    2:00 pm - 5:00 pm
  • 28/01/2021
    2:00 pm - 5:00 pm
  • 29/01/2021
    2:00 pm - 5:00 pm

Course details

statistics course | level: beginner | register now
for questions related to this event, contact kuleuven@flames-statistics.com
affiliation: KU Leuven


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 five 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 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

IMPORTANT!!
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.

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

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


Venue

ONLINE


Instructor

Cristina Cametti


Sign up (price ticket depends on affiliation)

You will receive payment details later from the organiser by email.
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