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Python for marketers β€” GA4 exports, ad-spend attribution, LLM copy testing

Stop paying a $2k/mo agency for a report that's five queries in BigQuery.

Modern marketing lives in dashboards you didn't build β€” GA4, Meta Ads Manager, HubSpot, TikTok Business, Amplitude β€” each with a good UI and a painfully limited export. The tier of insight that separates a manager from a director is 'I can join those five sources and answer a question none of the UIs answer'. That join is 30 lines of Python.

54 Automation lessons plus the Data Science track cover it: requests (every platform's REST API), pandas (joins across sources, cohort math, funnel analysis), matplotlib/plotly (quick charts for the deck), openai/anthropic SDK (200 headline variants tested against a golden set). Then the Weekend Excel path shows how to schedule the whole thing so Monday-morning has a fresh report before the standup.

Open the Data Science track β€” 104 lessons β†’

Or start with one of these

Automation track β†’
54 lessons β€” API pulls, scheduling, Sheets export.
Weekend Excel automation β†’
One real workflow, end to end, in a weekend.