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ENBIS/JMP Short course: Data Quality and Data Preparation Workflows
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Europe/Amsterdam
Description
Data Quality and Data Preparation Workflows
Speaker:
Volker Kraft, JMP, Principal Academic Ambassador
Date: Nov 26th, 2 pm CET
Abstract:
Data preparation typically consumes well over half of the effort in any analytics project, and it is where analyses succeed or fail. No model can compensate for data that is incomplete, inconsistent or poorly understood. And while AI can accelerate many downstream tasks, deciding what "good data" means for a given question still takes domain knowledge and statistical judgment.
This online short course shows how JMP supports the path from raw data to analysis-ready data within a single interactive environment. We will look at how to bring data in, how to assess its quality (missing values, outliers, inconsistent categories, data type issues) and how to clean and correct it efficiently. Because preparation and exploration happen side by side, problems become visible early and can be fixed on the spot. Every step can be documented and reproduced in a JMP workflow, and the prepared data can be analyzed in JMP or handed over to any other software.
The course combines short conceptual input with live demonstrations on realistic, messy data sets. It is aimed at analysts, engineers, researchers and educators; no JMP knowledge is required.
Bio:
Volker Kraft is Principal Academic Ambassador for JMP in Europe, fostering and supporting the use of JMP in teaching and research. He holds a Ph.D. in Electrical Engineering and used statistical methods extensively in his research in communication acoustics. In later positions he developed a passion for customer advocacy. Drawing on this experience and the success of JMP's Academic Program globally, Volker is charged with enabling academics in Europe to get the most from JMP.