|Course level||Advanced Bachelor/Master|
|Session 1||30 June to 14 July 2018
|Recommended course combination||Session 2: Artificial Intelligence For a Healthy Life, Wildlife Crime Analysis: Data-Driven Nature Protection|
Session 3: Big Data Management and Analysis in Linux, Operations Research: A Mathematical Way to Optimize Your World
|Co-ordinating lecturers||Andrea Bassi|
|Other lecturers||Dr. Meike Morren|
|Form(s) of tuition||Interactive seminar|
|Form(s) of assessment||Programming assignments, final examination|
Throughout the course you will work with R, conducting exercises that teach you how to analyse multi-item scales, how to analyse relationships among binary and interval variables and how to apply generalized linear regression models.
By the end of the two weeks you are acquainted with various popular R packages, can write your own functions and can use attractive plots to present your data.
At the end of this course you can:
Andrea Bassi holds a MSc in Engineering Mathematics (Polytechnic University of Milan), with a focus on Applied Statistics. After having worked in Italy as a statistical consultant, he started his PhD training in Biostatistics at the VU University Medical Center, on the BIOMARKER project. The goal of this project is to design a Bayesian adaptive clinical trial to decide on the optimal targeted treatment strategy for patients with diffuse large B-cell lymphoma (DLBCL). Furthermore, Andrea collaborates with the VU University as a teaching assistant in the area of biostatistics, for bachelor and master programs. His main research interests are Bayesian statistics, statistical programming and decision theory.
"Students should apply for Data analysis in R to discover the enormous potential of the open-source programming language R and for acquiring a series of skills and tools to analyze statistical problems of diverse nature."