Short Courses in Computer Science & IT

Data Science & Big Data

Suggested Short Courses in Data Science & Big Data

Short Course Exploring Cultural Big Data – Combining arts, ethnography, and data analytics

In technical terms Cultural Big Data can be seen as both structured statistical data, semistructured data retrievable from e.g. open data in municipalities and cultural institutions, and data generated by users and audience on social media or through sensor rich environments. The Exploring Cultural Big Data – Combining arts, ethnography, and data analytics course is offered at Aarhus University.

AU Summer University
Short Course Big Data for Health

There is a fundamental skills gap in the field of eHealth and the integration of Big Data within healthcare. As these fields move constantly every day, the ability for professionals to keep abreast of the latest research and how to apply methods in product management is challenging.

Certificate Survey Research: Design, Implementation and Data Processing

Changes in technology and society strongly influence modern survey research. This Survey Research: Design, Implementation and Data Processing course at Utrecht Summer School covers the essentials of modern survey methodology and analysis and is organized by the Department of Methodology and Statistics in collaboration with Statistics Netherlands (CBS).

Faculty of Social and Behavioural Sciences (UU)
Certificate Data Science and Research Methods

In this Data Science and Research Methods Summer School at RWTH International Academy, participants acquire hands-on research skills in topics such as philosophy of science, qualitative research, grounded theory. These skills will prove most helpful for designing and conducting empirical research projects for instance as part of your PhD research, master thesis or later professional life.

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Data science and big data refers to manipulating data using mathematic and algorithmic methods to solve complex problems analytically. The data science and big data discipline covers models, methods, tools and techniques in dealing with various types of data. As a part of competitive intelligence, this new emerging field is considered a great asset from a business point of view. One of the most important aspects of data science and big data is that it can convert data into clear information and knowledge that is understandable by audiences without a scientific background.

The data science and big data discipline is strongly connected with computer science and IT, engineering and business and applied mathematics.

Courses provided to students in data science and big data cover topics such as: databases and relational algebra, visual data analytics, different types of machine learning, visual encodings and statistical rigor.

Studying data science and big data, students will acquire solid mathematical skills as well as strong business strategy thinking. Data inference and exploration requires competence of tactical optimisation and attention to detail in order to extract relevant insights from high quantities of raw information. Students also gain basic skills like analytical rigor and ability to explain the significance of data in a way that can be easily understood by others.

The type of careers data science graduates pursue include: statistician, quantitative analyst, decision support engineering analyst.

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