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Ask the library about workforce, startup, and technology trends
Answers come only from resources in this hub, with the sources listed underneath.
A large free archive of practitioner-written tutorials and explainers on machine learning, statistics, data engineering and AI, from beginner to advanced.
Why I recommend it: Quality varies by author, but the beginner explainers are among the easiest free routes into data work.
Canada's largest beginner-only hackathon, run by nwPlus on November 7-8, 2026, built for first-time hackers with hands-on workshops and no coding experience required.
Details: Beginner-only means nobody there expects you to know anything yet. This is the one to start with.
Beginner-friendly electronics tutorials from engineer and YouTube educator AfroTechMods, covering transistors, op-amps, soldering, and circuit debugging in plain language.
Why I recommend it: Great first stop if formal engineering courses lost you. Build one circuit, then go back to the theory.
Free short course covering the foundations of large language models, generative AI concepts, and responsible AI principles. No coding experience required.
Why I recommend it: Start here if AI still feels like a black box. About an hour, and it gives you the vocabulary to follow every other course on this list.
A plain-English walkthrough of writing a resume from scratch, with real examples for each section and fixes for common weak bullets.
In plain terms: This step-by-step guide explains how to write a resume from scratch. You can use its formatting advice and practical examples to build each section and highlight your work experience clearly.
From the site: Here's how to make a resume from start to finish — exactly what to write, include, and think about.
