Data & Analytics
Courses on working with data: querying, modelling, visualisation, and turning measurement into decisions.
Verified courses first, then the rest of the category
W3Schools’ introduction to data science as a subject, sitting above its separate language and library tutorials. Short written lessons, free to read without an account.
Not independently verified
Illinois on data visualisation as a discipline, covering perception and encoding rather than chart types. Delivered through Coursera; the browse listing publishes no price.
Not independently verified
DeepLearning.AI’s data analytics certificate, its longest published programme in the subject. Delivered through Coursera; the browse listing publishes no price.
Not independently verified
Macquarie on Excel for analysis specifically, beyond the general business essentials course. Delivered through Coursera; the browse listing publishes no price.
Not independently verified
A specialization taking Excel from essentials to advanced use for business analysis, in the tool most workplace analysis is still done in.
Not independently verified
The opening course of Macquarie’s widely taken Excel sequence, in the tool most workplace analysis still runs on. Delivered through Coursera; the browse listing publishes no price.
Not independently verified
A written Excel tutorial covering the spreadsheet most business analysis is still done in. Short lessons in the W3Schools format, published free with no account required.
Not independently verified
Wharton’s quantitative modelling specialization, aimed at analysts who build the models rather than read them. Delivered through Coursera; the browse listing publishes no price.
Not independently verified
The opening course of Google’s data analytics certificate, taken on its own as an introduction to what analysts actually do.
Not independently verified
The follow-on to Google’s data analytics certificate, moving into statistics, regression and machine learning. Delivered through Coursera; the browse listing publishes no price.
Not independently verified
Google’s business intelligence certificate, the follow-on to its data analytics programme and aimed at dashboards and pipelines. Delivered through Coursera; the browse listing publishes no price.
Not independently verified
Google’s data analytics certificate, the most widely taken of its career programmes and designed as a route into analyst work without a prior degree.
Not independently verified
HubSpot Academy’s reporting certification, at roughly six hours the longest item on its course index. Product training in how to build and read reporting inside HubSpot, rather than analytics as a general subject. Free.
Not independently verified
IBM’s data analyst certificate, a shorter route than its data science programme and aimed squarely at analyst work. Delivered through Coursera; the browse listing publishes no price.
Not independently verified
IBM’s data engineering certificate, addressing the pipelines and storage that sit underneath analysis rather than the analysis itself.
Not independently verified
IBM’s data science certificate, covering Python, SQL, visualisation and machine learning as a route into the field for people without a prior technical qualification.
Not independently verified
Five hours of SQL past the basics, the follow-on to DataCamp’s introductory course, taught as interactive exercises in the browser. Requires a paid plan, with no price stated on the catalog listing.
Not independently verified
A short introduction to the platform analytics product, for measuring what a published site actually does. Free from Webflow University, with an account offered to track progress.
Not independently verified
The opening course of Michigan’s applied data science sequence, on pandas and the Python data stack. Delivered through Coursera; the browse listing publishes no price.
Not independently verified
Portfolio construction taught through Python, from a business school with a strong quantitative finance reputation. Delivered through Coursera; the browse listing publishes no price.
Not independently verified
A three and a half hour introduction to Power BI, covering the business intelligence tool rather than a programming language. Requires a paid plan.
Not independently verified
DataCamp’s four-hour Python introduction, taught for data work specifically rather than as general programming. Requires a paid plan.
Not independently verified
DataCamp’s introduction to R, taught as short interactive exercises in the browser. Marked free on the platform’s own catalog, which is unusual there and worth knowing.
Not independently verified
A forty-five minute introduction to SQL, the shortest course on DataCamp’s catalog listing and a fast way to find out whether the subject suits you. Requires a paid plan.
Not independently verified
About this subject
Courses on working with data: the statistics underneath it, the languages and tools used to query and shape it, and the visualisation and communication that decide whether any of it changes a decision. The catalogue covers both ends of this, from spreadsheet fundamentals through to graduate statistics, and the gap between them is wider than course titles suggest.
Guidance
Verification tells you that a course delivers the material it advertises. It cannot tell you whether the methods it teaches suit your data. These are the things worth checking yourself.
A course on a business intelligence product teaches you to operate software. A course on statistics teaches you which questions the software can honestly answer. Analysts need both, and the second is the one people skip, because the first produces visible output faster. A dashboard built on a misunderstanding of sampling is worse than no dashboard.
SQL, Python, R, Excel and the major BI tools all appear in this catalogue and all lead somewhere different. If your workplace runs on spreadsheets, a course in R may be intellectually satisfying and practically irrelevant for a year. If you intend to move into engineering, the reverse. Each listing names the tool in the title or summary.
Hypothesis testing, sampling and regression are where most self-taught analysis goes wrong, because the tools will happily produce a confident-looking number from a method that does not apply. Several courses here teach statistics on its own, and taking one early tends to make everything after it faster.
Analysis that nobody acts on has not finished. The stronger courses in this subject cover how a finding is presented, what a chart encodes and how a recommendation is framed, not only how the calculation is done. It is worth checking whether a course stops at the output.
A course built on a clean teaching dataset is a different experience from one that makes you find, join and repair real data. Both have a place, but only the second prepares you for the part of the job that takes the most time. Where a provider describes exercises or projects, the summary says so.
Standards
The published standard applies unchanged. These are the checks that tend to matter most in this subject.
A verification says nothing about whether the statistical methods taught are appropriate for your data, or whether the conclusions in the teaching examples are sound. We do not review analytical correctness.
Questions
For a great deal of business analysis, yes. Most workplace analysis still happens in spreadsheets, and the courses here treat that as legitimate rather than as a stepping stone. Whether you also need SQL or Python depends on the size and source of your data.
Sometimes. Some courses run entirely in a browser, others assume a licence or a paid tier. Where a provider states what is required we record it, and where they do not, the listing says only what we could confirm.
That is between you and whoever is hiring. We verify that a certificate is described accurately, including its cost and what it requires, and we make no claim about its value in the market.
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