AAU logo

vis arrangement

Data Carpentry for Social Scientists with Python

Data Carpentry for Social Scientists with Python

If you have been wanting to get into Python but have been unsure of where to start, then this is the workshop for you.

Tidspunkt

05.12.2018 kl. 09.00 - 15.30

Beskrivelse

About the workshop

Python is a general-purpose programming language that has seen an increasing use within the social sciences. While the applications of Python are vast (it is for example used to build websites and develop apps and software), it is also an extremely powerful data analytics and statistics tool and is a popular language when it comes to machine learning.

This one-day workshop is intended to provide you with a base knowledge of how to work with Python, making you ready to explore the many possibilities in the language further.

If you have been wanting to get into Python but have been unsure of where to start, then this is the workshop for you. This course requires no prior programming experience and we will build a working knowledge for performing simple data processing using Python. We will first cover basic programming and how to work with the Jupyter Notebook tool on your own laptop or MacBook. This basic part will then be extended with data processing, visualization and database handling using the Pandas tool.

Why python?

For researchers and students interested in making use of digital methods, Python is a great language to get familiar with. Python can do almost anything data analysis related:

  • Data manipulation and management
  • Visualization
  • Statistics
  • Digital data collection (i.e. web scraping)
  • Text mining and natural language processing
  • Machine learning and deep learning algorithms

Python does this while interacting with a wide variety of data formats (text files, SAS-files, Excel-files, STATA-files, SPSS-files and so on).

Getting into a programming language and working with scripts as a social science researcher might be a bit daunting but Python has exactly seen such a rise in popularity due to its intuitiveness and wide applicability compared to other programming languages.

Sign up now

Times

  • 5/12-2018 09:00-15:30

Location

CALDISS – Fibigerstræde 5, room 37 – 9220 Aalborg Ø (subject to change)

Instructor

Special Consultant Tobias Lindstrøm Jensen

Prerequisites

None.

Requirements

Own laptop or MacBook.

Participants

Students and staff associated with the Faculty of Social Sciences at AAU.