Enroll Course: https://www.udemy.com/course/python-financial/
For anyone looking to dive deep into the world of financial analysis and algorithmic trading using Python, the “Python for Financial Markets Analysis” course on Udemy is an absolute game-changer. Taught by an instructor with over 17 years of experience at Bloomberg, this course promises to equip you with the essential skills to navigate and analyze financial markets data with Python.
The course begins with the fundamentals, covering everything from importing large datasets to understanding the core libraries that are indispensable in finance. You’ll get hands-on experience with powerful tools like Jupyter, NumPy for high-speed numerical processing, Pandas for efficient data manipulation, and Matplotlib for creating insightful visualizations. The instructor also introduces you to Statsmodels, yfinance, Plotly, and Cufflinks, ensuring you have a robust toolkit for your analytical endeavors. The flexibility of learning environments is also a plus, with the course utilizing Jupyter notebooks, Google Colab, and Visual Studio.
What truly sets this course apart is its extensive coverage of practical financial analysis techniques. You’ll learn to import and work with single and multiple stock data, including fundamental data and even streaming real-time prices. The course delves into advanced topics like Pandas Time Series analysis, including indexing, filling, and resampling. You’ll master rate of return analysis for various instruments, create custom financial indexes, and build your own technical indicators like Squeeze Momentum and Point and Figure. Furthermore, the course guides you through creating trading strategies based on these indicators, exploring stock statistics, identifying best and worst return months, building custom stock screeners, and even developing a web-based candlestick pattern screener using Flask.
The practical application doesn’t stop there. The course also covers portfolio analysis using Pyfolio and creating interactive data apps with Streamlit. The instructor’s real-world experience is evident throughout, with all code, models, and workflows being project-proven. As a best-selling author on Udemy with other highly-rated courses, his expertise in both finance and coding is clearly demonstrated.
Given the depth of content, the practical, real-world applications, and the instructor’s impressive background, “Python for Financial Markets Analysis” is a highly recommended course for anyone serious about leveraging Python for financial analysis and trading. The 30-day money-back guarantee further solidifies this recommendation, making it a risk-free investment in your financial and analytical skills.
Enroll Course: https://www.udemy.com/course/python-financial/