Introduction to Financial Data Science

Free CFA Level I lesson in Quantitative Methods. 10 min read, ~1,484 words.

Big data has 4 Vs: volume, velocity, variety, veracity. Alternative data (satellite, social, transactions) is the investment-management subset and workhorse. Supervised ML needs labeled data and predicts known targets; unsupervised ML finds hidden structure in unlabeled data (clustering, dimension reduction). Regression predicts continuous outcomes; classification predicts discrete categories (default vs...

What this lesson covers

• Content
• Example 1
• Example 2
• Common Mistakes
• Check Your Understanding
• Exam Shortcuts

Learning objectives

• introduction to financial data science

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