Free AI and Data Courses That Are Actually Free

"Free" in this market usually means a trial, a first chapter, or free until the certificate. The four routes below are not that. Each was confirmed on its own page on 24 September 2026, and none of them has an affiliate programme, so recommending them earns this site nothing at all.

freeCodeCamp: the whole thing, certifications included

freeCodeCamp's own page states it plainly: "Every aspect of freeCodeCamp is 100% free. The courses, the projects, even the certifications." It describes itself as a 501(c)(3) public charity and a donor-supported one.

It offers eleven certifications, four of which matter for data and AI work: Relational Databases, Data Visualization, Data Analysis with Python, and Machine Learning with Python. Each is stated as approximately 300 hours with five required projects. That is a serious commitment, honestly described — and the five projects are what separate it from watching videos.

SQLBolt: SQL in a browser tab

SQLBolt describes itself as "a series of interactive lessons and exercises designed to help you quickly learn SQL right in your browser". The lessons run in the page, each introducing a concept and ending in an exercise. When we read it, the site displayed no pricing and asked for no account.

It is the fastest way to find out whether you enjoy querying data, and an afternoon of it covers a meaningful share of what everyday analysis needs. Where to go after it is set out in the guide to learning SQL.

Microsoft's own Excel pages

For spreadsheets, the best free source is the company that makes the product. Microsoft publishes Excel training and a complete function reference on its support site, organised into getting started, formulas and functions, importing and analysing, formatting and troubleshooting, with pages on PivotTables, XLOOKUP, VLOOKUP, IF and the rest. No price appears anywhere on it.

This is the one skill where paid courses have the hardest case to make, and it is covered further in the guide to Excel courses.

Coursera's two free routes

Coursera has a free path that its marketing does not emphasise. Many courses can be enrolled in and worked through without payment — the page for the first course of the Machine Learning Specialization states that you can enrol for free, and that earning the certificate is what requires purchasing the certificate experience.

Separately, Coursera runs Financial Aid. Its course pages state that financial aid is available and that, in select learning programmes, you can apply for financial aid or a scholarship if you cannot afford the enrolment fee. The eligibility details live in Coursera's own help pages, which did not load for us on the day, so check the current terms there rather than relying on a summary.

What free does not give you

A deadline, and somebody expecting the work. That is genuinely what the paid programmes sell: sequence, pressure and a certificate with a name on it. If you already know that you do not finish things without external structure, that is worth money and you should spend it deliberately rather than pretending otherwise.

The trade is priced out in full on the page comparing every analytics route at its own stated pace, where the free column sits next to the $294 and $239 ones. For a lot of readers, the free column is the right answer, and it says so.

One we could not confirm

Kaggle Learn is routinely recommended in lists like this one, and it is not recommended here — not because it is bad, but because its page rendered nothing we could read on 24 September 2026. The content is generated in the browser, so a straightforward fetch returns the page title and no course list, no durations and no statement about cost.

So this site says what it can verify and no more: we could not confirm Kaggle Learn's current course list or its terms on the day, and therefore make no claim about them. If you want to use it, read its own pages in a browser. That is a smaller recommendation than most lists give it, and an honest one.

Building a free curriculum that holds together

The weakness of free resources is not quality, it is that nobody sequences them for you. Four sources with no shared plan can leave you with fragments. A workable order, using only what is confirmed above:

1. Spreadsheets first, from Microsoft's own pages — absolute references, IF, a lookup function and PivotTables. A week, not a month.
2. SQL next, starting with SQLBolt in the browser and then freeCodeCamp's Relational Databases certification, which requires five projects rather than only exercises.
3. Python after SQL, through freeCodeCamp's Data Analysis with Python certification, at which point you have both languages that the paid certificates name.
4. Machine learning last, either through freeCodeCamp's Machine Learning with Python or by auditing the Machine Learning Specialization on Coursera without paying for the certificate.

That sequence covers the same four skills the paid routes advertise, in the same order the paid routes teach them, for nothing. What it does not give you is a certificate with a recognisable company's name on it — which, priced against the paid routes at their own stated paces, is the actual thing you would be buying.

How to keep going without a deadline

The single practical difference between free and paid study is that nothing is chasing you. Two substitutes work reasonably well: pick a real question you want answered from data you care about, so that curiosity supplies the pressure; and make the projects non-negotiable, because they are the part that produces evidence and the part most likely to be skipped.

freeCodeCamp's structure helps here — five required projects per certification means the assessment is built in. It is a stricter requirement than several paid programmes impose, which is worth sitting with when weighing what the paid option is really adding.

A note on what “free” usually means elsewhere

Three patterns account for most of what gets advertised as free in this market, and none of them is wrong so long as you can see it. Free-to-audit means the material without the certificate. Free tier means a sample — DataCamp's first chapter of every course is a good example, and an honest one. Free trial means seven days and a card on file.

The four routes above are none of those: they are free in the ordinary sense, with the certification included in freeCodeCamp's case. Knowing which kind of free you are being offered is most of the skill in reading these pages, including this one.