Size: 984.91 MB
Learn Python Programming and Conduct Real-World Financial Analysis in Python – Complete Python Training
What you’ll learn
- Learn how to code in Python
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Take your career to the next level
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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.
Description
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?- 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
- This course will teach you how to code in Python and apply these skills in the world of Finance. It is both a Programming and a Finance course.
- High-quality production – HD video and animations (this isn’t a collection of boring lectures!)
- Knowledgeable instructors. Martin is a quant geek fascinated by the world of Data Science, and Ned is a finance practitioner with several years of experience who loves explaining Finance topics in real life and here on Udemy.
- Complete training – we will cover all the major topics you need to understand to start coding in Python and solving the financial topics introduced in this course (and they are many!)
- Extensive Case Studies that will help you reinforce everything you’ve learned.
- Course Challenge: Solve our exercises and make this course an interactive experience.
- Excellent support: If you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day.
- Dynamic: We don’t want to waste your time! The instructors set a very good pace throughout the whole course.
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
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