Python for Finance: Investment Fundamentals & Data Analytics By 365 Careers
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About 365 Careers
365 Careers
View full profileData Science & Finance · Sofia, Bulgaria
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Finance professional, worked at PwC, Coca-Cola European Partners, and Infineon Technologies; co-founder of 365 Data Science
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Python for Finance: Investment Fundamentals & Data Analytics · Program
About this program
Python for Finance: Investment Fundamentals & Data Analytics
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What you'll learn in Python for Finance: Investment Fundamentals & Data Analytics
- 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
What's Included in Python for Finance: Investment Fundamentals & Data Analytics
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