Introduction to Financial Data Science
Free CFA Level I lesson in Quantitative Methods. 9 min read, ~1,408 words.
Big data has 4 Vs: volume, velocity, variety, veracity. Alternative data (satellite, social, transactions) is the investment-management workhorse. Supervised ML needs labeled data (regression, classification). Unsupervised ML finds structure in unlabeled data (clustering, dimension reduction). Overfitting = model memorizes noise. Defenses: train/validation/test splits, cross-validation, regularization. AI is the umbrella. ML...
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What this lesson covers
- Content
- Example 1
- Example 2
- Common Mistakes
- Key Takeaways
- Exam Shortcuts
Learning objectives
- introduction to financial data science
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