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Programming for Data Wrangling and Visualisation

Course - Master of Applied Statistics

Programming for Data Wrangling and Visualisation

This course provides an introduction to data wrangling and visualisation concepts and skills, enabling graduates to understand and perform the full data journey from raw data to meaningful visualisation.

Apply for admission

Course - Master of Applied Statistics

Programming for Data Wrangling and Visualisation

This course provides an introduction to data wrangling and visualisation concepts and skills, enabling graduates to understand and perform the full data journey from raw data to meaningful visualisation.

Apply for admission

Facts

Programming for Data Wrangling and Visualisation
Location
Aalborg
Tuition fees
  • 15.000kr. (19.000kr. Non EU)
Duration
Spring 2026
ECTS
5
Application deadline
  • 10th November 2025

Programming for Data Wrangling and Visualisation is a course from the 1st semester of the Master in Applied Statistics. 

During the course, you will gain a foundation of knowledge and skills within data science that will enable you to transform, analyse and visualise data to provide useful, reliable knowledge for decision making, optimization, product development, etc. 

The course will provide you with knowledge and skills within:  

  • Data wrangling concepts and techniques, including data cleaning, data transformation, and data preparation for analyses
  • Data exploration to identify relevant patterns and preliminary insights
  • Data frames as data structures and the fundamental operations to manipulate them
  • Effective visualisation, including the principles for creating meaningful visualisations
  • Basic data manipulation to perform data wrangling in Python (e.g., pandas)
  • Performing data cleaning, normalisation and scaling on data frames in Python
  • Construction of summary tables based on different stratifications
  • Creation of plots using Python’s plot libraries, such as MatPlotLib, Seaborn, or Plotly
  • Evaluating and improving plots to achieve clarity and precision.

Target Group and Outcome

Seminar Dates, Location and other Expenses

Admission Requirements and Further Information

Opportunities for single courses

Single courses is an opportunity for you who may not want to complete a full part-time programme.

Learn more about another type of single courses here.