Intro to Data Analysis Workflows in Python with Pandas

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Description

Research in the field of data science requires solid skills in managing and storing massive amounts of data as well as the ability to develop efficient mathematical algorithms for data analysis. These techniques are employed in complex applications in natural science, engineering and social science.

The specialized Master's degree programme in data science equips students with all relevant knowledge and skills while combining theoretical foundations with practical experience. A central part of the program is the Data Science Laboratory, where students tackle specific and practical problems of interdisciplinary applications. In this course students engage in all tasks - from the process modelling to the implementation and validation of data science techniques.Read more.

Career Relevance by Data Role

The techniques and tools covered in Master Data Science are most similar to the requirements found in Data Scientist job advertisements.

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