Mathematics for Data Analysis and Modeling
Curso
723 Estudiantes ya inscritos- 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.
Equipa tu negocio con tecnología de punta Datos e IA experiencia.
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Hay 3 módulos en este curso
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 MatricesVista previa
- Challenge: Calculate the Matrix Multiplication ResultVista previa
- Matrix DeterminantVista previa
- Scaling Factor of the Linear TransformationVista previa
- Challenge: Figures' Linear TransformationsVista previa
- Inversed and Transposed MatricesVista previa
- System of Linear EquationsVista previa
- Challenge: Solving the Task Using SLEVista previa
- Eigenvalues and EigenvectorsVista previa
- Derivative of the FunctionVista previa
- Partial Derivative of the FunctionVista previa
- Challenge: Solving Task Using DerivativeVista previa
- Optimization ProblemVista previa
- Challenge: Solving the Optimisation ProblemVista previa
- Gradient Descent MethodVista previa
- Challenge: Optimising Function Of Multiple VariablesVista previa
Elegido por estudiantes de las mejores escuelas
Por qué la gente elige Codefinity para su carrera

Kwizera Mugisha
The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Sherry Barnes-Fox
My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

Bill Wagner
I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan
As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea
I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening
The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.
Reseñas de estudiantes
5.0
7 reseñas
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Mostrando 3 de 7 reseñas
Saul Vione Winik
5
Revisado en Apr 2, 2025
Leo Lei
5
Revisado en Feb 9, 2025
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5
Revisado en Nov 1, 2024
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