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Python for SEOs
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Python for SEOs

[Image: th_qlP9wscSpfsj9nD0Q1Sf0LTIKqrqQk3y.avif]

Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 13m | Size: 2.2 GB

Learn to Automate and Analyze Data with Python


What you'll learn
Automate SEO Tasks with Python
Analyze SEO Data at Scale
Build Custom SEO Tools and Workflows
Integrate Python into Real SEO Projects
Requirements
No prior programming knowledge is needed, you'll learn everything.
Description
Never coded before? No problem!This course is designed specifically for SEOs who are new to coding but eager to unlock the power of Python. You don't need any technical background, fancy math skills, or experience with programming-just a genuine curiosity and a willingness to learn.Whether you're an in-house SEO, freelancer, or agency pro, you've probably hit limits with spreadsheets, manual audits, or clunky tools. That's where Python comes in-and this course is your gateway. We'll demystify the code, break things down step-by-step, and focus only on what's truly useful for your day-to-day SEO work.In just a few hours, you'll go from zero to writing simple Python scripts, exploring real SEO datasets, and even building small automation tools to solve problems you face every day. You'll learn through a mix of live demos, hands-on exercises, and practical examples pulled straight from the SEO world-no boring theory, just results you can use.By the end of the course, you'll have:- A solid grasp of Python basics- A toolkit of reusable scripts tailored for SEO tasks- The confidence to start experimenting and exploring on your ownWhether you're looking to automate tedious reporting, analyze thousands of keywords in seconds, or just speak the same language as your dev team-this course is your first (and most important) step into technical SEO with Python.
Who this course is for
SEOs willing to take their skillset to the next level, and want to level up from spreadsheets and manual tasks to automation and data-driven insights using Python.
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