[96% off] Python for Finance: Investment Fundamentals & Data Analytics

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Python for Finance: Investment Fundamentals & Data Analytics

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 ‘Python for Finance’ is the right course for you!  .

Who this course is for:

• Aspiring data scientists
• Programming beginners
• People interested in finance and investments
• Programmers who want to specialize in finance
• Everyone who wants to learn how to code and apply their skills in practice
• Finance graduates and professionals who need to better apply their knowledge in Python

The following tools and techniques will be covered in this course,

• Rate of return of stocks
• Risk of stocks
• Rate of return of stock portfolios
• Risk of stock portfolios
• Correlation between stocks
• Covariance
• Diversifiable and non-diversifiable risk
• Regression analysis
• Alpha and Beta coefficients
• Measuring a regression’s explanatory power with R^2
• Markowitz Efficient frontier calculation
• Capital asset pricing model
• Sharpe ratio
• Multivariate regression analysis
• Monte Carlo simulations
• Using Monte Carlo in a Corporate Finance context
• Derivatives and type of derivatives
• Applying the Black Scholes formula
• Using Monte Carlo for options pricing
• Using Monte Carlo for stock pricing

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

Course Detail

Offer Price:  $9.99
Original Price: $180
Title: Python for Finance: Investment Fundamentals & Data Analytics
Series: Video
Genre: Finance / Python
Author: 365 Careers
Publisher: Udemy
Format: Video Tutorial

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