NIHI - McMaster Certificate Course Data Analytics II
Data Analytics II:
Moving from Data to Insight with Analytics
8 Sessions, 13 Hours
3 Live Online & 5 Recorded
Live Online Sessions: Mondays, November 16 & 30, December 14, 2020
Each Recording is approximately 2 hours
Recording 1, 2, & 3 will be available beginning November 17
Recording 4 & 5 will be available beginning December 1
Live Online Sessions
Mondays, November 16 & 30, December 14, 2020
12:00 - 1:00 PM ET
REGISTRATION NOW OPEN
Trevor Strome, MSc, PMP
Manager, Digital Airport Solutions, Winnipeg Airports Authority; Assistant Professor, Department of Emergency Medicine, College of Medicine, Faculty of Health Sciences, University of Manitoba; Author "Healthcare Analytics for Quality and Performance Improvement"
This course will provide you the essential information you need to make the right decisions about the right analytics for your organization. This course is built around the generally accepted four types of analytics. Which type of analytics you choose will depend on the analytics needs of your organization, as well as the capability of your organization to deliver. This course will draw examples from industries such as air transportation, healthcare, insurance, and other of today’s top industries.
This 8 Session (13 Hours) certificate program is for anyone who is responsible for managing, developing, or using analytics within their organization, or is interested in being part of their organization’s analytics team.
Upon completion you will be awarded a NIHI - McMaster University Data Analytics II: Moving from Data to Insight with Analytics Certificate of Attendance. A Certificate of Attendance is a non-academic certificate acknowledging that the recipient has completed a minimum of 10 hours of education has successfully completed the Opening and Closing Questionnaires, and any required homework material.
Please note that you do not need to take the NIHI - McMaster University Certificate Course called Data Analytics I: Operational Analytics for Quality & Performance Improvement in order to register for this course.
- Session 1 (Live November 16) - Course Overview and Introduction - 1 Hour
- Session 2 (Recorded) – Analytics System and Outputs Overview - 2 Hours
- Choosing your analytics approach
- Understanding the analytical needs of your organization
- Analytic capabilities of your organization
- Developing & deploying an analytics model
- Session 3 (Recorded) – Descriptive analytics - 2 Hours
- Analytics that typically examine past or current (i.e., real-time) performance, answering questions such as “what happened” or “what is happening”. Topics covered in this session will include:
- Statistical analysis & reporting
- Information dashboards
- Session 4 (Recorded) – Diagnostic analytics - 2 Hours
- Dive deeper into a problem to help understand why performance, quality, or other factors are the way they are. Topics discussed in this session will include:
- Statistical process control
- Relationships & correlations in data
- Drilldown / drill-through
- Session 5 (Live November 30) - Content Review, Q&A, Assignment Discussion - 1 Hour
- Session 6 (Recorded) – Predictive & Prescriptive Analytics - 2 Hours
- Algorithms that attempt to determine what will happen next, or what performance and/or quality will be like. Prescriptive analytics – optimization algorithms and approaches that offer suggestions of what actions to take to achieve/maintain optimal performance.
- Machine Learning algorithms (i.e. Regression, Classification, Clustering)
- Optimization algorithms
- Session 7 (Recorded) – Data Provisioning and Management - 2 Hours
- The tools and approaches required to move high-quality data from source systems to where it is required throughout an organization.
- Measuring & improving data quality
- Building & maintaining data pipelines
- Session 8 (Live December 14) - Course summary, Q&A - 1 Hour
- Discover how to transform your organization’s analytics from a collection of reports and dashboards to an integrated leadership/management system.
- Identify the critical inputs, enablers, and context that, when applied to the proper analytical methods, generate deep insight into past, current, and predicted future performance.
- Learn from examples and real-life case studies how analytics can be deployed to inform decision-making at all levels of an organization by providing the right insight at the right time to the right people.
- Deploy the optimal data, team, technology, and analytical techniques to achieve the performance goals of your organization
- Align quality and performance goals of management, departments, and programs to provide actionable intelligence for healthcare executives and transformation teams
- Anyone responsible for developing or utilizing analytics in public or private sector organizations
- Chief Analytics Officers
- Chief Data Officers
- Chief information officers
- Data Scientists
- Business Intelligence Analysts
- Data Analysts
- Policy Analysts
- Systems / Business Analysts
- Database Administrators
- Consultants and solution providers who need to offer analytics-related products and services to private and public sector organizations
- Technical architects and developers who design and build cloud, mobile, and other analytical solutions.
For Questions or Assistance Please Contact Us
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