Python for Financial Analysis and Algorithmic Trading Course includes 16.5 hrs video content and enrolled by 111,424 students and received a 4.4 average review out of 5. Now, you will get 90%OFF on the original price of the course and discount price differs from country to country, and the course provider offers 30-days money-back guarantee! If you are not satisfied in any way, you’ll get your money back.
What you’ll learn
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Use NumPy to quickly work with Numerical Data
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Use Pandas for Analyze and Visualize Data
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Use Matplotlib to create custom plots
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Learn how to use statsmodels for Time Series Analysis
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Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..
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Use Exponentially Weighted Moving Averages
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Use ARIMA models on Time Series Data
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Calculate the Sharpe Ratio
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Optimize Portfolio Allocations
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Understand the Capital Asset Pricing Model
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Learn about the Efficient Market Hypothesis
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Conduct algorithmic Trading on Quantopian
Who this course is for:
- Someone familiar with Python who wants to learn about Financial Analysis!
Can I download Python for Financial Analysis and Algorithmic Trading course?
Course videos can be downloaded for offline viewing using the Udemy mobile app on Android and iOS. Some courses may allow downloading lectures on a computer only if the instructor has enabled it, but this is not guaranteed and is not the primary method Udemy supports.Can I get a certificate after completing the course?
Yes. After successful completion of the Python for Financial Analysis and Algorithmic Trading, learners will receive a certificate of completion. The certificate confirms that the course has been completed and can be downloaded and shared on resumes or professional profiles.Are there any other coupons available for this course?
Additional coupons for this course may be available from time to time. Coupon availability is time-limited and may change or expire at any time, so it’s recommended to check regularly for updated offers.Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
