Learning Outcome Statements PDF Download
|1. Steps in Executing a Data Analysis Project|
identify and explain steps in a data analysis project;
|2. Data Preparation and Wrangling|
describe objectives, steps, and examples of preparing and wrangling data;
|3. Data Exploration Objectives and Methods|
describe objectives, methods, and examples of data exploration;
|4. Model Training|
describe objectives, steps, and techniques in model training;
|5. Financial Forecasting Project: Classifying and Predicting Sentiment for Stocks|
describe preparing, wrangling, and exploring text-based data for financial forecasting;
describe methods for extracting, selecting and engineering features from textual data;
evaluate the fit of a machine learning algorithm.
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