CS 227 - Data Communication and Authoring Research

3.0 Credits
Evaluate business domains to which data analytics can be applied, translate business questions into data questions, and formulate analysis plans.Demonstrate communication techniques used to influence business stakeholders including authoring presentations to a leadership audience, and writing technical papers to convey research & analytics findings.This course is part of the Data Analytics for Professionals program.
Course-level Learning Objectives (CLOs)
Upon successful completion of this course, students will be able to:

Integrate end-to-end the scientific method of answering business questions with data and machine learning models. Evaluate frameworks such as the Cross-Industry Standard Process for Data Mining (CRISP-DM).
Use the Pyramid Principle to structure communications and to influence stakeholders to make data-informed decisions.
Exercise data visualization skills including design of static graphs and charts, and interactive dashboards.
Practice developing presentations and writing papers to convey information from analyses, models and research.

Course Typically Offered
Winter