Excerpt from course description

Data Analysis with Programming


The students will learn the most important techniques in applied statistics and data analysis, with an emphasis on linear regression and logistic regression. Students are given hands-on experience with data analysis projects, and will gain further knowledge in working with data, using descriptive statistics to motivate models, and using models to turn data into actionable knowledge. Data examples and applications will be given.

Course content

The following topics will be covered using Python as statistical analysis system.

  • Python programming using packages such Numpy, Scipy, statsmodels, Pandas, and matplotlib.
  • Data visualization with matplotlib.
  • Basic data manipulation using Pandas and numpy.
  • How to make simple simulation studies. 
  • Multiple linear regression in statsmodels.
  • Logistic regression in statsmodels.


This is an excerpt from the complete course description for the course. If you are an active student at BI, you can find the complete course descriptions with information on eg. learning goals, learning process, curriculum and exam at portal.bi.no. We reserve the right to make changes to this description.