How to become a Data Scientist

Steps to Become a Data Scientist

There are three general steps to becoming a data scientist:

  1. Earn a bachelor problem-solving in IT, computer science, math, physics, or another related field;
  2. Earn a master’s dagree in data or related field;
  3. Gain experience in the field you intend to work in (ex: healthcare, physics, business).

Data Scientist Education Requirements

There are many ways to make a carrier in data scientist, but it is impossible to make a carrier in data scientist without a college degree. People need at least a four-year bachelor’s degree. Only 73% of the professionals working in the industry have a graduate degree and 38% have a PhD.

Some schools offer data science degrees, which is an obvious choice. This degree will give you the necessary skills to process and analyze a complex set of data, and will involve lots of technical information related to statistics, computers, analysis techniques, and more. Most data science programs will also have a creative and analytical element, allowing you to make judgment decisions based on your findings. While a data science degree is the most obvious career path, there are also technical and computer-based degrees that will help launch your data science career. Common degrees that help you learn data science include:




Social science

Applied math


Candidate must have a wide range of skills to be a data scientist. These skills include experimentation, coding, quantitative problem-solving, handling large sets of data, and more.

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