
Applied & Advanced Mathematics
About Course.
Mathematics is more than just numbers—it’s a powerful tool used in science, technology, engineering, data analysis, and real-world problem-solving. At Nomad Math, we offer specialized courses in applied and advanced mathematics for students, professionals, and researchers looking to deepen their mathematical understanding and apply it in practical fields.
Our expert-led sessions focus on mathematical modeling, computational mathematics, data science, and engineering applications, making this an ideal course for those pursuing STEM careers, academic research, or advanced studies.
Teaching Methods.
Live 1-on-1 & Group Coaching with experts
Coding & Computational Tools for Practical Learning
Case Studies & Research-Based Applications
Real-World Simulations & Project-Based Learning
Personalized Curriculum Based on Student’s Career Goals
What Will I Learn?
- Introduction to Python for Math & Data Analysis
- Numerical methods & algorithms
- Linear algebra & matrix computations
- Simulation & modeling with computational tools
- Creating & interpreting mathematical models
- Applied statistics & machine learning basics
- Optimization & decision-making models
- Real-world case studies in biology, finance, and physics
- Population dynamics & epidemiological models
- Mathematical techniques in genetics & bioinformatics
- Computational neuroscience & systems biology
- Differential equations in biological systems
- Advanced calculus & vector analysis
- Differential equations & their real-world applications
- Fourier series & Laplace transforms
- Mathematical physics & fluid dynamics
Course Content
What We Offer
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Computational Mathematics & Programming (For Data Science, AI & Engineering)
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Mathematical Modeling & Data Science Applications (For Research & Industry Applications)
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3. Biomathematics & Applications in Science (For Biology, Medicine, and Research Fields)
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Engineering & Physics Mathematics (For Engineering & Physical Sciences Students/Professionals)
About the instructor
9 Courses
0 students