Data Exploration

Data Exploration


Talking about data analysis, one may be tempted to think that data usually come refined and ready for use; but in reality, real-world data rarely comes clean. It is the data analyst that will data from various sources, assess its quality and tidiness, then clean it where necessary. In this course, you will learn the process of gathering, assessing, and cleaning data for analysis.

By the end of this course, you would be able to assess data visually and programmatically using SPSS. Examine content validity index(CVI), distinguish between dirty data and messy data, identify issues and categorize them using metrics as well as validity, accuracy, completeness, consistency, and uniform in your data.

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