Use of Analytics
Delivery Method:
Contact Hours:
Registration:
Course Description:
Type: self-paced, online Access Time: 365 days from enrollment
Description:
Learning Objectives:
Explain how human resources professionals use people analytics; Differentiate between HR analytics, people analytics, human capital analytics, and workforce analytics; Compare descriptive analytics, diagnostics analytics, predictive analytics, and prescriptive analytics; Explain case studies where analytics is used to achieve strategic goals; Explore the advantages of using data analysis in different parts of the employee lifecycle; Identify and explain commonly-used HR metrics; Explore different sources of data collection, including applicant tracking system (ATS), candidate relationship management (CRM), and human resource information system (HRIS); Explain ethical practices of collecting, storing, using, and analyzing data; Describe how analytics supports collaboration; Compare different modes of communicating and presenting data
Contact Hours: This course is worth (4) hours of continuing education credit
CEUs: .4
Key Features:
Mobile-friendly
Fully accessible
Interactive activities
Video content
Real-world case studies
Expert-supported
Credit-awarding
Refund Policy: You may request a refund up to 7 days from the purchase date. The registration fee will only be refunded if less than 10% of the course has been completed. Completion percentage can be viewed on the Course Progress page from within the course.
Notes:
Estimated time to complete: 4 hours
This course has an “Ask the Expert” feature, which submits your questions directly to an expert in the field you are studying. Questions are answered as quickly as possible and usually within 24 hours.
Learners must achieve an average test score of at least 70% to meet the minimum successful completion requirement and qualify to receive IACET CEU credit. Learners will have three attempts at all graded assessments.
This course is neither created nor hosted by NASPO. By clicking on the link to begin this course, you will be redirected from NASPO’s Learning Management System to the course site maintained by a third party for which NASPO expressly disclaims any warranty or liability. Furthermore, the viewpoints reflected or expressed in the course materials are the viewpoints solely of the course creator, and do not reflect the viewpoints of NASPO or its staff.

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Tools of Data Analysis