Python Data Analysis @ DIPSCO

Introductory course on Psychology and Cognitive Data Analysis in Python

• Where: Department of Psychology and Cognitive Science, University of Trento
• When: 18 - 20 September, 2023
• Who('s teaching): Dr. Giulio Rossetti, Dr. Salvatore Citraro, Dott. Katherine Abramski

Tentative Schedule:

• 18/09/23: 9.30 - 13.30 - Intro to Python: the language and the dataframe abstraction data frames
• 19/09/23: 9.30 - 13.30 - Data analysis I: Visualization and Clustering
• 20/09/23: 9.30 - 13.30 - Data analysis II: Regression, Classification and R/Python integration

Detailed contents

• Python Basics
• Data Manipulation in Pandas
• Intro to data visualization in Python
• Data Analysis in Python
  • Clustering
  • Regression
  • Classification
• Interfacing R and Python

The course will be delivered in the form of Jupyter Notebooks, a web-based interactive computational environment for creating Jupyter notebooks documents.

As running example, we will use the Glasgow Norms dataset, a collection of 5,196 words and their ratings on a variety of semantic scales. A data exploration notebook is available here.

Requirements

• Basic knowledge of Python (optional) and R (optional)

Getting started

Hands-on (online) environment

The course will leverage the SoBigData Research Infrastructure.

A dedicated VRE (Virtual Research Environment) can be accessed here.

Local setup

Download and install Anaconda, a Python distribution designed to support the Data Science community.

The Jupyter Notebook server can be installed/executed (visually) using "Anaconda Navigator". To execute the notebook "Mixing R and Python" you need to have R installed on your machine.