ScaDS.AI-Tutorial: Data Preparation for Data Analysis – Part 1

The term Data Analysis or Data Mining describes the systematic application of statistical methods to identify structures, dependencies, and relationships in sometimes very large data sets and to gain new knowledge, where computer-aided methods are used in the individual process steps. The content and scope of the respective steps depend, among other things, on the problem domain, the analysis goal, and other technical aspects like the available data sources or the representation of the data. A relevant process step is the preprocessing of these data (data preparation) to increase their quality for the subsequent analysis.

In this part of the training, various aspects of the Data Mining process and data preparation will be examined theoretically as well as practically using an example data set and working through prepared Jupyter Notebooks. It covers the restructuring and indexing of the data as well as the detection and handling of missing values.

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