This course gives an introduction to some of the more important tools and techniques used in data analytics for business. Students will obtain hands-on experience working with real data problems, they will learn how to use descriptive statistics to explore data and justify models, and how to use statistical models to turn data into actionable knowledge.
- Introductory descriptive statistics, data visualization and data re-organization.
- Data exploration.
- Introductory statistical inference.
- An introduction to various statistical modeling frameworks, such as multiple linear regression analysis (including ANOVA), factor analysis and other multivariate modeling techniques of interest.
- Diagnostics and model selection.
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.