Skip to content
#

wgu

Here are 38 public repositories matching this topic...

Data Mining I expands predictive modeling into nonlinear dimensions, enhancing the capabilities and effectiveness of the data analytics lifecycle. In this course, learners implement supervised models—specifically classification and prediction data mining models—to unearth relationships among variables that are not apparent with more surface-leve…

  • Updated May 28, 2022
  • HTML

A mega guide to the tasks and completion of the WGU C968 performance assessment task. This is NOT an actual assignment, but a comprehensive guide provided by program mentors, instructors, and staff on separate accounts and consoldiated into one easy step-by-step guide to completing your PA.

  • Updated Nov 1, 2023

WGU Masters Data Analytics. Exploratory Data Analysis covers statistical principles supporting the data analytics life cycle. Students in this course compute and interpret measures of central tendency, correlations, and variation. The course introduces hypothesis testing, focusing on application for parametric tests, and addresses communication …

  • Updated Oct 11, 2021
  • Jupyter Notebook

Predictive Modeling builds on initial data preparation, cleaning, and analysis, enabling students to make assertions vital to organizational needs. In this course, students conduct logistic regression and multiple regression to model the phenomena revealed by data. The course covers normality, homoscedasticity, and significance, preparing studen…

  • Updated May 28, 2022
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the wgu topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the wgu topic, visit your repo's landing page and select "manage topics."

Learn more