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This course will start with a review of main Python libraries to use for Data Analysis. Although due to the readability of Python it is not necessary to have previous knowledge of it. It is recommended at least to have a previous contact with it. The main goal is to focus in the application of it to Finance concepts. So not much time will be addressed to common functions or data structures. You will be able, anyway, to send any doubt to the Instructor and if necessary new lectures will be upload replying most frequently asked questions.
The best way to learn is doing. So in the second part of the course, actual applications with the complete code will be developed. You will be able to test and modify them with your desired parameters or strategies and even propose new ones. Building, in this way, a community around the course that will help us to grow up individually.
- Ipython Working Environment.
- Main Data Analysis Python Libraries.
- How to import/export Financial Data.
- Data Munging.
- Customized Charts.
- Different Projects applying this knowledge.
- And more.