part of Course 101 Data Science Concepts
Machine learning is the attention hog of data science, but there are other important aspects:
data quality (cleaning),
visualization,
feature engineering, and
operationalization
(using models in practice).
I presented this during the Microsoft Machine Learning, Analytics and Data Science Conference in Redmond, WA, December 7, 2016 and The Data Science Conference in Chicago, IL, November 12, 2015.
The video has since been retired from YouTube, but here are the PDF slides [2MB]
January 11, 2016