Træningskurser i Programmering, Software og Visualisering

tir 26 Mar | Aalborg Universitet
Building on a basic knowledge of R and statistics, this workshop series teaches you how to do exploratory data analysis in R: from summary statistics, exploratory models to visualization. The purpose of exploratory data analysis (EDA) is to apply an inductive approach to data and gain insights from...
tir 26 Mar | Digital Social Science Lab, København
Excel er et stærkt talbehandlingsværktøj, der kan analysere og skabe overblik over store mængder data og vise dét, du vil fremhæve, i dine opgaver i form af tabeller og diagrammer. Vi introducerer Excels terminologi og gennemgår basisfunktioner, betinget formatering, sortering, tabeller, diagrammer...
ons 27 Mar | Københavns Universitetsbibliotek Nord
Del 1 af kurset Intoduktion til Python for begyndere i KUB Nord: Data Lab. Event Organizer: Christian Knudsen. Ingen tilmelding - bare mød op!
ons 27 Mar | DTU Bibliotek, Lyngby
Code Club is a community for both beginners and experts, students and employees. You are welcome whether you have no previous experience with programming or if you just want a place, a community and a snack while you are coding. A group of DTU students with experience and knowledge about coding and...
tor 28 Mar | DTU, Lyngby
The first OPERA workshop will focus on the latest international developments in Open Research Analytics: Open analytics data, open metrics and open systems as well as how to measure openness, how to include Open Science in the analysis. Three keynotes will put the overall workshop issues in...
man 01 apr | Digital Social Science Lab, København
Vil du gerne have styr på Microsoft Excel, så kig forbi til vores workshop på biblioteket i Gothersgade. Fokus er på brug af Excel til opgaver og studiet. Excel er et stærkt talbehandlingsværktøj, der kan analysere og skabe overblik over store mængder data og vise dét, du vil fremhæve, i dine...
man 01 apr | Syddansk Universitet, Odense
Har du en grundlæggende forståelse for Excel, men vil gerne blive dygtigere til at bruge programmet, så har du nu chancen! På dette kursus kigger vi på en række af Excels avancerede funktioner. Vi vil have fokus på analyse af større mængder data, og du vil lære at udarbejde avancerede – men...
ons 03 apr | DTU, Ballerup
MATLAB for begyndere er for dig der vil have en grundlæggende introduktion til programmering i programmet. MATLAB er et værktøj som er meget anvendeligt i databehandling og analyse af større datamængder. Alle værktøjer har deres styrke, MATLAB’s styrke er at den er udviklet til databehandling,...
tor 04 apr
Lær at udnytte betinget og brugerdefineret format effektivt i Excel. Hovedemner på webinaret er: Find nålen i høstakken Brug betinget format som diagram Find afvigelserne med ikoner i betinget format Opret egne regler til betinget format Avanceret brug af betinget format Opret dine egne...
tir 09 apr | Aalborg Universitet
Most quantitative research projects involve both case-specific programming tasks as well as data analysis of a more standard nature. When working with quantitative data it is moreover essential to be able to do so in a systematic and reproducible manner with trustworthy software. This course aims...
tir 09 apr | Aalborg Universitet
This workshop series is meant to introduce webscraping: how to get data from the web. The series will both cover different types of scraping (using API’s, getting raw website data, getting data from social media platforms) as well as teach how to do it in either R or python.
ons 10 apr | Digital Social Science Lab, København
Introduktion til programmet NVivo 12, som er en stor hjælp til kvalitativ dataanalyse. NVivo kan bl.a. hjælpe dig med at organisere og kode din empiri og litteratur, generere hypoteser, transskribere din lyd/video og meget andet. Undervisningen tager udgangspunkt i PC-versionen af NVivo, hvor...
ons 10 apr | Københavns Universitetsbibliotek Nord
Del 2 af kurset Intoduktion til Python i KUB Nord: Data Lab. Event Organizer: Henrik Hornemann. Ingen tilmelding - bare mød op!
ons 24 apr | DTU Bibliotek, Lyngby
In corporation with the production company Cattenbaum, DTU Library is facilitating a workshop in visual storytelling, video and how to use social media platforms effectively. Video is present the most powerful and fastest growing form of communication in digital media – on websites and social media...
ons 24 apr | Københavns Universitetsbibliotek Søndre Campus
Learn about digital methods to contruct historical environments from censuses, newpapers, and photos to underpin reasearch in social and cultural history of ordinary people. Source material: We will provide you with source materials as historical newspapers, censuses, and photos. Software: Excel...
tor 25 apr | Københavns Universitet
The course offers a platform for students and researchers to start handling and managing their scientific data. The course gives a first impression of the possibilities of MATLAB and its structure, data handling, plotting facilities, and the beginning of programming. Introduction to MATLAB...
tor 25 apr | Københavns Universitet
A student who has met the objectives of the course will be able to: use statistical methods for data analysis in SAS, use SAS for simple data management and generate tables and figures for publications. The course covers fundamental use of the statistical software package SAS, from data handling...
man 29 apr | Aalborg Universitet
Lær at bruge statistikprogrammet STATA! Deltag i to introducerende workshops i programmet. Vi starter helt fra bunden og giver dig, hvad du skal bruge for at komme godt i gang.
man 29 apr | Digital Social Science Lab, København
Introduktion til programmet NVivo 12, som er en stor hjælp til kvalitativ dataanalyse. NVivo kan bl.a. hjælpe dig med at organisere og kode din empiri og litteratur, generere hypoteser, transskribere din lyd/video og meget andet. Undervisningen tager udgangspunkt i PC-versionen af NVivo, hvor...
tir 30 apr | Aalborg Universitet
Building on a basic knowledge of R, this workshop series teaches you how to work with textual data in R. The series will cover everything from reading text data into R, various text mining techniques to basic Natural Language Processing (NLP) algorithms.
tir 30 apr | Digital Social Science Lab, København
Excel er et stærkt talbehandlingsværktøj, der kan analysere og skabe overblik over store mængder data og vise dét, du vil fremhæve, i dine opgaver i form af tabeller og diagrammer. Vi introducerer Excels terminologi og gennemgår basisfunktioner, betinget formatering, sortering, tabeller, diagrammer...
tor 02 maj | Digital Social Science Lab, København
Vil du gerne have styr på Microsoft Excel, så kig forbi til vores workshop på biblioteket i Gothersgade. Fokus er på brug af Excel til opgaver og studiet. Excel er et stærkt talbehandlingsværktøj, der kan analysere og skabe overblik over store mængder data og vise dét, du vil fremhæve, i dine...
tor 02 maj
Lær at visualisere sammenhænge og skab overblik med diagrammer i Excel. Hovedemner på webinaret er: Nem oprettelse og tilpasning af standarddiagrammer Lær at oprette speedometre i Excel Lær at oprette infographics i Excel Lær at oprette vandfaldsdiagrammer i Excel Der vil være mulighed for at...
tir 07 maj | Aarhus Universitet
Graduate School of Science and Technology at Aarhus University Objectives of the course: The course aims to provide the basic tools to use Mixed Models (including Gaussian Linear Mixed Models, Models for Repeated Measures, Generalized Linear Mixed Models and simple Multivariate Generalized Linear...
tir 07 maj | Syddansk Universitet, Odense
The course will provide an introduction to the statistical software R for people with a basic knowledge of statistical concepts. R has become the lingua franca in statistics and many applied fields. The flexibility and large number of user-contributed packages makes it an extremely useful...
man 13 maj | Københavns Universitet
Learning objectives A student who has met the objectives of the course will be able to: understand and assess a Bayesian modelling strategy, and discuss its underlying assumptions understand and explain an adaptive design for Phase I/II trials and the associated decision-rule perform a Bayesian...
tir 14 maj | Aalborg Universitet
Many research projects involve scientific computing for analyzing [big] data and/or simulating complex systems. This makes it necessary to have a systematic approach to obtaining well-tested and documented code. Further, we see an increased interest in reproducible research, which allows other...
tir 28 maj | Syddansk Universitet, Odense
Advanced feature of R- using R for programming assessing data bases will be covered. Additionally, up to four topics will be chosen from the data-analytic problems of the students. After an introduction to these topics the students can work on the analysis under the supervision of the lecturers.
man 22 jul | Københavns Universitet
The modeling of equilibrium is crucial for the understanding of many real-world phenomena, e.g. functioning of energy markets and congestion in traffic networks. As a result, equilibrium problems arise in numerous areas of engineering and economics. This course will introduce the state-of-the-art...
tir 27 aug | Syddansk Universitet, Odense
Stata is a versatile statistical analysis software. It is an ideal tool to do basic as well as advanced statistical analyses. The course is intended for beginners, for those who want to brush-up their Stata skills, and for those with knowledge about statistical models or methods who want to know...
fre 13 sep | Aalborg Universitet
This course will provide the participants with hands-on experience in creating and handling data from questionnaires, patientforms, registers and other sources, and to document the data management and analyses in accordance with the Code of Conduct/UVVU recommendations. The course provides an...
tir 22 okt | Aarhus Universitet
The aim of the course is to introduce the student to the basic use of the software R. The course is designed to build up the basic skills in R necessary for attending to the course Basic Statistical Analysis for Life and Environmental Sciences.  At the end of the course, the student should be able...