|Course level||Advanced Bachelor/Master, open to PhD staff and professionals|
||3 August to 17 August 2019
|Recommended course combination
||Session 1: Programming in Python|
Session 1 and 2: Data Analysis in R
|Co-ordinating lecturer||Dr. Aysu Okbay|
|Other lecturers||Richard K. Linnér|
|Form(s) of tuition||Interactive seminars, practicals|
|Form(s) of assessment||Programming assignments|
|Total tuition fee||€1150|
Scientists and data analysts from all disciplines, as well as business practitioners (e.g. consultants or financial analysts) who are planning to work with big data. If you have doubts about your eligibility for the course, please let us know. Our courses are multi-disciplinary and therefore are open to students with a wide variety of backgrounds.
The course will be fairly technical, combined with many computer tutorials. There are no entry requirements other than a willingness to learn about programming Linux, but a decent background in statistics, mathematics, and programming is an advantage.
The format of the course is three hour lectures in the morning, followed by two hours of supervised work in computer tutorials in the afternoon. Both the lectures and tutorials will be held in a computer room. The lectures will be interactive, with short examples that allow students to apply the introduced concepts. In the tutorials, students will get more hands-on training in a supervised environment with exercises covering the day’s topics, and they will have the opportunity to work on the assignments. The computer room will stay open to students for self-study after the tutorials.
Students are not required to bring their own laptops, but they are allowed to do so if they wish to work on their own computers.
By the end of this course, the student should understand and feel comfortable with: