Data Science Applied Project

Code: OLRN1514

Course description

In this capstone course, students work through a full data cycle to verify data, develop visualizations of multivariate data, and construct predictive analytics visualizations. In this hands-on project-based course, students perform exploration, analysis and prediction processes while using appropriate visualization, reporting techniques and best practices to present findings and recommendations to stakeholders.

Course details

Hours: 42
Credits: 3
Corequisites: None

Build courses into a credential

This course is part of the following program(s):


Credit transfer

Have you taken this course or an equivalent course?
Contact the Credit Transfer Office.


Delivery Options

Classroom Delivery: In-person instruction that takes place at a college campus.
Online Delivery: Content is delivered entirely online through self-directed components, allowing you the flexibility to learn anytime from wherever you are.
Remote Delivery: Technology-enabled virtual instruction that takes place outside of a physical classroom. Remote delivery includes some form of scheduled real-time virtual classes or drop-in times, as well as self-directed components.
Hybrid Delivery: Instruction that includes a combination of online or remote delivery, and some classroom activities.

Registration dates

Not all courses are offered each term.

Fall 2021 registration opens July 5, 2021. Winter 2022 registration opens November 1, 2021.