Canadian College of Healthcare and Pharmaceutics

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Healthcare Data Analytics

– About our program
– Who should take the course

We are living in the era of data and now every job requires some expertise of data analysis. This workshop which includes theory and hands-on sessions will provide you training on how to effectively explore the data. If you want to expand your knowledge of general data description and statistics through a Step-by-Step approach, this is design for you. This is Bring Your Own Laptop (BYOL) workshop.

The Canadian College of Healthcare and Pharmaceutics is pleased to offer a workshop series on Health Data Analytics for those interested in data sciences, statistics, sociology, psychology and clinical studies among many others. The program will introduce you to basic programing in two most used software R and RShiny (Dashboard) including data manipulation and visualization techniques along with useful statistical concepts. This is not just a course but a skill. If you are interested to commence a research career in your field, this course will give you a good start.

This unique program is ideal for career:

  • Any health professionals including IMGs, nurses, health sciences students
  • Masters & PhD students (all applied fields)
  • Research assistants and data operators
  • Anyone working with data

Required Eligibility (any of the three):

  • Ontario Secondary School Diploma (70% score or higher in English, Maths and Biology)
  • Post-secondary certificate or Diploma in Health Sciences (e.g., PSW Certificate)
  • Internationally Educated Health Professionals
  • – Convenient class schedule
  • – The course involves classroom teaching and assignments
  • – Small group of students for individualized  attention and best practical learning experience
  • – Highly professional certified instructor
  • – Special Advantages from a Professional Institution
  • – Emphasis on one-to-one support
  • – Ongoing career coaching and guidance from experts in the field
  • – Mentorship that will help to build valuable personal and professional networks
  • – Recommendation letters- for best students
  • – Stackable credential
  • – Certificate given on successful completion

The program is delivered as hybrid over 38 hours:

  • Instructor-led Zoom sessions on six weekdays – 4:30pm-9pm (26 hours)
  • In-person – Two Sundays (12 hours) from 10 am to 4 pm

The program is offered in two formats

The workshop format is 15 hours long and is covered over 15 hours and covers following topics:

Day 1: Importing & Data Cleaning in R (7 hours)

  • Techniques for importing data into R
  • Data cleaning and preparation
  • Handling missing values and outliers

Day 2: Exploratory Data Analysis and Regression analyses (7 hours)

  • Techniques for exploring and understanding data
  • Identifying patterns and trends
  • Fundamentals of regression analysis
  • Building and interpreting regression models

The micro-credential format is 2 weeks long covers the following topics during 38 hours:

  • Day 1: Introduction to R (6 hours)
    • Basics of R programming
    • Data manipulation and visualization techniques
  • Day 2: Importing Data in R (4 hours)
    • Techniques for importing data into R
    • Data cleaning and preparation
  • Day 3: Data Cleaning in R (4 hours)
    • Methods for cleaning and organizing data
    • Handling missing values and outliers
  • Day 4: Exploratory Data Analysis (4 hours)
    • Techniques for exploring and understanding data
    • Identifying patterns and trends
  • Day 5: Introduction to Statistics in R (6 hours)
    • Basic statistical concepts and methods
    • Applying statistics to healthcare data
  • Day 6: Introduction to Regression in R (6 hours)
    • Fundamentals of regression analysis
    • Building and interpreting regression models
  • Day 7: Text Analyses (4 hours)
    • Techniques for analyzing text data
    • Applications in healthcare research
  • Day 8: R Shiny Dashboard (4 hours)
    • Creating interactive dashboards using R Shiny
    • Visualizing healthcare data

Free parking, easily accessible through public transport like subway (Kipling Station) and TTC buses 111, 112,123 and 76, 1, 101 from Mississauga, close to highways.

2 Day Workshop 

  • Apr 1 & 2, 2025
    • In person: Mar 29 Online: Apr 1 &2 May 31,2025
  • Jun 3 & 4, 2025
  • Aug 12 & 13, 2025
  • Sept 30 & Oct 1, 2025
  • Dec 2 & 3, 2025

2 Week Micro-Credential 

  • Mar 29 to Apr 10, 2025
  • May 31 to Jun 12, 2025
  • Aug 9 to 21, 2025
  • Sept 27 to Oct 9, 2025
  • Nov 29 to Dec 11, 2025

*Additional dates may be available. If you are interested in organizing at a corporate level, please email info@cchap.ca.