Data Analytics Essentials: Edmonton’s Healthcare & Service in a Day
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Data Analytics Essentials: Edmonton’s Healthcare & Service in a Day

By Catils_inc
Multiple dates

Overview

From patient care to public policy, discover how data analytics drives smarter decisions in Edmonton’s healthcare & service sectors.

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. 

©2025 Catils. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.

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: info@catils.com

Category: Science & Tech, High Tech

Good to know

Highlights

  • 8 hours
  • ages 18+
  • In person
  • Paid parking

Refund Policy

Refunds up to 7 days before event

Location

Regus AB, Edmonton - 98 Avenue

10611 98 Avenue #9th floor

Ph No +1 469 666 9332 Edmonton, AB T5K 2P7 Canada

How do you want to get there?

Agenda

Welcome & Icebreaker

• 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

• 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

• 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.

Frequently asked questions

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From CA$544.67
Multiple dates