Explanation
Explore powerful Python components including Pandas, NumPy, Matplotlib, Seaborn, and more, working extensively with real-world financial data. Discover the simplicity and power of Python in Finance. Take command by creating your own tasks, cleaning and wrangling with real-world data. Remove the guesswork by mastering the math behind your Investment Analysis & Portfolio Management Process. Explore and master the powerful relationships between stock price, return, and risk. Quantify your investment risk, starting from zero.
Find out who your financial advisor is it must be done to manage your portfolio – to manage your investments. While you need to know how to code, no prior financial knowledge is required. We’ll start with the basics, and build on financial analysis PRO, leveraging Python for Finance,
What will you learn?
- Calculate stock returns manually as well as in Python, using real-world data from free sources.
- Work extensively with various Python libraries including Pandas, NumPy, SciPy, Matplotlib, to name a few.
- Understand why math works, and what equations mean – even if your math is weak or if you struggle with math.
- Witness the power of diversification and how your portfolio risk can be lower than the individual assets that make up the portfolio!
- Estimating Expected Stock Returns Using Median Methodology, Regional Weighted Probability, and Asset Pricing Models.
- Calculate total risk, market risk, and stock-specific risk from scratch, and explore how different risks interact.
- Measure the performance of your investment portfolio by calculating portfolio return and risk
- Optimize your portfolio by maximizing your returns while minimizing your risk.
- Create custom functions to automate your Investment Analysis & Portfolio Management techniques, leveraging the power of Python.
- Explore computing from scratch, to understand how Python works behind the scenes.
Who is this course for?
- Ivy League/Russel Group University students are looking to increase their competitive advantage and enhance their skills.
- Financial managers like to use conceptual techniques including designing portfolios using Python.
- Investors who want to work with techniques that are firmly rooted in academic and professional literature.
- Analysts, and aspiring Investment Bankers who want to have a solid foundation in investment analysis.
- Anyone who wants to learn investment analysis and portfolio management in Python!
Instructions
The essence
Requirements
- Coding knowledge is required. You don’t need to be an ‘expert’ in Python, but you do need to know how to code.
- At a minimum, we assume you know lists, dictionaries, and tuples are; and you know the difference between strings, filters, and floats.
- This is a Finance course that uses Python. It is NOT a Python course on Finance.
- No prior knowledge of Finance is required.
- It doesn’t matter if maths bothers you. Actually. Each equation is defined for one variable at a time. We break it down to the core and show you how easy it really is.
- Knowledge of basic statistical analysis is beneficial but not essential.
- You will need a calculator, pen and paper (really), and your development environment (eg Jupyter Notebooks, Text Editors)
- We work with Jupyter Notebooks for the course, but .py versions of all Python code are available for download.
Pictures
Sample Clip
Installation Guide
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file size
2.48GB