Take a microdata.no course in the spring term
The course offer in microdata.no in the spring term 2022 includes two types of introductory courses, one of which is aimed at participants with sparse programming experience, and two courses on specific topics on a more advanced level. The courses are in Norwegian, except for the introductory course 22. March.
These are the spring term courses:
Date | Course |
---|---|
17 February | Introductory Course – basic (IN NORWEGIAN) |
10:00–14:00 On Teams | |
22 March | Introductory course – basic+ (IN ENGLISH) |
10:00–14:00 On Teams | |
30 March | Specialized topic: Contextual data (IN NORWEGIAN) |
10:00–12:00 On Teams | |
Contextual data describe the person’s surroundings – e.g. parents and siblings, the family and the household, the town and the municipality. microdata.no has pointers from the person to data on all these units. Learn what variables we have, which ones you can create and how to link units together. | |
26 April | Introductory Course – basic (IN NORWEGIAN) |
10:00–14:00 On Teams | |
28 April | Specialized topic: Education- and Labor Marked statistics (IN NORWEGIAN) |
10:00–12:00 On Teams | |
A person can take several educations at the same time and have more than one job. Learn which employment and education data microdata.no has, which to use when, and how to handle parallel events. | |
24 May | Introductory course – basic+ (IN NORWEGIAN) |
10:00–14:00 On Teams | |
31 May | Specialized topic: Contextual data (IN NORWEGIAN) |
10:00–12:00 On Teams | |
21 June | Introductory Course – basic (IN NORWEGIAN) |
10:00–14:00 On Teams | |
23 June | Specialized topic: Education- and Labor Marked statistics (IN NORWEGIAN) |
10:00–12:00 On Teams |
Sign up to courses by mail: kurs@microdata.no.
The courses are digital, and there is no course fee. All participants receive a booklet with practical tasks, which they solve during the course guided by an experienced lecturer.
After the introductory course, you know enough to start using microdata.no as a tool in your daily work. You learn how to set up your own data sets, use descriptive tools such as tables, graphs, averages and sums, and to run causal analysis. The Basic course aims at participants with sparse programming experience. The Basic+ course is easier to follow with elementary familiarity with scripting.
The specialized courses give you competence to run advanced jobs in the topics covered.