Becoming a successful data scientist without knowledge and acumen in mathematics or statistics is highly improbable as these are the fundamental blocks of data science. All statistical models, optimization algorithms, machine learning algorithms, classification techniques, etc. are based out of mathematical and statistical concepts specifically linear algebra. Although tools such as Python & R have pre-defined commands to cater to these functionalities; still a data scientist needs to understand the basics of these concepts.

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