Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.
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 statistical toolbox for almost any data analysis and visualization problem. […]
This 3-day course aims at introducing to biomedical researchers a foundational understanding of genomics, epigenomics and transcriptomics, laboratory techniques, and motivating practical applications in disease and health researches. Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
The aim of the Ph.D. course is to give a comprehensive introduction to research methods used in the different phases of the innovation process for digital health technologies such as telehealth, home monitoring, mHealth, video consultation, artificial intelligence, clinical robots, etc. Thus, Ph.D. students will during the course learn about relevant research methods and their […]
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 how to implement them in Stata. It is specifically about using Stata rather than explaining statistical concepts or methods. Disclaimer:DDSA has explicit permission from Arcanic and […]
Over the last five to ten years machine learning (ML) methods has gained widespread use with both sports and health data. ML methods can be used with both accelerometry or heart rate data for health or sports purposes or for simple clinical studies to find important patterns in the data. The possibilities seem almost endless. […]
The participants will through creating a data management plan be introduced to central elements of data management in research projects, workflows, relevant legislation, principles and standards for data documentation and data control, preparing quantitative data for analysis and relevant legislation in relation to management and safekeeping of research data. Disclaimer:DDSA has explicit permission from Arcanic […]
The etiology of complex diseases concerns not only the DNA sequence variation of a gene, but most importantly also the functional regulation of the gene triggered by specific environmental stimuli. Epigenetics is a newly emerging field of genetic study that focuses on the dynamic aspects of gene activity regulation under given environmental conditions, a very […]
The following elements will be dealt with: -Aspects that are common for most research designs (e.g. research questions, study material, data retrieval, and approach to statistical analysis) -Specific 'needs' for various research designs (e.g. the differences between observational and association studies, cross-sectional and prospective studies, cohort studies and comparative studies) - Important issues to ensure […]
REDCap is an increasingly popular browser-based database platform for data collection in clinical research. It offers an intuitive user interface for building custom data collection instruments for clinical research projects. Instruments can be filled by the researchers themselves, or can be enabled as surveys that can be filled by project participants themselves. With complete audit […]