Python for Finance Investment Fundamentals & Data Analytics Last updated 42020
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8.5 hours | English + SRT Files | 1.47 GB | mp4 | 1280x720 | 423 kb/s | aac, 48000 Hz, 2 channels
What you'll learn
Learn how to code in Python
Take your career to the next level
Work with Python's conditional statements, functions, sequences, and loops
Work with scientific packages, like NumPy
Understand how to use the data analysis toolkit, Pandas
Plot graphs with Matplotlib
Use Python to solve real-world tasks
Get a job as a data scientist with Python
Acquire solid financial acumen
Carry out in-depth investment analysis
Build investment portfolios
Calculate risk and return of individual securities
Calculate risk and return of investment portfolios
Apply best practices when working with financial data
Use univariate and multivariate regression analysis
Understand the Capital Asset Pricing Model
Compare securities in terms of their Sharpe ratio
Perform Monte Carlo simulations
Learn how to price options by applying the Black Scholes formula
Be comfortable applying for a developer job in a financial institution
Requirements
You'll need to install Anaconda. We will show you how to do it in one of the first lectures of the course
All software and data used in the course is free
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