The Leader in CFA® Review
Learning Outcome Statements
| a. state and explain steps in a data analysis project; |
| b. describe objectives, steps, and examples of preparing and wrangling data; |
| c. describe objectives, methods, and examples of data exploration; |
| d. describe objectives, steps, and techniques in model training; |
| 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. |