Data Analytics of Stock Price Movements with Python: Statistical Techniques in Python Applied to Security Analysis

本简短的课程将向您介绍数据API和第三方Python库。它提供了有关采购，清理和分析数据的动手示例，使您可以了解如何利用Python来增强统计分析。您将使用NumPy，pandas和Matplotlib进行可视化，并了解技术分析中使用的预测技术。在对数据转换有了深入的了解之后，您将学习使用蒙特卡洛模拟来估计微分值。将数据转换为信息将为您提供可用于做出短期投资决策的想法。最后，您将使用统计和技术技术来分析证券价格的变动。

Video: .MP4, 1920×1080 30 fps | Audio: AAC, 48 kHz, 2ch | Duration: 1h 25m
Genre: eLearning | Language: English + Subtitles | Size: 1.45 GB

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.

What You Will Learn
Create financial application programming interfaces
Use NumPy, pandas, and Matplotlib for data analysis and visualization
Apply forecasting techniques to predict derivative values
Extract and transform data in Python
Who This Video Is For

Experienced Python developers who’d like to leverage the power of Python for financial data analysis and security.