| Description |
1 online resource (86 minutes) |
| Summary |
This brief course will introduce you to data APIs and third-party Python libraries. It provides hands-on examples on procuring, cleaning, and analyzing data, allowing you to learn how Python can be leveraged to enhance your statistical analysis. You will make use of NumPy, pandas, and Matplotlib for visualizations and also go through forecasting techniques used in technical analysis. After gaining insights on data transformation, you will learn to estimate derivative values using Monte Carlo simulation. Transforming data into information will give you ideas that can be used to take short-term investment decisions. In conclusion, you will use statistical and technical techniques for analyzing security price movement. Create financial application programming interfaces Use NumPy, pandas, and Matplotlib for data analysis and visualizationApply forecasting techniques to predict derivative values Extract and transform data in Python |
| Notes |
Title from resource description page (viewed March 4, 2021) |
|
In English |
| Subject |
Python (Computer program language)
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Application program interfaces (Computer software)
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Stock price forecasting.
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Information visualization.
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Visual analytics.
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APIs (interfaces)
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Application program interfaces (Computer software)
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Information visualization.
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Python (Computer program language)
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Stock price forecasting.
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Visual analytics.
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| Genre/Form |
Instructional films.
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Instructional films.
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Films de formation.
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| Form |
Streaming video
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| Author |
Macarty, Matthew, speaker
|
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Springer Nature (Firm), publisher
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