Hands-on Python for Finance [Video]
Did you know Python is the one of the best solution to quantitatively analyse your finances by taking an overview of your timeline? This hands-on course helps both developers and quantitative analysts to get started with Python, and guides you through the most important aspects of using Python for quantitative finance.
You will begin with a primer to Python and its various data structures.Then you will dive into third party libraries. You will work with Python libraries and tools designed specifically for analytical and visualization purposes. Then you will get an overview of cash flow across the timeline. You will also learn concepts like Time Series Evaluation, Forecasting, Linear Regression and also look at crucial aspects like Linear Models, Correlation and portfolio construction. Finally, you will compute Value at Risk (VaR) and simulate portfolio values using Monte Carlo Simulation which is a broader class of computational algorithms.
With numerous practical examples through the course, you will develop a full-fledged framework for Monte Carlo, which is a class of computational algorithms and simulation-based derivatives and risk analytics.
The Github Link to this course is: https://github.com/PacktPublishing/Hands-on-Python-for-Finance-VStyle and Approach
We will use step-by-step tutorials that blend financial and programming concepts. Viewers will work along with the tutorial to create working examples.
|Course Length||5 hours 25 minutes|
|Date Of Publication||28 Feb 2019|
|NumPy – A Deeper Dive|
|Pandas – Part I|
|Pandas – Part II|
|Introduction to Scipy.stats|
|Matplotlib – Part I|
|Matplotlib – Part II|
|Monte Carlo Simulation|
|Using Monte Carlo Technique to Calculate Value at Risk|
|Putting It All Together – Monte Simulation Application|