Learning Outcome Statements PDF Download
|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.
I passed! I did not get a chance to tell you before the exam - but your site was excellent. I will definitely take it next year for Level II.
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