Gather Here. Go Far

With locations in Tahlequah, Muskogee and Broken Arrow, NSU is Oklahoma’s immersive learning institution. Choose from in-person, blended or online learning options.

Scholarships

NSU is committed to assisting students in applying and earning scholarships. Whether you are an incoming freshman or a continuing/returning student, NSU has a wide variety of scholarship options for students to choose from.

Clubs and Organizations

From networking to leadership opportunities, NSU’s over 80 clubs and organizations allow our students to build lasting relationships while getting the full college experience.

Transfer Students

Whether you’re an incoming or current transfer student, NSU’s transfer advisors are available to assist you with transcript evaluation, information on degree programs and support services. NSU is where You Belong.

Graduate College

Whether transitioning to graduate school or returning to higher education, NSU’s graduate college is your next step. Choose from over 25 master's degrees and several certificate programs.

Data & Human Resource Management

Big data and data analytics are changing how businesses run and managers do their jobs. In this course, you will explore how human resource managers use data to provide better support to the employees they manage and to contribute to the strategic practices of their organizations. You will learn about different kinds of data and analyses, and you will consider how data collection and organization may factor into problem-solving processes. We will also review issues pertaining to data collection and employee privacy and confidentiality.

Learning Outcomes

  • Explain the value of big data and analytics for human resource managers
  • Identify different types of data that are useful for human resource managers
  • Describe various ways of analyzing data
  • Perform simple data analyses and understand some basic analytic tools
  • Develop a plan for collecting data
  • Understand the advantages and disadvantages of certain data types and collection methods
  • Distinguish between correlation and causation
  • Identify some biases and errors data collection may be subject to
  • Present data in clear and compelling ways
  • Consider the advantages and disadvantages of different ways to store data
  • Reflect on some of the threats of big data, including threats to confidentiality and privacy as well as the potential for discrimination

Key Features

  • Expert-supported Mobile-friendly Accessible Badge and
  • credit-awarding Games & Flashcards
  • Video content Real-world case studies
  • Audio-enabled in app

Refund Policy
You may request a refund up to 5 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

  • 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.
  • This course does not require any additional purchases of supplementary materials.
  • 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.