Mathematics for Data Analysis and Modeling
Course
715 Learners Already enrolled- Grasp core mathematical concepts and definitions crucial for data analysis and system modeling.
- Acquire proficiency in linear algebra, mastering vectors, matrices and their numerical operations.
- Tackle matrix multiplication, inverses, transposes, and learn to calculate determinants and system of linear equations.
- Understand the fundamentals of mathematical analysis, including functions, series, derivatives, and optimization problems.
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There are 6 modules in this course
To study many applied disciplines, it is necessary to have basic knowledge of higher mathematics and linear algebra. Mathematics is often used in data analysis, system modeling, building machine learning models, etc. Let's look at some of the most important topics and learn how to use the mathematical apparatus to solve real problems.- Numerical Operations on Vectors and MatricesPreview
- Challenge: Calculate the Matrix Multiplication ResultPreview
- Matrix DeterminantPreview
- Scaling Factor of the Linear TransformationPreview
- Challenge: Figures' Linear TransformationsPreview
- Inversed and Transposed MatricesPreview
- System of Linear EquationsPreview
- Challenge: Solving the Task Using SLEPreview
- Eigenvalues and EigenvectorsPreview
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Recommended if you're interested in learning Python
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