Data Science from Maryland Applied Graduate Engineering at the University of Maryland

Data Science

The purpose of this course is to teach some of the best and most general approaches to get the most out of data through clustering, classification, and regression techniques. Students will gain experience analyzing several kinds of data, including document collections, financial data, scientific data, and natural images.

Course Overview

Overall Proficiency Level

3 - Advanced

Course Prerequisites

N/A

Training Purpose

Functional Development

Skill Development

Specific Audience

All

Delivery Method

Classroom

Online, Instructor-Led

Online, Self-Paced

Course Location

4356 Stadium Drive
College Park, MD 20742

Course Location Map

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Course and Provider Quantity

Classroom
Online, Instructor-Led
Online, Self-Paced

Learning Objectives

Complete a data science project, from inception to presentation. Apply data analysis techniques to data using Python. Structure and execute hypothesis testing experiments. Train and evaluate supervised models. For more information, review the Creating Meaningful Learning Objectives module.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Competency Areas

Asset Management

Work Roles

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.