Whatever your profession. Whatever your field. As a professional, and certainly as a leader, you will be asked to make a decision based on data. This training course will introduce the different types of decisions made in an organizational setting, why quantitative analytics is important, and how data quality can affect decision making. Since quantitative analytics is used in various settings, this intermediate-level course also offers insight into how research is used in different sectors. From a management perspective, the course highlights appropriate quantitative methods and ways to ensure quality and accuracy through research design.
Completion Time
5 hours
Access Time
90 Days
Outcome
Individual Skill Course
Language
English
Training Level
Beginner
Delivery Information:
Online
Asynchronous
Self-paced
Description
Learning Outcomes
After completing this course, the learner should be able to:
- Explain the value of big data and analytics
- Discuss the types of decisions that can be made analytically in an organizational setting
- Describe different decision making models and tools
- Identify the fundamental concepts of measurement including levels of measurement, reliability and validity, errors, measurement and information bias
- Distinguish between independent and dependent variables
- Describe methods of ensuring the quality of data
- Explain data management techniques including transforming data, recoding data, and handling missing data
- Identify some biases and errors data collection may be subject to
- Distinguish between correlation and causation
- Apply appropriate decision making techniques to a specific case
Additional Information
This course includes an “Ask the Expert” feature. You can use this feature to submit questions about course content. A subject matter expert will provide guidance or point you to additional resources for the topics you’re 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 CEUs.
Requirements
Technology Requirements
Hardware Requirements: This course can be taken on either a PC, Mac, or Chromebook.
Software Requirements: Software must be installed and fully operational before the course begins.
- PC: Windows 8 or later.
- Mac: macOS 10.6 or later.
- Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible. Cookies and JavaScript must be enabled
- The latest Adobe Reader/Acrobat Reader ( free download available at https://get.adobe.com/reader/ )
- Any modern Office suite: Microsoft Office, Apple iWork, OpenOffice, or LibreOffice
- Reliable internet connection. Broadband cable or highspeed DSL is recommended for optimal experience.
- E-mail account (to be able to register and to receive e-mail from the course system regarding registration, course status, etc.)
Reviews
"This course has provided a good intro to Big Data and its practical uses in industry as well as different businesses."
Mateen A.
"The course really helped in refreshing my analytical concepts and is definitely going to help me in applying such concepts to my job role."
Fatima S.
"I had such an impactful experience as the course topic was simplified to my understanding and the platform is user-friendly. Thank you."
Aswond S.
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