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Soft Skills > Learn Soft Skills Training > What field requires (+) math, (+) programming, (-)...
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What field requires (+) math, (+) programming, (-) presentation skills?

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Fields that typically require: - Strong math skills (+) - Proficiency in programming (+) - Less emphasis on presentation skills (-) include: 1. Data Science (focus on data analysis, modeling, and machine learning) 2. Algorithmic Trading (developing trading strategies and models) 3. Computational...
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Fields that typically require: - Strong math skills (+) - Proficiency in programming (+) - Less emphasis on presentation skills (-) include: 1. Data Science (focus on data analysis, modeling, and machine learning) 2. Algorithmic Trading (developing trading strategies and models) 3. Computational Biology (applying computational tools to biological data) 4. Cryptography (developing secure encryption algorithms) 5. Scientific Computing (simulations, modeling, and data analysis) 6. Machine Learning Engineering (building predictive models) 7. Signal Processing (analyzing and processing signals) 8. Computational Physics (simulating physical systems) 9. Numerical Analysis (developing numerical methods for solving mathematical problems) 10. Software Development (focus on backend development, infrastructure, or tools) Keep in mind that while presentation skills might be less emphasized, they are still valuable in these fields for communicating ideas, collaborating with colleagues, and documenting work. read less
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Fundamentals of Programming languages and Data Science

Web development and software engineering
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Driving Excellence Through Effective Communication

A field that typically requires strong mathematical and programming skills while not emphasizing presentation skills as much is theoretical computer science or certain specialized roles in software development or data analysis. In these roles, professionals often focus more on complex problem-solving,...
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A field that typically requires strong mathematical and programming skills while not emphasizing presentation skills as much is theoretical computer science or certain specialized roles in software development or data analysis. In these roles, professionals often focus more on complex problem-solving, algorithm development, and mathematical modeling, where the emphasis is more on technical proficiency and less on frequent presentations or communication to non-technical audiences.

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