## Wednesday, September 30, 2020 ## Discount FREE 100% Off

### Python for Financial Analysis and Algorithmic Trading

Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!

### What you'll learn?

• Understand the Capital Asset Pricing Model
• Use NumPy to quickly work with Numerical Data
• Learn how to use statsmodels for Time Series Analysis
• Use Exponentially Weighted Moving Averages
• Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..
• Use Matplotlib to create custom plots
• Calculate the Sharpe Ratio
• Learn about the Efficient Market Hypothesis
• Conduct algorithmic Trading on Quantopian
• Use Pandas for Analyze and Visualize Data
• Optimize Portfolio Allocations
• Use ARIMA models on Time Series Data

### Requirements and What you should know?

• Basic Statistics and Linear Algebra will be helpful
• Some knowledge of programming (preferably Python)

### Who is this course for?

• Someone familiar with Python who wants to learn about Financial Analysis!

### What is this course about?

Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading, then this is the right course for you!

This course will guide you through everything you need to know to use Python for Finance and Algorithmic Trading! We'll start off by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more!

We'll cover the following topics used by financial professionals:

• Python Fundamentals
• NumPy for High Speed Numerical Processing
• Pandas for Efficient Data Analysis
• Matplotlib for Data Visualization
• Using pandas-datareader and Quandl for data ingestion
• Pandas Time Series Analysis Techniques
• Stock Returns Analysis
• Cumulative Daily Returns
• Volatility and Securities Risk
• EWMA (Exponentially Weighted Moving Average)
• Statsmodels
• ETS (Error-Trend-Seasonality)
• ARIMA (Auto-regressive Integrated Moving Averages)
• Auto Correlation Plots and Partial Auto Correlation Plots
• Sharpe Ratio
• Portfolio Allocation Optimization
• Efficient Frontier and Markowitz Optimization
• Types of Funds
• Order Books
• Short Selling
• Capital Asset Pricing Model
• Stock Splits and Dividends
• Efficient Market Hypothesis

To get a course with a coupon code given by the instructor, you can click or touch the following button.

If the coupon code above doesn't work, check the FAQ page to find out more about coupon codes.

course-id:9a7322eb-73ff-472f-b582-d4db7c733c5b
course-coupon-id:6be42886-cf23-4915-b8d0-4cfa7eac582a