Roadmap
Data analyst
Spreadsheets, SQL, statistics, dashboards and the skill that matters most: telling the story.
Who it's for
Graduates from any field who like numbers, and professionals who want to make decisions with data.
Where it leads
- Data analyst
- Business analyst
- Product analyst
- MIS analyst
By the end you can
- Answer business questions with SQL
- Use statistics without fooling yourself
- Build a dashboard people actually use
- Present a finding so that someone acts on it
- 1
SQL first
The single most asked-for analyst skill. Learn it before any tool.
- 2
Statistics that keep you honest
Averages, distributions, sampling and significance. The difference between insight and noise.
- 3
Python for analysis
When a spreadsheet gets too big or too repetitive, pandas takes over.
- 4
Dashboards and visualisation
A good chart makes a decision obvious. Learn one BI tool well.
Do this: Build a one-page dashboard from a public dataset that answers one clear question.
- 5
Present the finding
Analysis that nobody acts on was a waste. Write and present for decision makers.
Do this: Write a one-page memo with one chart and one recommendation from your dashboard.
Learning this with others is easier.
Ask questions when you're stuck, find people on the same path, and track your progress on DevLearn.