The first part covers data formats, from what are the first steps with new data, how to handle outliers and missing data and presenting results of first analysis.
Introduction to Data Science I [pdf]
The second part covers Machine and Deep learning, Supervised, semi-supervised, unsupervised, self-supervised learning and Standard machine learning and deep learning use cases
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