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👨‍🔬️ Top 10 Data Scientist Skills Required in the Career

Mikhail Raevskiy
7 min readSep 5, 2020

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List of top 10 Data Scientist skills that guaranteed employment. As well as a selection of helpful resources to master these skills.

Top 10 Data Scientist Skills Required in the Career
Source: proglib.io

In the article “Data Scientist — 12 Steps From Beginner to Pro” I described how to master a profession from scratch. In this article, I will focus on the key skills required to become a Data Scientist.

💻Hard Skills💻

1. Mathematical base

Knowledge of machine learning techniques is an integral part of the Data Scientist job. Working with machine learning algorithms requires an understanding of the basics of calculus (for example, partial differential equations ), linear algebra, statistics (including Bayesian theory), and probability theory. Knowledge of statistics helps the Data Scientist to critically assess the significance of data. The mathematical base is also important in developing new solutions, optimizing and adjusting the methods of existing analytical models.

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Mikhail Raevskiy
Mikhail Raevskiy

Written by Mikhail Raevskiy

Bioinformatician at Oncobox Inc. (@oncobox). Research Associate

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