
Module description:
This module allow students to evaluate information, both quantitative and qualitative, gathered to assess the plausibility, or validity, of an open question of interest. This may include the construction of graphical and numerical summaries for the given data. In course also, the concept of big data analysis will be introduced where different algorithms used in big data analysis will be discussed. At the end of this course, student will have knowledge on different concepts of data analysis including: conduct hypothesis test using both parametric and non parametric methods, building different model and checking for their prediction accuracy, analyze data with high dimension (Big data) and data visualization methods that will enable student to to make sound decisions based on the data available.
- Teacher: Venuste NTAKIRUTIMANA