Data Analysis in Python
This course provides the tools to use Python programming language to extract knowledge from data. We will start with an introduction of basic concepts in programming. You will learn how to write short codes, read other people’s codes, automate tasks etc. Then, we will use the Pandas package to work with data collection, statistical and graphical analysis. We will learn the power of dataframes, which allows you to work productively with data. You will learn techniques for loading, cleaning, combining, slicing, and transforming data. Finally, you will be able to combine your data to statistical models and present the results in tables and graphs.
The course covers the following topics
- Introduction to programming.
- Computational tools for scientific programming.
- Basic data analysis and visualization
- Applications to economics and finance
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.