- Problem solving
- Results-based management
- Data mining
- Data management
- Davenport-Kim three-stage model
- Descriptive analytics
- Prescriptive analytics
- Predictive analytics
- Tactical analytics
- Strategic analytics
- Badge and credit-awarding
- Real-world case studies
- Fully accessible
- Games & Flashcards
- Video content
- Explain why analysis is important for project management
- Describe the general steps for problem solving
- Summarize the Davenport-Kim three-stage model for analysis
- Explain the five stages of results-based management
- Identify what defines data as valid and reliable
- Define the three main types of data analytics
- Identify examples of bias in a data set
- Explain the purpose of a balanced scorecard
- Describe the best practices for presenting data
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.
As anAccredited Provider, MindEdge offers for its learning events that comply with the Continuing Education and Training Standard.
Learners must achieve an average test score of at least 70% to meet the minimum successful completion requirement and qualify to receivecredit. Learners will have three attempts at all graded assessments.
Project Management Institute,, the Registered Education Provider logo, Project Management Professional, , Project Management Body of Knowledge, , Agile Certified Practitioner, - , Risk Management Professional, - , the Talent Triangle, and the Talent Triangle logo are marks of the Project Management Institute, Inc.
Information in this course has been taken from A Guide to the Project Management Body of Knowledge, (® Guide) - Sixth Edition, Project Management Institute Inc., 2017.
The following list outlines theyou will earn for completing this course, based on the certifications you have.