Learn to work confidently with data for free. Insyt is built for the role you have and the career you want.
Role-based learning, skill paths and resources cost nothing to access, so anyone can start learning.
Start with your role, then learn the tools it needs.
Clear explanations, with every technical term defined.
Built from real work with data, and the practical resources that were hard to find along the way.
New to data? Start with the basics, then follow the three steps below.Start Here: Data Basics →
Choose the role-based learning that matches your job, or begin with the Data Basics steps above.
Follow the skill paths for the skills your role needs, at your own pace.
Use what you learn on real reports and decisions from day one.
Seventeen roles across six areas of data work, grouped by the area each role sits in. Many roles work across areas, so pick the one closest to your job.
Learn the fundamentals so the numbers you see at work make sense from your first day in the job.
Plan, forecast and explain the numbers behind budgets, margins and investment decisions.
Plan and run day-to-day operations using service, stock, capacity and quality measures.
Turn business needs into clear requirements, and use data to show what should change.
Read team reports with confidence, set clear goals and use data in everyday decisions.
Set direction with trusted data, challenge the numbers and build a data-confident organisation.
Complete programmeBuild the reports and dashboards your team relies on, in Excel or Power BI, and make them easy to trust.
Complete programmeTurn raw data into reports and dashboards that answer real business questions.
Measure campaigns, channels and customer value to show what really drives growth.
Clean and organise data so reports are accurate and everyone trusts the numbers.
Turn priorities into a clear backlog and make sure what the team delivers creates value.
Set product direction and use data to decide what gets built next and why.
Organise information and content so people and systems can find, understand and trust it.
Plan how an organisation’s data is stored, connected and kept secure.
Monitor risks, controls and regulations, and show the evidence that they are working.
Set ownership, standards and quality rules so data can be trusted across the organisation.
Protect personal data, handle rights requests and keep the organisation on the right side of privacy law.
Coming next
Data Engineers, Platform Engineers, Software Engineers, Data Scientists, AI & Machine Learning Engineers and AI Product Managers are being written now, and will be released as each is finished.Tell us which to prioritise →
Hands-on paths that take you from the fundamentals to advanced use.
Guides and references you can turn to whenever a question comes up at work.
40 visual types, each showing what it’s for, when to use it and when to choose something else.
The core concepts every role needs, in one short guided path.
Clear definitions for data and business terms, with formulas for key metrics such as EBIT and churn.
Ready-to-use checklists and one-page guides to take straight into your next project.
“Data is transforming how every organisation works. Skills that were once specialist are now essential, yet building them is still harder than it should be. Learning materials are often scattered, out of date or expensive.I built Insyt to bring resources together in one place. My goal is for everyone to feel they belong in conversations about data, whatever their role.”
Leaders already believe in data skills. What is missing is training people actually finish, and can use the next morning.
Sources: DataCamp and YouGov, 2026 for the first three figures, an industry survey of 500+ US and UK leaders; Reich and Ruipérez-Valiente, Science, 2019 for completion rates. Full references on the About page.