Data Analytics Essentials: Edmonton’s Healthcare & Service in a Day
About this Event
Duration:1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session.
Course Overview
Edmonton’s large healthcare and public service sectors produce vast amounts of data daily. Leveraging data analytics has become critical to improve decision-making, optimize operations, and enhance service delivery. This 1-day workshop equips professionals with the foundational tools and techniques of data analytics tailored to healthcare and service industries. You will learn how to clean, interpret, and visualize data to uncover insights that drive efficiency, innovation, and evidence-based policy.
Learning Objectives
By the end of the workshop, you will be able to:
- Understand the role of data analytics in healthcare and public services.
- Apply practical techniques for data cleaning, preparation, and visualization.
- Interpret datasets to identify trends, inefficiencies, and opportunities.
- Use case studies to apply analytics for improved decision-making.
- Build confidence in presenting data-driven insights to stakeholders.
Target Audience
- Healthcare administrators and service managers.
- Public sector professionals responsible for data-driven decisions.
- Analysts and coordinators seeking to enhance their data skills.
- Policy makers and strategists in healthcare and services.
- Professionals transitioning into analytics-driven roles.
Why It’s the Right Fit for You:
We understand Edmonton because we are part of Edmonton. Our training is built around the city’s unique strengths in healthcare and public services, with real examples drawn from the challenges and opportunities professionals here face every day. Unlike generic courses, this workshop is designed with local context in mind—making it more practical, relatable, and immediately useful. By joining us, you’re not only learning proven data analytics skills but also working with a team that knows the Edmonton community, values its growth, and is committed to helping local professionals succeed.
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Smart Savings for Groups
Register in groups: 3 + participants save 10% each, while 10+ participants save 15% each.
Are you ready to turn Edmonton’s vast healthcare and public service data into meaningful insights that truly make a difference?
This one-day Data Analytics workshop is designed specifically for professionals in Edmonton, helping you move beyond spreadsheets and reports to uncover patterns, improve decision-making, and drive measurable impact. With local case studies, hands-on exercises, and expert trainers who understand the city’s unique service landscape, this program equips you with practical tools to use data more effectively in your daily work.
📧 Contact us today to schedule a customized in-house, face-to-face session:
Agenda
Welcome & Icebreaker
Info: • Trainer introduction and workshop objectives
• Icebreaking activity: “Where do you see data in your daily work?” (participants share quick examples from their roles)
Module 1: Introduction to Data Analytics
Info: • Why analytics matters in healthcare & services
• Data types, sources, and common challenges
Activity: Group brainstorm – map real-life data sources in healthcare/service (patient records, scheduling systems, surveys).
Module 2: Data Preparation & Cleaning
Info: • Identifying missing, inconsistent, or duplicate data
• Tools and techniques for reliable datasets
Activity: Hands-on exercise with a messy dataset – participants spot and fix errors using simple cleaning steps.
Module 3: Data Analysis Techniques
Info: • Descriptive and diagnostic analytics
• Case studies from healthcare and service sectors
Case Study: Analyze a hospital wait-time dataset; groups identify causes of delays and propose data-backed solutions.
Module 4: Data Visualization & Storytelling
Info: • Visual tools (charts, dashboards, reports)
• Communicating insights for decision-making
Activity: Participants design a simple dashboard (Excel/Power BI/Google Sheets) and explain insights to peers in 2 minutes.
Module 5: Applying Analytics to Healthcare & Services
Info: • Practical exercises with sample datasets
• Using analytics to improve patient care and service efficiency
Simulation: Teams use sample data to optimize hospital staffing or service response times, then share recommendations.
Module 6: Predictive Analytics in Healthcare & Services
Info: • Introduction to predictive models and forecasting
• Applications in patient outcomes, resource planning, and service optimization
Activity: Forecasting exercise – use past data trends (e.g., ER visits) to predict demand for the next quarter.
Module 7: Data Ethics, Privacy & Compliance
Info: • Importance of ethical data handling
• Privacy laws in Canada (HIPA, PIPEDA) and compliance requirements
• Responsible use of data in healthcare and public services
Case Study: Review a real healthcare data breach – group discussion on what went wrong and how compliance could prevent it.
Wrap-Up & Q&A
Info: • Key takeaways from the day
• Certificate distribution and closing remarks
Reflection: Each participant writes one way they will use analytics in their current role.
Where is it happening?
Event Location & Nearby Stays:
CAD 633.68 to CAD 828.26
