Data Scientists Manipulate Data You can’t build an effective machine learning pipeline if your data isn’t well structured. You can’t build a decent visualization if your data isn’t in good shape. There just isn’t much you can deliver if your data is a mess.
Data Science is definitely a cool field to work in. There are amazing advances happening in the field and it is changing the world. We hear a lot about hot acronyms like ML, AI and NLP. These advanced techniques are truly awesome but the reality of our world is that a significant part of a data scientist’s job is spent cleaning and manipulating data. Before you can build the cool deliverable, you need to collect data and wrangle it into shape and clean out the muck.
Author: Owen Flanagan
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