Quant Finance Essentials using Python C++ & MATLAB
Updated on
Course overview
- Provider
- Udemy
- Course type
- Paid course
- Level
- All Levels
- Duration
- 2 hours
- Lessons
- 16 lessons
- Certificate
- Available on completion
- Course author
- Dr. Spyros Giannelos .
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- This is a course that provides some fundamental coding tutorials especially for those aiming for a Quant career.
- The coding practices are focused on Matlab and on C++
- Understand what Stochastic Optimization is, and specifically what scenarios are and what is "uncertainty" and sources of uncertainty.
- Understand the different levels of Uncertainty
- Implement Monte Carlo Simulations
- Model the histograms of different distributions
Description
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We are looking at some fundamental coding tutorials especially for those aiming for a Quant career in Finance since these are topics that frequently come up. Since these topics come up often, we are looking at them, not through theory, but through practice.
------ Specifically, frequently ignored topics are addressed in this course. We avoid theory and jump straight into application. And, essentially, we learn by doing.
------ We are using Matlab and C++. Python will be added later (the course is constantly being upgraded).
----- Probability quizzes are based on understanding what probability is. And how it can be calculated in pratice.
The probabilities are calculated in a simple way and - most of all - intuition comes first.
----- Both Matlab and C++ are fundamental skills for many career paths. But these languages are huge , so it is much better to focus on specific applications, instead of learning them from scratch. One can only remember as much!
We are learning the software FICO Xpress Optimization;
This enables you to implement quickly the new material . We will learn how to do all this from scratch.
So let's delve into the course.
We go step-by-step through engaging video tutorials and teach you the fundamental concepts that you need for your career journey.
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