Learning Outcome Statements

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.