Healthcare Data Analytics - Chronic Disease Risk Analysis

Gain work-level experience as a Healthcare Data Analyst. Leveraging Python and data visualization tools to create an interactive dashboard for analyzing chronic disease risk factors.

⏰ 3-day free trial — cancel anytime during the trial

What You’ll Work on:

Learn skills that are 100% transferrable to work. Stand out in the job market with work-level experiences.

  • Technical Skills: data collection, geospatial analysis, statistical analysis, data visualization

  • Healthcare Domain Knowledge: health equity analysis, chronic disease epidemiology, policy and intervention analysis, data ethics and privacy

*Prerequisite: Python Basics (loop, dict, Pandas package)

  • - Introduction to Healthcare Data and Analytics

    - Job Hunting Tips

    - Project Overview

  • - Data Merge, Extraction & Manipulation

    - Geographic units & Granularity of Analysis

    - Overview of Public Health Ontario

    - Case proposa

  • - KPIs in chronic disease analysis

    - Direct vs. Indirect standardization

    - Data visualizations

  • - Statistical Analysis Overview

    - Univariate & Bivariate Analysis Methods (i.e. T-test, Chi-square test, ANOVA)

  • - Multivariate Analysis PART 1:

    - Linear Regression Models

    - Generalized Linear Models (GLMs)

    - Assumptions and Goodness-of-fit

  • - Multivariate Analysis PART 2:

    - Random Effect Models

    - Interpretation of regression models

  • - Survival Analysis

    - Kaplan-Meier Curve

    - Cox PH Model

  • - Equity Analysis

    - Storytelling

    - Findings vs. Recommendations

    - Stakeholder engagement

Gain Healthcare Domain Expertise

Gain valuable knowledge about the Canadian healthcare system, designed for aspiring Data Analysts and BI Analysts in the Healthcare Sectors.

Real-World Data Insights

Utilize authentic healthcare data from Public Health Ontario, offering a more practical and impactful learning experience than synthetic datasets.

Comprehensive Project Lifecycle

Experience the full analytical workflow, from developing an analytical framework to delivering data-driven recommendations, mirroring real-world healthcare projects.

Learn from the Best

“The demand for healthcare data professionals is increasing fast. However, employers usually find it challenging to find talents with both strong data & healthcare domain knowledge. This project will equip you with both to stand out in the job market.”

Lead Mentor: Daisy

Senior Analyst @Canadian Institute for Health Information (CIHI)

Guest Speakers

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USD 299

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FAQ

  • Unlike the other online courses or capstone projects, everything you learn and do will be directly transferable to a real workplace. Our programs are all designed and approved by industry professionals and hiring managers, they understand what can make you a great candidate in the job market.

  • You'll have access to decks, recordings, and other course materials, along with the necessary software and platforms. The project is self-paced, and we recommend dedicating 20-40 hours per week to complete it. Once finished, submit your final project for review.

  • The industry project helps you build hands-on experience, enhance your profile, and develop job-relevant skills by working on real-world tasks. It’s self-paced, with all necessary materials and platform access provided.

    The mentorship program is 1:1 coaching with an industry expert, focusing on interview preparation, resume refinement, and job search strategy to help you land an offer. Strong project experience is key before starting mentorship.

  • Yes! You can start 1:1 mentorship while working on the industry project to accelerate your job search. In this case, a deposit will be required.