Do you ever feel that the data you need for your research is accessible but it’s not in a convenient table, such as company reports or building plans?

Perhaps the information you need is spread out across many different documents?

If only we could read and extract structured data from thousands of written documents. 

In this course, we explore how to accomplish this task by combining web scraping, Optical Character Recognition (OCR), and Natural Language Processing (NLP). Over four weeks, we provide online lessons and interactive sessions to learn the fundamentals of these key technologies.

Computer science is a key component for data science applications and research data management as methods and procedures rely on it. For instance, to enable fast access to information, data sets must be stored efficiently in data structures. Clever modelling and algorithmic processing hereby guarantee a fast search and selection of information of even big data sets. This course will provide insights into computer science basics and gives an overview about relevant topics for data science.