Feature Engineering for Improving Learning Environments
Heads up! This course may be archived and/or unavailable.
How can data-intensive research methods be used to create more equitable and effective learning environments? In this course, you will learn how data from digital learning environments and administrative data systems can be used to help better understand relevant learning environments, identify students in need of support, and assess changes made to learning environments.
This course pays particular attention to the ways in which researchers and data scientists can transform raw data into features (i.e., variables or predictors) used in various machine learning algorithms. We will provide strategies for using prior research, knowledge from practice, and logic to create features, as well as build and evaluate machine learning models. The process of building features will be discussed within a broader data-intensive research workflow using R.
Get a Reminder
Rating | Not enough ratings |
---|---|
Length | 3 weeks |
Effort | 5 - 7 hours per week |
Starts | Jul 23 (301 weeks ago) |
Cost | $99 |
From | University of Texas at Arlington, UTArlingtonX via edX |
Instructor | Andrew E. Krumm |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Education |
Tags | Data Analysis & Statistics Education & Teacher Training |
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Dynamics Engineer (Environments) $10k
Learning Services $59k
Corporate Environments Designer $63k
Assistant Co-Teacher of Facilitating Learning Environments & Classroom Management $63k
Creative Director of Brand Environments $72k
Learning Chair $78k
Associate Art Director, Retail Environments $92k
Space Environments Engineer $103k
Senior Environments Analyst $117k
Senior Marketing Manager, Branded Environments and Sponsorships $118k
Sales Manager, Safety & Controlled Environments Products $125k
Project Manager, Virtual Environments $138k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | Not enough ratings |
---|---|
Length | 3 weeks |
Effort | 5 - 7 hours per week |
Starts | Jul 23 (301 weeks ago) |
Cost | $99 |
From | University of Texas at Arlington, UTArlingtonX via edX |
Instructor | Andrew E. Krumm |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Education |
Tags | Data Analysis & Statistics Education & Teacher Training |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course