Data Analyst Path
Career-starters who want to turn data into insight, no coding background required.
4 stepsHands-on labsCapstone + portfolioA named role
Assessed work, a capstone and a verified credential
What the path adds
Membership covers foundation reading. A path is where the work is assessed and the credential is earned.
- Marked work
- Your written submissions are assessed against a rubric, not ticked off.
- Cumulative assessment
- One exam across the whole path, not a quiz per course.
- Capstone
- A final piece of real work, reviewed.
- Portfolio artefact
- Something you can put in front of a hiring manager.
- Verified credential
- A Professional Path Credential with a public verification page.
By the end, you can
What this path makes you able to do.
- Run the data analysis process from question to insight
- Query data with SQL and work fluently in spreadsheets
- Build dashboards and tell a clear story with data
A guided journey, not a pile of courses
The 4-step path.
- 1View course
Data Analysis Foundations
The analysis process and data types
- 2View course
SQL & Spreadsheets for Analysts
SQL, spreadsheets, and cleaning
- 3View course
Data Visualization & Storytelling
Charts, dashboards, and story
Capstone: analyze a dataset end to end
A cleaned dataset, a SQL analysis, and a dashboard with a written insight narrative
Every path is backed by
Hands-on labs. A final exam & capstone. A real role.
You finish with a portfolio you can show, a cumulative exam, and the skills to land the Data Analyst role.
Not sure this is the one? Take the free fit and aptitude check first: twelve short questions, instant answer.