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 am using your study notes and I know of at least 5 other friends of mine who used it and passed the exam last Dec. Keep up your great work!
My Own Flashcard
No flashcard found. Add a private flashcard for the reading.