Python and Statistics for Financial Analysis (Free Online Course) : “Python and Statistics for Financial Analysis” is an essential guide that combines the power of Python programming with statistical methods to analyze financial data effectively. Python, with its rich libraries like Pandas, NumPy, and Matplotlib, enables users to automate data processing, create detailed visualizations, and perform complex calculations. When paired with statistical techniques—such as regression analysis, hypothesis testing, and probability distributions—it provides deep insights into market trends, portfolio performance, and risk assessment. This approach helps finance professionals make informed decisions based on data-driven insights, offering a powerful toolkit for analyzing financial markets and managing investments.
What You Will Learn?
| Module 1 – Visualizing and Munging Stock Data |
| Module 2 – Random variables and distribution |
| Module 3 – Sampling and Inference |
| Module 4 – Sampling and Inference |
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Skills You Will Gain
- Financial Data Analysis
- Financial Analysis
- Python Programming
- Statistical Analysis
- Data Visualization
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