Data Analytics
Statistical Process Control
Self-Paced5 Course Hours | 12 Weeks
$79Data Analytics
Description
This course discusses data-driven decision making across a variety of sectors such as healthcare, education, and government. This course also offers recommendations for decision-making based on data analytics for each sector. The course will begin with an introduction of Big Data, then continue into a deeper dive on its implications within each sector.
credits
- IACET CEUs: 0.5
- HRCI Credits: 5
- Specified - Strategic Business: 5
- SHRM PDCs: 5
features
- Mobile-friendly
- Audio-enabled
- Badge and credit-awarding
- Real-world case studies
- Fully accessible
- Games & Flashcards
- Expert-supported
- Video content
learning Outcomes
- Explain the management implications of the use of business intelligence and knowledge management systems
- Define Big Data and describe its current uses for analysis and future potential and its implications
- Explain common analytics for business and quality improvement
- Recommend manufacturing business decisions based on data analytics
- Explain common analytics used in health care
- Recommend health care decisions based on data analytics
- Explain common analytics used in education
- Recommend educational decisions based in data analytics
- Explain common analytics used in government
- Recommend governmental decisions based on data analytics
