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There are as many different approaches as there are different people operating in the market.
Many existing tools support the most common ones, but if you really want to succeed with innovative practices, you'll have to build your own.
Due to its characteristics, Python is being adopted by the Financial Industry as its reference programming language.
But Python is not expensive like other financial tools, in fact it is completely free. And it is not difficult to learn. So why not give it a try?
Learn how to apply Python to Trading and Investments with this Practical Course.
Ipython/Jupyter Work Environment
Main Data Analysis Libraries
How to import/export Financial Data
Cleansing and adequacy of data
Different Projects applying this knowledge
Improve your Programming and Investing skills at the same time.
Whether you are interested in programming, or already programs, and you are interested in Finance and Investments. Or if you are already a Finance professional and are interested in applying programming to your career. Is this course for you.
In addition to using this knowledge in your investments, new opportunities will open up for you if you are able to successfully combine these two disciplines.
The volume of data is increasing at speeds not seen before. And new algorithms and tools are necessary to get the most out of it. It's hard to imagine a more promising skill in your career than learning how to manage and analyze data through programming.
Content and Overview
This course will start with a review of the main Python Libraries used for Data Analysis.
Due to the easy to read Python syntax no prior experience is necessary, although it will help.
The main objective is to focus on the application of this language to financial and investment concepts. Therefore, not much time will be spent explaining common functions and data structures. The student can always, however, send any questions to the instructor and if necessary, new lessons will be added by answering the most frequently asked questions.
The best way to learn is by doing. So in the second part of the course, real applications with the complete code will be developed. You can test them and modify them with the parameters you want and even propose new ones. Building, in this way, a community around the course that will help us grow individually.
New projects will be added periodically in the future, but the course will go up in price accordingly. So enroll now, it will be your best investment!
Who is this course for?
Programmers or those interested in learning finance with a focus on Finance
Finance professionals interested in learning programming
Anyone interested in learning both Python programming and Finance basics
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