79296 - Advanced Analysis of Data

Course Unit Page

Academic Year 2020/2021

Learning outcomes

By the end of the course the student will develop advanced expertise in formulating and implementing statistical approaches to practical problems in a wide variety of subject areas. To integrate material covered in various lecture courses with skills developed through practical work in order to solve real-world problems. By the end of this course students will be able to: - formulate questions of interest and identify relevant informal and formal statistical methodology for a wide variety of practical contexts; - implement the various stages of advanced statistical analysis appropriately in R; - interpret the output of R procedures; - critically collate results and conclusions; - present the main results and conclusions in the form of concise summaries; - present results of analyses in the form of written reports; - critically assess published applications of statistical analysis; - work independently on practical data analysis problems.

Course contents

The course will confront the student with a number of case studies covering different areas such as missing values, regression and related methods, time series and modelling, analysis of ordinal and categorical data.


Readings/Bibliography

To be posted on Insegnamenti Online/Moodle.

Teaching methods

In-class lectures, lab work, student presentations and discussions

Assessment methods

The course will be assessed by student reports and presentations on the case study. Students who cannot give a presentation during the course will be examined orally on flexible individually agreed dates, additionally to having to prepare the reports.

Teaching tools

Supporting material to be posted on Insegnamenti Online/Moodle.

Office hours

See the website of Christian Martin Hennig