Ideas on learning data,
building a portfolio, and getting hired.
Career guides, honest roadmaps, and advice on breaking into data, from the team building D8A Academy.
Do you need a degree to become a data analyst in 2026?
The short answer is no. Plenty of working data analysts have no relevant degree, and hiring is shifting toward skills over credentials. Here is what actually replaces the degree as a signal, where a degree still helps, and how to break in without one.
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DataCamp vs Coursera vs building a portfolio: what actually gets you a data job
DataCamp and Coursera are two of the most popular ways to learn data skills, and both are useful. But neither is what gets you hired. Here is an honest comparison of what each one is for, and the deliverable that turns learning into interviews.
Is the Google Data Analytics Certificate enough to get hired in 2026?
The Google Data Analytics Certificate is a great place to start and a weak place to finish. Here is what it does well, where it stops short of getting you hired, and the one thing to add so it actually converts into interviews.
Is a data analyst portfolio worth it in 2026? What actually gets you hired
Certificates are everywhere and hiring is competitive. So is building a data analyst portfolio still worth the effort in 2026? The honest answer, the numbers behind it, and what a portfolio that gets interviews looks like.
How to create a data analytics roadmap (free template)
A repeatable framework for building your own data analytics roadmap: assess where you are, define the target, and sequence the skills and projects in the order that gets you there. With a fill-in template.
10 data analyst portfolio project ideas that actually get you hired
Not random Kaggle notebooks. Ten data analyst portfolio projects that mirror the work analysts are paid to do, what each one proves to a recruiter, and how to make them interview-ready.
The data analyst roadmap for 2026: skip the 50-step lists, build 3 projects
Most data analyst roadmaps are a wall of tools you will never finish. Here is a shorter, project-based roadmap that gets you to a portfolio recruiters can open, in the order that actually matters.
Data portfolio project ideas that get you hired (by role)
Data portfolio project ideas for every role: Data Analyst, Data Scientist, Data Engineer, Business Analyst. Real datasets, what to actually show, and how to build each one.
Free intro data courses: which path should you start?
Four free intro data courses, one per path: Data Analyst, Data Scientist, Data Engineer, Business Analyst. Run real queries in your browser, no signup, no card. Here's how to pick.
The D8A weekly data challenge and leaderboard
Every week, a fresh six-question data challenge. Play in two minutes, climb the leaderboard, and turn what you know into something you can show. Here's how it works.
Stakeholder interview questions every data analyst should ask
The exact questions to ask stakeholders before a data project, grouped by what they protect you from: building the wrong thing, defining metrics wrong, or missing the business context.
A data requirements gathering template (with examples)
A copy-paste data requirements template, filled-in examples, and the exact order to complete each section so you scope any analysis or dashboard before you build it.
What is a data requirement? Types and examples
A clear definition of a data requirement, the difference between functional and non-functional ones, and worked examples so you can tell a real requirement from a request.
A day in the life of a data engineer
Data engineers build the foundation the whole company runs on: the pipelines, schemas, and tests every analyst and model depend on. It's real software engineering with real ownership. Here's what the day looks like.
A day in the life of a data scientist
One of the most intellectually rewarding roles in data: you take a vague, open-ended problem and turn it into a model that genuinely changes what a product does. Here's what the day actually looks like.
A day in the life of a data analyst
The best part of the job is watching a single number change someone's mind. Getting there takes sharp questions, clean data, and dashboards the whole company comes to rely on. Here's what a real day looks like.
A day in the life of a business analyst
A business analyst sits at the center of how an organization actually works, turning vague business wishes into clear plans teams can build. No two days are the same, but the throughline is genuinely rewarding. Here's what a real day looks like.
The new D8A Academy: learn data by building a portfolio
The new D8A Academy is a portfolio-first platform: follow a guided path of real projects, and everything you build becomes a public portfolio recruiters can open. Here's how it works.
How to gather requirements as a data analyst
Requirement gathering is the first step of every data project, and the one most analysts quietly struggle with. Here's a structured framework for scoping any project.
How to transition into a data career from any background
Thousands of people move into data every year from marketing, finance, healthcare and teaching. Here's the honest roadmap: what it takes and how long it really is.
DA, DS, DE, BA: what's the actual difference?
Data Analyst, Data Scientist, Data Engineer, Business Analyst: four titles that overlap on every job board. Here's a clear map so you can pick your path.
From student to $750/day as a data analyst
How I went from a business school degree to working with Hermès, Rimowa and the LVMH group as a freelance data analyst, and what actually got me hired at each step.
What is a good roadmap to learn data analysis?
You Google "how to become a data analyst" and get 50 different roadmaps. Most of them are broken. Here is why, and the project-based approach that actually works.