Workera is a slightly awkward fit for a course review site, and I want to be honest about that from the outset, because it is not a course at all and pretending otherwise would do a reader a disservice. What it actually is, is an assessment platform that came out of the same ecosystem as Andrew Ng and DeepLearning.AI, and its job is to measure your existing data science and AI skills through a series of adaptive tests and then map those results onto roles and competency areas so you can see, in fairly granular detail, what you are already good at and where you are weak. Taken on those terms, I think it is a genuinely useful and slightly underused idea. The single biggest mistake I see people make when they start learning AI is that they either overestimate their foundations and drown in a course that assumes too much, or underestimate them and waste weeks grinding through material they already know, and a solid diagnostic is the cure for both.
Workera's assessments are well constructed and adaptive, meaning they adjust difficulty based on your answers, and the resulting breakdown is honest enough to be a bit humbling, which is exactly what you want from this kind of tool. The skill taxonomy it uses feels credible precisely because of its lineage, and it is clearly built by people who understand what competence in these areas actually looks like. Now for the important caveats. The core product is really designed for enterprises that want to measure, benchmark, and upskill whole teams of engineers and analysts, and the free individual experience, while genuinely valuable, is in some sense a shop window for that.
It teaches you essentially nothing directly, so if you come here expecting lessons you will be baffled, because the entire model is diagnose and then point you toward resources rather than deliver the instruction itself. There is also an inherent limitation in reducing something as textured as real world data judgement to a score, and no assessment is going to capture whether you can navigate a messy stakeholder request or build a portfolio that gets you hired. My recommendation is therefore very specific and I stand by it, which is to use Workera as the first step in a learning plan rather than the plan itself, running the free assessment to get an honest map of your gaps, and then taking that map to a platform that actually teaches, whether that is Coursera, Fast.ai, DataCamp, or a university style course, so that every hour you subsequently spend learning is aimed at a real weakness rather than guessed at.