In the Python for Trading course, students will learn how to use Python programming language to analyze financial data and develop algorithmic trading strategies. The course will cover topics such as data manipulation, statistical analysis, and visualization using Python libraries like pandas, numpy, and matplotlib. Students will also learn how to handle and analyze real-time market data, implement trading strategies, and backtest their algorithms. The course is designed for individuals interested in quantitative finance, algorithmic trading, and financial data analysis. Upon completion, students will have the skills to apply Python to the financial industry and gain a competitive edge in the trading world.
Learn moreHas discount |
![]() |
||
---|---|---|---|
Expiry period | Lifetime | ||
Made in | English | ||
Last updated at | Thu Aug 2024 | ||
Level |
|
||
Total lectures | 16 | ||
Total quizzes | 0 | ||
Total duration | 07:46:05 Hours | ||
Total enrolment |
![]() |
||
Number of reviews | 0 | ||
Avg rating |
|
||
Short description | In the Python for Trading course, students will learn how to use Python programming language to analyze financial data and develop algorithmic trading strategies. The course will cover topics such as data manipulation, statistical analysis, and visualization using Python libraries like pandas, numpy, and matplotlib. Students will also learn how to handle and analyze real-time market data, implement trading strategies, and backtest their algorithms. The course is designed for individuals interested in quantitative finance, algorithmic trading, and financial data analysis. Upon completion, students will have the skills to apply Python to the financial industry and gain a competitive edge in the trading world. | ||
Outcomes |
|
||
Requirements |
|