Description
Investment Analysis & Portfolio Management with Python, course Investment Analysis and Portfolio Management with Python is published by Udemy Academy. Explore powerful Python modules including Pandas, NumPy, Matplotlib, Seaborne and many others that work extensively with real financial data. Discover the simplicity and power of Python for finance. Clean and sort real data by creating functions. Take the guesswork out of the portfolio management process with math as the backbone.
Explore and master the relationships between stock prices, returns, and risk. Assess and measure your investment risk. Determine what your portfolio management financial advisor should do to manage your investments. while knowing that How to code, no prior financial knowledge required. We use the same proven teaching methods that have helped thousands of students around the world. In this course, we intend to help you master one of the most important concepts in the financial field and turn it into a portfolio management.
What you will learn
- Calculate stock returns manually as well as in Python, using real data obtained from open sources.
- Understand how equations work and what they mean – even if your math is weak.
- Estimate the expected return of stocks using the averaging method, state-adjusted weighted probabilities, as well as asset pricing models.
- Measure the performance of your investment portfolio by calculating portfolio return and risk.
- Create custom functions to automate investment analysis and portfolio management techniques using the power of Python.
- Working with various Python libraries including Pandas, NumPy, SciPy, Matplotlib.
- Learn the power of diversification and how your portfolio can be less risky than the individual assets that make up the portfolio.
- Calculate the company’s total risk, market risk, and stock-specific risk, and examine how the various risks interact.
- Optimize your portfolios by maximizing returns while minimizing risk.
- Explore calculations from scratch to understand how Python works behind the scenes.
Who is this course suitable for?
- High-level university students looking to increase their competitive advantage and enhance their skills.
- Financial managers eager to use conceptual techniques including portfolio design using Python.
- Investors who want to work with techniques that are heavily rooted in academic and professional literature.
- Analysts and aspiring investors who want to gain a solid foundation in investment analysis.
- Anyone who wants to learn investment analysis and portfolio management with Python
Details of the Investment Analysis & Portfolio Management with Python course
- Publisher: Yudmi
- teacher: Fervent #LearnWithDistinction
- English language
- Education level: all levels
- Number of courses: 46
- Training duration: 9 hours and 5 minutes
Chapters of the Investment Analysis & Portfolio Management with Python course
Course prerequisites
- 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 what lists, dictionaries, and tuples are; and you know the difference between strings, integers, and floats.
- This is a Finance course which uses Python. It is NOT a Python course about Finance.
- No prior knowledge of finance is required nor assumed.
- It’s okay if math freaks you out. Seriously. Every single equation is explained one variable at a time. We rip it apart to its core, and show you how simple it really is.
- Knowledge of basic statistical analysis is useful but NOT essential.
- You’ll need a calculator, pen and paper (seriously), and your development environment (eg Jupyter Notebooks, Text Editors)
- We work with Jupyter Notebooks in the course, but .py versions of all Python code are available for download.
Images of Investment Analysis & Portfolio Management with Python
Sample video
Installation guide
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English subtitle
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download link
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