Program Standards

Program Standards are a set of guidelines and criteria used to measure the quality and effectiveness of a program or project. Coursera's Program Standards catalogue teaches you how to develop, implement, and evaluate these standards to ensure optimal outcomes. You'll learn how to create comprehensive and effective program standards, carry out quality assurance processes, and evaluate the impact and success of a program. You'll also gain insights into adapting and customizing standards for different industries and the role of program standards in strategic planning, program development, and continuous improvement. This skill will equip you to enhance the quality of programs in various sectors, including education, business, healthcare, and more.
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Results for "program standards"

  • Status: Free Trial

    Skills you'll gain: Data Governance, Information Privacy, Governance, Law, Regulation, and Compliance, Compliance Management, Personally Identifiable Information, Program Standards, Governance Risk Management and Compliance, Program Development, Data Sharing, Regulatory Requirements

  • Status: Preview

    Skills you'll gain: Constructive Feedback, Higher Education, Instructional Design, Program Standards, Planning, Reliability, Analytical Skills, Decision Making

  • Status: Free Trial

    University of California, Irvine

    Skills you'll gain: Security Strategy, Cyber Governance, Security Management, Cyber Risk, Compliance Management, Risk Management, Regulatory Compliance, Cyber Security Policies, Cybersecurity, Law, Regulation, and Compliance, Cyber Security Strategy, Governance, NIST 800-53, Security Controls, Procedure Development, Data Governance, Program Standards, Computer Security

  • Status: New
    Status: Preview

    Skills you'll gain: Classification And Regression Tree (CART), Predictive Analytics, Predictive Modeling, Decision Tree Learning, Data-Driven Decision-Making, Marketing Analytics, Feature Engineering, Data Processing, Customer Analysis, Statistical Modeling, Supervised Learning, Data Cleansing, Machine Learning Methods, Program Standards

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