Course curriculum

    1. Certification Review E-Course - Learning Outcome, Completion Criteria, Expiration Date, Disclosures, and Accreditation

    2. Course Content Outline

    3. Speaker Bio and Course Objectives

    4. References

    1. Handout - Session 1

    2. Course and Exam Overview

    3. Test Taking Techniques

    4. Practice Questions: Test Taking Techniques

    1. Handout - Session 2, Part 1

    2. Session 2, Part 1: Professional Practice

    3. Handout - Session 2, Part 2

    4. Session 2, Part 2: Methodologies and Theories

    5. Handout - Session 2, Part 3

    6. Session 2, Part 3: Rules, Regulations, and Requirements

    7. Handout - Session 2, Part 4

    8. Session 2, Part 4: Interprofessional Collaboration

    9. Practice Questions: Session 2

    1. Handout - Session 3, Part 1

    2. Session 3 Part 1: Planning and Analysis

    3. Handout - Session 3, Part 2

    4. Session 3, Part 2: Designing and Building

    5. Handout - Session 3, Part 3

    6. Session 3, Part 3: Testing, Training, and Implementation

    7. Handout - Session 3, Part 4

    8. Session 3, Part 4: Mentoring, Maintaining, Supporting, and Evaluating

    9. Practice Questions: Session 3

    1. Handout - Session 4, Part 1

    2. Session 4, Part 1: Data Standards

    3. Handout - Session 4, Part 2

    4. Session 4, Part 2: Data Management

    5. Handout - Session 4, Part 3

    6. Session 4, Part 3: Data Analysis, Application and Treatment

    7. Handout - Session 4, Part 4

    8. Session 4, Part 4: Hardware, Software, and Peripherals

    9. Practice Questions: Session 4

    1. Handout - Session 5

    2. Session 5: Data Visualization

    3. Practice Questions: Session 5

About this course

  • Free
  • 39 lessons
  • 8 hours of video content