Knowledge

The student…

understands how data is used in decision processes in business, in addition to practical issues related to storage and access to data in organizations
is familiar with ethical issues related to data collection, data governance, and data privacy
understands the challenges associated with handling raw data, e.g. outliers and missing data
understands the role of exploratory data analysis
is familiar with basic statistical concepts, including significance, confidence, effect size, and correlation
has knowledge about experimental design and analysis
knows how basic forecasting tools work
has basic competence with classification problems and the associated techniques
has a high-level understanding of "Big Data" techniques, and can differentiate between structured, unstructured, and reinforcement learning

Skills

The student…

will possess a high degree of proficiency with spreadsheets and gain some experience with databases
can make informed decision with respect to preprocessing and cleaning of data
can generate insight using exploratory techniques and produce descriptive statistics and visualizations
can design experiments and interpret the resulting data
can use regression and exponential smoothing techniques to generate basic forecasts
can apply basic machine learning techniques to business decisions, including decisions trees and neural networks
can justify choice of method, and effectively communicate the main conclusions

General competence

The student...

Subject description BUA3100

Business Analytics