Investment Analysis & Portfolio Management with Python

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:6 SECTIONS TO MASTERY (plus, all future updates included).Introduction: Understanding Investment Security Relationships & Estimating ReturnsExplore powerful relationships between risk, return, and price.Gain a solid command of the baseline fundamental law of Financial Analysis - The Law of One Price.Calculate stock returns for dividend and non-dividend paying stocks, manually.Download and work with real world data, and estimate stock returns on Python from scratch.Estimating Expected ReturnsEstimate expected returns using the average (mean) method.Create your own function on Python to automate the estimation of Expected Returns using the mean method.Estimate ex