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Python Mathematics and Stock

Track :

Programming

Lessons no : 55

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What will you learn in this course?
  • Master Python libraries like NumPy and Pandas for advanced mathematical computations in stock analysis
  • Apply Python to analyze stock market data and identify investment opportunities effectively
  • Develop algorithms for stock price prediction using Python and machine learning techniques
  • Implement data visualization tools in Python to interpret stock trends and market patterns
  • Utilize Python to perform technical analysis and generate actionable trading signals
  • Create automated scripts for stock data scraping, cleaning, and preprocessing in Python
  • Build predictive models for stock market forecasting with Python-based statistical methods
  • Evaluate stock performance metrics using Python to inform investment decisions
  • Integrate Python with financial APIs for real-time stock market data analysis
  • Design backtesting frameworks in Python to validate trading strategies and algorithms
  • Leverage Python to optimize stock portfolio management and risk assessment
  • Apply Python programming skills to develop comprehensive stock market analysis tools

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Lessons | 55
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