Big Data Projects
Free CFA Level II lesson in Quantitative Methods. 13 min read, ~1,968 words.
Data types: structured (fixed schema, relational DB), semi-structured (tags but flexible (JSON, XML), unstructured (no format) text, images, audio). Data preparation (wrangling) consumes 60, 80% of project effort: cleaning, transforming, restructuring. Listwise deletion is only safe when data is missing completely at random (MCAR). Systematic missingness requires imputation or model-based...
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What this lesson covers
- Content
- Example 1
- Example 2
- Common Mistakes
- Key Takeaways
- Exam Shortcuts
Learning objectives
- big data projects
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