Udemy – Investment Analysis & Portfolio Management with Python 2022-1

Udemy – Investment Analysis & Portfolio Management with Python 2022-1 Downloadly IRSpace

Apr 17, 2025 - 10:26 Updated: Apr 20, 2025 - 18:25

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Udemy – Investment Analysis & Portfolio Management with Python 2022-1

Explore Python’s robust modules including Pandas, NumPy, Matplotlib, Seaborn, and a whole lot more, working extensively with real world Finance data.Discover the simplicity and power of Python for Finance. Take command by creating your own functions, cleaning and wrangling real world data. Remove the guesswork by conquering the mathematics behind your own Investment Analysis & Portfolio Management process. Explore and master powerful relationships between stock prices, returns, and risk. Quantify and measure your investment risk, from scratch.

Discover what your financial advisor should be doing to manage your portfolio – to manage your investments. While you do need to know how to code, there’s no prior Finance knowledge required. We’ll start you from the very basics, and build you to a financial analysis PRO, leveraging Python for Finance,

What you’ll learn

Calculate stock returns manually as well as on Python, using real world data obtained from free sources.
Extensively work with a variety of Python libraries including Pandas, NumPy, SciPy, Matplotlib, to name a few.
Understand why the math works, and what the equations mean – even if your math is weak and if math freaks you out.
Witness the power of diversification and how the risk of your portfolio can be lower than the individual assets that make up the portfolio!
Estimate the Expected Returns of Stocks using the Mean Method, State Contingent Weighted Probabilities, as well as Asset Pricing Models.
Calculate the total risk, market risk, and firm specific risk of stocks from scratch, and explore how the different risks interact.
Measure your investment portfolio’s performance by calculating portfolio returns and risks.
Optimise your portfolios by maximising your returns while minimising your risk.
Create custom functions to automate your Investment Analysis & Portfolio Management techniques, leveraging the power of Python.
Explore computations from scratch, so you understand how Python works behind the scenes.

Who this course is for

Ivy League / Russell Group University students looking to increase their competitive advantage and enhance their skills.
Finance Managers keen on applying conceptual techniques including portfolio design using Python.
Investors wanting to work with techniques that are rigorously grounded in academic and practitioner literature.
Analysts, and aspiring Investment Bankers wanting to gain a solid foundation in investment analysis.
Anyone who wants to learn investment analysis and portfolio management with Python!

Specificatoin

Publisher :Udemy
Teacher : Fervent #LearnWithDistinction
Language : English
Level : All levels
Number of Course : 46
Duration : 9 hours and 5 minutes

Content

Investment Analysis & Portfolio Management with Python

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 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 (e.g. Jupyter Notebooks, Text Editors)
We work with Jupyter Notebooks in the course, but .py versions of all Python code is available for download.