Time-Series-and-Financial-Engineering-With-Python
Basic-Statistics-With-Python
Time-Series-and-Financial-Engineering-With-Python | Basic-Statistics-With-Python | |
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1 | 1 | |
45 | 89 | |
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1.2 | 10.0 | |
about 1 year ago | almost 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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Time-Series-and-Financial-Engineering-With-Python
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Python for Econometrics for Practitioners [Free Online Courses]
Time Series, Financial Engineering and Algorithmic Trading with Python: This is a compound training sessions of time series analysis, financial engineering and algorithmic trading, the Part I covers basic time series concepts such as ARIMA, GARCH ans (S)VAR, also cover more advanced theory such as State Space Model and Hidden Markov Chain. The Part II covers the basics of financial engineering such bond valueation, portfolio optimization, Black-Scholes model and various stochatic process models. The Part III will demonstrate the practicalities, e.g. algorithmic trading. The training will try to explain the mathematical mechanism behind each theory, rather than forcing you to memorize a bunch of black box operations.
Basic-Statistics-With-Python
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Python for Econometrics for Practitioners [Free Online Courses]
Basic Statistics with Python: These notes aim to refresh the essential concepts of frequentist statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand. We were spending roughly three hours in total to cover all sections.
What are some alternatives?
Econometrics-With-Python - Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
Linear-Algebra-With-Python - Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Bayesian-Statistics-Econometrics - Bayesian Statistics-Econometrics