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.