Python for Financial Analysis and Algorithmic Trading
This product hasn't been reviewed yet! Be the first to share your experience.
Top alternatives
Reviews, Scores & Student Outcomes
Unclaimed ProfileThis comprehensive course bridges the gap between financial theory and practical algorithmic trading using Python. Designed by Jose Portilla and Pierian Training, it serves as an essential guide for finance professionals, data analysts, and aspiring quantitative traders who want to leverage modern programming libraries to analyze market data. Students will start with foundational Python libraries like NumPy and Pandas, mastering data manipulation, cleanup, and visualization. The curriculum then dives deep into critical financial mathematics and statistics, teaching you how to compute portfolio allocations, calculate Sharpe ratios, analyze cumulative returns, and understand core theories like the Capital Asset Pricing Model (CAPM) and the Efficient Market Hypothesis (EMH). Furthermore, you will tackle advanced time series analysis utilizing statsmodels, Exponentially Weighted Moving Averages (EWMA), and ARIMA models to forecast financial trends. Whether you aim to optimize personal investment portfolios or build a career in quantitative finance, this course provides the systematic, hands-on coding experience required to design, backtest, and evaluate sophisticated algorithmic trading strategies with absolute confidence.
About the creator
Jose Portilla, Pierian Training
View full profileNot found
—
Reviews
Jose Portilla serves as the Head of Data Science at Pierian Training and stands as one of the world's most prominent online instructors in Python, data science, and web development. Holding both a Bachelor's and Master's degree in Mechanical Engineering from Santa Clara University, he transitioned his deep analytical background into technical education and professional consulting. Jose's teaching style is characterized by its high-quality, practical approach, emphasizing active learning through hands-on code-along videos, comprehensive Jupyter Notebook exercises, and real-world project builds. Rather than relying on dry theory, he guides students step-by-step through complex concepts like neural networks, algorithmic trading, time…Show more
Ratings & reviews
This product hasn't been reviewed yet! Be the first to share your experience.
Not enough reviews yet
0 reviews
Rating breakdown
Results mentioned in reviews are individual experiences and are not guaranteed or typical.
Program Overview
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Use NumPy to quickly work with Numerical Data
- Use Pandas for Analyze and Visualize Data
- Use Matplotlib to create custom plots
- Learn how to use statsmodels for Time Series Analysis
- Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..
- Use Exponentially Weighted Moving Averages
- Use ARIMA models on Time Series Data
- Calculate the Sharpe Ratio
- Optimize Portfolio Allocations
- Understand the Capital Asset Pricing Model
- Learn about the Efficient Market Hypothesis
- Conduct algorithmic Trading on Quantopian
Best For
- Finance professionals looking to transition into data-driven quantitative roles
- Data analysts who want to apply Python libraries to financial datasets
- Aspiring algorithmic traders wanting to learn backtesting and portfolio optimization
- Python developers interested in time series analysis and market forecasting
Not For
- Beginners with zero experience in Python programming or data manipulation
- Individuals seeking a course on high-frequency trading infrastructure or execution systems
- Investors looking for 'get rich quick' day trading advice or stock picking tips
- People without a foundational interest in statistics or quantitative mathematics
What's included
Still confused?
Get a reply from the creator within 24 hours.
Top alternatives
Compare Similar Python Programs
Not sure Python for Financial Analysis and Algorithmic Trading is the right fit? See how it stacks up against the top-rated alternatives in python, all rated by verified students.
More categories
Before you buy
Compare alternatives
See how Python for Financial Analysis and Algorithmic Trading stacks up against top-rated programs in python.
Compare nowRun a credibility check
Use AllPros Guru Detector to review trust signals before you spend.
Open Guru Detector