CFA Level 2: Study Session 3. Quantitative Methods (2)

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	1. Steps in executing a data analysis project a. state and explain steps in a data analysis project;
	2. Data preparation and wrangling b. describe objectives, steps, and examples of preparing and wrangling data;
	3. Data exploration objectives and methods c. describe objectives, methods, and examples of data exploration;
	4. Model training d. describe objectives, steps, and techniques in model training;
	5. Financial forecasting project: classifying and predicting sentiment for stocks e. describe preparing, wrangling, and exploring text-based data for financial forecasting; f. describe methods for extracting, selecting and engineering features from textual data; g. evaluate the fit of a machine learning algorithm.

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