You should also be familiar with a few math skills, as understanding a few machine learning algorithms and discovering patterns requires knowledge of linear algebra and calculus. But don't be frightened; if you understand probability and statistics, you'll be able to succeed in data science.
First, we must understand Causality and Experiments, after which we must deal with Data Preprocessing, which covers a wide range of topics, so let's get started.
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