Enroll Course: https://www.udemy.com/course/python-financial/
Are you looking to dive into the world of financial markets analysis and algorithmic trading using Python? If so, the ‘Python for Financial Markets Analysis’ course on Udemy, taught by an instructor with over 17 years of experience at Bloomberg, is an absolute must-have.
This comprehensive course is designed for anyone interested in leveraging Python for rigorous financial data analysis. It starts with the fundamentals of financial markets data and importing large datasets, then smoothly transitions into the core libraries essential for finance professionals. You’ll become proficient with Jupyter notebooks, Google Colab, and Visual Studio as you work through practical examples.
The syllabus covers an impressive range of topics. You’ll master Python fundamentals, NumPy for high-speed numerical processing, and Pandas for efficient data manipulation. Data visualization comes alive with Matplotlib, and you’ll delve into advanced Pandas time series analysis techniques, including indexing, filling, and resampling. The course also provides in-depth coverage of Statsmodels, importing financial data (both single and multiple stocks, including fundamental data), and even working with streaming real-time data.
What truly sets this course apart is its practical application. You’ll learn to create interactive financial charts using Plotly and Cufflinks, use annotations to tell compelling data stories, and perform detailed time series analysis. The curriculum extends to calculating rates of return for various instruments, creating custom financial indexes, and developing your own technical indicators like Squeeze Momentum and Point-and-Figure. Furthermore, you’ll explore building trading strategies based on these indicators, conducting peer analysis, and even creating your own stock screener.
The instructor’s credibility is undeniable, with a decade and a half of experience at Bloomberg and a track record of building successful financial analytics companies. Their expertise is reflected in the real-world, project-proven code and workflows shared throughout the course. As a best-selling Udemy author with multiple successful courses under their belt, their teaching style is both engaging and effective.
Whether you want to analyze stock statistics, identify best and worst performing months, build a web-based candlestick pattern screener using Flask, or even implement algorithmic trading strategies like ‘Buy Low, Sell High,’ this course has you covered. It also touches upon portfolio analysis with Pyfolio and creating interactive data apps with Streamlit.
With a 30-day money-back guarantee, there’s no risk in investing in your financial analysis skills. This course is an invaluable resource for aspiring quants, data analysts, traders, and anyone seeking to gain a competitive edge in the financial markets. Highly recommended!
Enroll Course: https://www.udemy.com/course/python-financial/