Using many of the most fundamental financial tools and algorithms we will cover practical business analytics through examples, going step by step to program them in Python from scratch. Also, we will cover how to use Python Data Analysis libraries and tools, including Matplotlib, NumPy, and Pandas to solve real-world business and financial problems.
The main idea of this two sessions workshop is to learn how to apply Python libraries Pandas, NumPy and Matplotlib for real-world tasks.
With this course, you will learn about the tools you need to successfully collect, analyze data and build financial models, improve your algorithmic trading strategies, and effectively manage risks. You will explore the various techniques used in solving complex problems commonly faced in finance with Python.
Anyone who would like to learn how to build financial models from scratch, who is thinking about a new career in the programming field or would like to boost a career with new skill, entrepreneurs who want to build web applications, and everyone who wants to know what practical programming is. We meet at 49W 33rd St. (Room 404, 4th Fl), New York, NY
You will learn:
- Pandas, NumPy and Matplotlib
- Read and write csv and excel files with Python
- Collect data and Data mining
- Create powerful visualizations with Python
- Manipulate data with Pandas
- How to store data with SQL Database
- How to build command-line applications
Prerequisites & Preparation:
- Python 3.5 or 3.6
- Text Editor