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Investment Analysis & Portfolio Management with Python

Investment Analysis & Portfolio Management with Python

Investment Analysis & Portfolio Management with Python - 
Financial Analysis Done Right - Rigorously Analyse Investments & Manage Portfolios using Python for Finance / Investing

Created by Fervent #LearnWithDistinction, Support from Fervent

Say hello to Financial Analysis done right. Become a PRO at Investment Analysis & Portfolio Management with Python. Apply robust techniques that are rigorously grounded in academic and practitioner literature using Python for Finance.

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, thanks to:

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.

Preview this Course


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