Once data is gathered for data science it is often in an unstructured or raw format. Data must be filtered for content and validity. In this course, you'll explore examples of practical tools and techniques for data filtering.
Individuals with some programming and math experience working toward implementing data science in their everyday work
Expected Duration (hours)