Data Structures & Algorithms in Python: Fundamental Data Structures

Bottom Line

A tight, honest introduction to Python data structures that earns its keep as a first step—but don't mistake it for a complete interview-prep toolkit on its own.

📊 Course Snapshot

📝 Editorial Analysis

Let me be honest about what this course is: a focused, no-fluff module inside Skillsoft's broader Python learning path. At 1 hour and 19 minutes, it's not trying to be everything—and that restraint is actually one of its strengths. I've seen beginner courses balloon into 50-module junk drawers that overwhelm students before they've written a single node. This isn't that.

The coverage hits the foundational trio—linked lists, stacks, and queues—plus an introduction to Big O notation and performance metrics. That's a clean and simple scope for a beginner. The fact that it walks through insertion, deletion, searching, and node-counting operations on linked lists specifically tells me someone actually thought about the skill sequence here. You're not just reading definitions; you're tracing operations. That matters.

The Big O piece is where I'd pay closest attention. Understanding how to express performance in terms of input size is the mental model that makes everything else click later—and it's often the piece that beginner courses skip or bury. The fact that it's explicitly listed as a learning outcome here is a good sign. Whether the execution is deep enough to make it genuinely stick is harder to assess from the outside, but the intent is right.

Now, the honest friction: this course requires a Skillsoft subscription, not a one-time purchase. If you're already on the platform—through an employer or an existing plan—that's a non-issue. If you're not, the value calculation gets murkier. Under 80 minutes of content is a tough sell as a subscription entry point. I'd only sign up for Skillsoft because of this course if you're committed to the full "Python Novice to Pythonista" journey it's part of. As a standalone? Probably not.

The 4.3 rating across 343 reviews is solid—not spectacular, but real. That distribution suggests students find it useful without finding it transformative. Which is fine. A good first module should build a foundation, not promise the whole house. And this one, by all structural indicators, does that job cleanly.

One thing I'd flag for interview preppers specifically: this is a starting point. Not a finish line. You'll need to pair it with hands-on practice—LeetCode, HackerRank, actual Python implementations—before you're walking into a technical screen with confidence. Think of this as the Monday-morning plan, not the whole week.

⏱️ Real Time Investment

The listed runtime is passive watch time. If you're actually learning—pausing, implementing, testing—plan for a solid half-day. That's not a complaint. That's how data structures actually land in your brain.

🎯 Skills You'll Build

🟦 Core data structure skills   🟩 Algorithmic thinking   🟨 Implementation techniques   🟪 Stack-specific ops   🟥 Analysis skills

I'm compressing a lot of nuance into a few lines here—but the short version is this: if you're on Skillsoft already and you want a clean, finishable first look at Python data structures before going deeper, this module does its job. If you're not on Skillsoft, it probably shouldn't be the reason you subscribe. Either way, don't stop here. The real learning happens when you close the video and open your code editor.