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Data analyst with pandas in 8 weeks

101 lessons · ~85h · 8-10 weeks · starter

⏱ How long will this take you? ~85h total → 6 weeks at 15h/week (the title's pace) · 9 weeks at 10h/week · 22 weeks at 4h/week (45 min/day, 5 days). Pick the row that matches your real schedule.

Your progress

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Outcome

Cleanly slice messy CSV/SQL data, build a Streamlit dashboard, ship two end-to-end notebooks recruiters can actually open.

Why this path

Data analyst is the most accessible data role for career switchers — pandas + SQL + one dashboard tool covers 80% of the job. This path skips the ML rabbit-hole and focuses on the boring-but-paid daily work: load, clean, group, visualize, present.

Resume bullet (when finished)

“Built two production analytics notebooks in pandas + a Streamlit dashboard fed by Postgres, automated weekly CSV ingest for a fake-but-realistic retail dataset.”

Stages (4)

STAGE 1

Module 1 · Python you'll actually use (weeks 1-2)

~20h · 31 lessons

+ 25 more lessons in this stage

STAGE 2

Module 2 · pandas core + tidy data (weeks 3-4)

~25h · 25 lessons

+ 19 more lessons in this stage

STAGE 3

Module 3 · Cleaning + joins + groupby (weeks 5-6)

~22h · 25 lessons

+ 19 more lessons in this stage

STAGE 4

Module 4 · Dashboard + Excel automation (weeks 7-8)

~18h · 20 lessons

+ 14 more lessons in this stage

Ready to start?

Start with the first lesson →