Introduction to Python for statistical data analysis – ONLINE

Introduction to Python for statistical data analysis – ONLINE

  • First session
    26/01/2022
    2:00 pm - 5:00 pm
  • Second session
    27/01/2022
    2:00 pm - 5:00 pm
  • Third session
    28/01/2022
    2:00 pm - 5:00 pm
  • Fourth session
    31/01/2022
    2:00 pm - 5:00 pm
  • Fifth session
    01/02/2022
    2:00 pm - 5:00 pm

Course details

data science 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 & non-profit/Social sector: 375 €
Private sector: 1000 €


Venue

ONLINE


Instructor

Cristina Cametti


Details Price Qty
PhD & postdocs of Flemish universitiesshow details + €0.00 (EUR)   Sold Out
Waiting list (Register here if tickets are sold out)show details + €0.00 (EUR)  
Othershow details + €0.00 (EUR)