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Python for Finance: Investment Fundamentals & Data Analytics

Link : Python for Finance: Investment Fundamentals & Data Analytics

Python for Finance: Investment Fundamentals and Data Analytics [Video]. 365 Careers. October 2018. 6 hours 59 minutes. Learn Python ...BESTSELLER

Python for Finance: Investment Fundamentals & Data Analytics
4.5 (6,983 ratings)
40,263 students enrolled
Created by 365 Careers

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

Do you want to learn how to use Python in a working environment?

Are you a young professional interested in a career in Data Science?

Would you like to explore how Python can be applied in the world of Finance and solve portfolio optimization problems?

If so, then this is the right course for you!

We are proud to present Python for Finance: Investment Fundamentals and Data Analytics – one of the most interesting and complete courses we have created so far. It took our team slightly over four months to create this course, but now, it is ready and waiting for you.
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