An interactive marketing-attribution explainer illustrates how signal loss and attribution models change the credit assigned to channels, including AI referrals appearing as Direct. Its marbles and model weights are illustrative, not measurements from a real site.
Examines measurement challenges in influencer marketing, including inconsistent platform metrics and fragmented ownership of creator programs. Discusses clarifying campaign goals and amplifying creator content, drawing on ANA research.
A free hybrid conference on open source analytics and AI, held online and in San Francisco, bringing together data engineers, analytics engineers, and open source maintainers for technical talks on the modern data stack.
Free online courses from recruiting-software company Ashby on hiring analytics, recruiting practices and talent trends. A free account is required; much of the material is written for Ashby users.
Free articles, reports and case studies from Celonis on process mining — using data to see how work actually flows through a company. Relevant to operations, analytics and AI-adjacent business careers.
Chartbeat analysis of two years of publisher traffic: articles are the front door about two-thirds of the time, homepages have shifted toward reader loyalty and recirculation, and AI overviews are part of the changing referral mix.
Why I recommend it: Free post from an analytics vendor, so the framing serves Chartbeat's products. The raw split — 67% of visits landing on articles versus 33% on homepages — is their own network data and worth knowing if you publish or run a content business.
Current openings in data engineering, analytics and data science posted by Dataspace, a staffing firm that specialises in data roles.
From the site: Browse open data science contract jobs, including data science, engineering, and analytics roles at industry-leading companies nationwide.
Why I recommend it: A niche board rather than a big one. Worth a look precisely because far fewer people are applying through it than through the giant sites.
The open-source Python library for static, animated and interactive charts, with free plot-type galleries, tutorials, cheat sheets and a full API reference.
Why I recommend it: If you are learning data work, start here: the example gallery lets you copy a chart that already looks like what you need and adapt it.
Free interactive SQL lessons that run in the browser — short explanations paired with hands-on exercises, from simple SELECT queries through joins and table creation. Good for anyone adding data skills to a resume.
Why I recommend it: Work through the first ten lessons before an analytics interview — it is the fastest way to sound fluent in SQL.
Barclays' data and analytics internship track, covering the work interns do with data science, modelling and analytics teams and how to apply.
Why I recommend it: A good bridge if you have analytics coursework but no finance background — they train on the domain, not the tooling. Pair it with a portfolio project you can talk through.
Georgia Tech course catalog on edX, including analytics, computing, and AI courses that can be audited free before you decide to pay for a certificate.
Why I recommend it: Audit first. You learn the same material free and only pay if the certificate actually gets used.