Mathematics for Data Analysis and Modeling
Cursus
90 Al ingeschreven studenten- 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.
Voorzie je bedrijf van toonaangevende Data en KI expertise.
Deel het op sociale media en in je functioneringsgesprek
Er zijn 3 modules in deze cursus
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 MatricesVoorbeeld
- Challenge: Calculate the Matrix Multiplication ResultVoorbeeld
- Matrix DeterminantVoorbeeld
- Scaling Factor of the Linear TransformationVoorbeeld
- Challenge: Figures' Linear TransformationsVoorbeeld
- Inversed and Transposed MatricesVoorbeeld
- System of Linear EquationsVoorbeeld
- Challenge: Solving the Task Using SLEVoorbeeld
- Eigenvalues and EigenvectorsVoorbeeld
- Derivative of the FunctionVoorbeeld
- Partial Derivative of the FunctionVoorbeeld
- Challenge: Solving Task Using DerivativeVoorbeeld
- Optimization ProblemVoorbeeld
- Challenge: Solving the Optimisation ProblemVoorbeeld
- Gradient Descent MethodVoorbeeld
- Challenge: Optimising Function Of Multiple VariablesVoorbeeld
Gekozen door studenten van de allerbest scholen
Waarom mensen kiezen voor Codefinity voor hun loopbaan

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.
Aanbevolen als je geïnteresseerd bent in lerenPython
Omarm de fascinatie voor technologische vaardigheden! Onze KI-assistent biedt realtime feedback, persoonlijke tips en foutuitleg, zodat je met vertrouwen leert.
Met Werkruimten kun je projecten direct op ons platform creëren en delen. We hebben sjablonen voor je klaargezet.
Neem de controle over je carrièreontwikkeling en begin aan je pad naar beheersing van de nieuwste technologieën
Projecten uit de praktijk tillen je portfolio naar een hoger niveau, met praktische vaardigheden om werkgevers te imponeren




Volledige toegang tot de catalogus
Één abonnement geeft je toegang tot deze cursus en onze gehele catalogus van projecten en vaardigheden.Je abonnement omvat ook:
Veelgestelde vragen
Heeft u nog vragen?
Schrijf je vraag hier