You've built reports in Excel, tracked campaigns in HubSpot, and probably have a Salesforce export sitting on your desktop right now. Let me ask you something before we write a single line of code: what's the most painful part of your Monday morning?
Honestly? It's pulling the same data from three places and stitching it together in Excel. Every. Single. Week.
That's exactly what Python replaces. Before we go further, rate yourself on six skills — not on what you wish you could do, but where you actually are today. A 1 on everything is a perfectly honest answer if you've never opened a Python file.
I'm a marketing manager, not a programmer. Is this even for me?
You're already doing the hard part — the analysis, the judgment calls, knowing which metrics matter. Python is just the plumbing that gets the data to your desk without three manual steps. Rate honestly. Day 30 answers show the delta.
Thirty days. One real project: a quarterly campaign report. By Day 28 you'll have working Python that takes a list of campaign dicts — spend, clicks, leads, conversions — groups them by channel, computes CPL and conversion rate, and returns a ranked summary with flagged underperformers.
| Week | Focus | Professional framing |
|---|---|---|
| 1 | Variables, strings, f-strings, booleans, if/elif | "The CMO wants CPL by campaign. Compute one, print it clean." |
| 2 | Lists, loops, dicts, nested structures | "40 campaigns. Group by channel, not by hand." |
| 3 | Functions, defaults, CSV, JSON | "Turn the Monday CPL review into a function you rerun Friday." |
| 4 | Comprehensions, sorting, error handling, capstone | "Ship the end-of-quarter marketing report as code." |
Every lesson is a short Socratic conversation plus one small coding challenge. Tests tell you immediately what went wrong.
You've built reports in Excel, tracked campaigns in HubSpot, and probably have a Salesforce export sitting on your desktop right now. Let me ask you something before we write a single line of code: what's the most painful part of your Monday morning?
Honestly? It's pulling the same data from three places and stitching it together in Excel. Every. Single. Week.
That's exactly what Python replaces. Before we go further, rate yourself on six skills — not on what you wish you could do, but where you actually are today. A 1 on everything is a perfectly honest answer if you've never opened a Python file.
I'm a marketing manager, not a programmer. Is this even for me?
You're already doing the hard part — the analysis, the judgment calls, knowing which metrics matter. Python is just the plumbing that gets the data to your desk without three manual steps. Rate honestly. Day 30 answers show the delta.
Thirty days. One real project: a quarterly campaign report. By Day 28 you'll have working Python that takes a list of campaign dicts — spend, clicks, leads, conversions — groups them by channel, computes CPL and conversion rate, and returns a ranked summary with flagged underperformers.
| Week | Focus | Professional framing |
|---|---|---|
| 1 | Variables, strings, f-strings, booleans, if/elif | "The CMO wants CPL by campaign. Compute one, print it clean." |
| 2 | Lists, loops, dicts, nested structures | "40 campaigns. Group by channel, not by hand." |
| 3 | Functions, defaults, CSV, JSON | "Turn the Monday CPL review into a function you rerun Friday." |
| 4 | Comprehensions, sorting, error handling, capstone | "Ship the end-of-quarter marketing report as code." |
Every lesson is a short Socratic conversation plus one small coding challenge. Tests tell you immediately what went wrong.
