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This question is about data scientist and data scientist jobs.
The qualifications for a data scientist include the right combination of educational credentials, programing skills, statistics, and business acumen.
After all, a data scientist is part mathematician, part computer scientist, and part business strategist, and as such, they must have expertise in several different disciplines at once.
This complex skillset means that data scientists must consistently have one foot in the information technology sector and another planted firmly in the business world.
If available, the most sought-after majors for data science are statistics, computer science, information technologies, mathematics, or data science.
Educational credentials have an impact on your ability to get a job working as a data scientist. However, it's not the only path; over 75% of data scientists have at least a master's in data science, and another 38% have a Ph.D. in a related area like mathematics or computer science.
However, if you have a bachelor's degree in a related area and a good understanding of computers and mathematics, there are other options.
There are enough resources online to teach you most of the core concepts that you need to master. In addition, there are many online programs specifically for data science that include online courses, materials, and certifications.
Overall, a data scientist should have a large range of computer-related abilities. including:
Mastering a Programming Language (R or Python)
Proficient in applied mathematics (LA, Stats, Prob)
Understand Machine Learning and Deep Learning
Hands-on work experience (e.g., internship, online competition)
Ability to build end-to-end projects with competitive data science
In addition, a data scientist must be proficient in mathematics, numeracy, and have a deep understanding of statistical theory. Plus, knowledge of SAS and Other Analytical Tools is important. Finally, having business acumen and good communication skills play a big part in being a good data scientist.

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