Python for Financial Analysis and Algorithmic Trading is a training course on how to use the Python language for financial analysis and algorithmic trading provided by the Udemy website. If you are also curious about how to use Python to accurately manage financial analysis and you want to get acquainted with algorithmic trading, this course will be perfect for you. This course teaches all the topics needed to use Python financially and introduces you to the most important tools.
You will learn the basics of Python at the beginning of the course and then get acquainted with the best libraries used in the financial ecosystem such as jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian and so on. The instructor uses the NumPy library for fast numerical processing, the Pandas library for efficient data analysis, and the Matplotlib for data visualization, and teaches you other useful tools in financial analysis.
Things to be taught in this course:
- Use NumPy to work with numeric data
- Use the Pandas library to analyze and visualize data
- Use Matplotlib to create custom designs
- Use situation models to analyze time sequences
- Calculate financial statistics
- Use of ARIMA models on time sequence data
- Calculate Sharpe Ratio
- Familiarity with the efficient market hypothesis
- Algorithmic transaction management
Python for Financial Analysis and Algorithmic Trading course specifications:
- English language
- Duration: 16 hours and 38 minutes
- Number of courses: 120
- Level of education: Intermediate
- Instructor: Jose Portilla
- File format: mp4
Prerequisites for Python for Financial Analysis and Algorithmic Trading:
- Some knowledge of programming (preferably Python)
- Ability to Download Anaconda (Python) to your computer
- Basic Statistics and Linear Algebra will be helpful
After Extract, watch with your favorite Player.
Version 2020/2 has one minute less time compared to 2019/5. Of course, the previous version was 2018/11.
Version 2020/4 has decreased by 1 lesson and 1 minute compared to 2020/2.
The 2020/12 version is about 16 minutes shorter than the 2020/4 version.