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Data Processing and Preparation

Before data can be used for increased awareness, decision support and knowledge discovery, it must be transformed from its raw state into one that is valid, usable and applicable to a particular problem. This half-day workshop provides a first pass look at some of the many different elements of data processing: data transformation, data validation, data cleaning and dealing with missing data, as well as some of the typical considerations and issues that arise at each of these data processing stages.

Category: Practical Data Analysis
Tag: Machine Learning and AI 101
Product Code: AI-2
Course Duration (hours): 3

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