Quant Finance Essentials using Python C++ & MATLAB

We look into Key Quantitative Finance, using programming, step – by step !

Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 912 MB | Duration: 2h 14m

What you’ll learn

• 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

Requirements

There are no requirements. We learn, step by step, by doing.

Description

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.

Above, you can find the link that will get you to the course on a discounted price, so that you don’t pay the price that Udemy asks for. The link expires so use it while it is available!

—— 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.

Who this course is for

• Academics
• Enterpreneurs
• Quants
• Postgraduate and PhD Students