• $200 or 2 monthly payments of $100

Introduction to Python for Marketers

  • Course
  • 32 Lessons

Never coded before? No problem! This live, interactive workshop is designed to introduce marketers like you to the world of Python. In just a couple of hours, you'll go from zero to building your first Python projects.

Course Review

Learn to Code, the Practical Way!

Python Training Member

Course Review

Andrea Dominguez Aquino

Python Training Member

"I’m amazed by Sara Taher’s Python for SEO course! She teaches from the basics, and it's opened up so many ideas for applying Python to SEO projects. Here, I’ve used data from Search Console and the API to run valuable analyses with just a few lines of code, including creating a custom click curve analysis. 😊"

I recently completed the "Python for Marketers" course, and I must say it was an incredibly valuable experience. The course content was well-structured, comprehensive, and highly relevant to my needs as a marketer and. I gained a solid understanding of how to apply Python in various marketing scenarios, which has already started to benefit my work. A special thanks to the instructor, Sara Taher, for her clear explanations and practical examples. Her teaching style made complex concepts easy to grasp, and her passion for the subject was evident throughout the course. The knowledge I gained has been instrumental in enhancing my skills and confidence in using Python for data analysis and automation in marketing. I highly recommend this course to any marketer looking to leverage Python in their work. It's a game-changer! Rating: ⭐⭐⭐⭐⭐ (5/5)

Course Review

Python Training Member

Why Learn Python for SEO

Contents

The Basics

Welcome to Python for Marketers. This section will run you through python basics and get you setup with things you need to know, to build real-life projects. While this is not everything about python, this is enough to give you a good start.

Good luck!

Intro
  • 2 mins
  • 3.82 MB
Colab, Print, Input, & Comments
  • 8 mins
  • 12.3 MB
AI-Assisted Coding
  • 5 mins
  • 7.18 MB
Preview
Python Data Types & If Statements
  • 19 mins
  • 31.8 MB
Lists & Loops
  • 18 mins
  • 27 MB
Built-In Functions
  • 13 mins
  • 20.7 MB
Custom Functions
  • 6 mins
  • 10.6 MB

Practical Real Life Python for SEO Automation

Web Scraping With Python
  • 12 mins
  • 20 MB
Scrape Google Search Results for a Keyword
  • 10 mins
  • 21.5 MB
Keyword Cannibalization
  • 7 mins
  • 17.8 MB
Using the Wikipedia API
  • 8 mins
  • 17.5 MB
Page Speed API
  • 6 mins
  • 14.4 MB
Internal Linking With Python
  • 5 mins
  • 11.5 MB
Query Answer Classifier
  • 5 mins
  • 10.3 MB
Get List of URLs from Sitemap
  • 4 mins
  • 16.8 MB
People Also Asked Python Script
  • 8 mins
  • 89.7 MB

Practical Real Life Python for Data Tasks

In this section we will cover simple examples for analyzing data and plotting graphs with python.

Getting Data from Spreadsheets
  • 7 mins
  • 14.6 MB
Small Quick Tip
  • 3 mins
  • 5 MB
Preview
Plotting Bar Charts & Line Charts with Python
  • 5 mins
  • 10.6 MB
Create a Custom Click Curve
  • 6 mins
  • 13.8 MB
Find Queries With High Impressions But Low Clicks
  • 7 mins
  • 13.2 MB
Create a Bar Chart of Top Queries by Clicks
  • 6 mins
  • 12.1 MB
Create a Histogram to Analyze Position Distribution
  • 5 mins
  • 11.1 MB
Google Trends API
  • 10 mins
  • 28.7 MB
Forecasting for SEO [4 Different Models]
  • 12 mins
  • 34.3 MB

Google Search Console

I made this a separate section because this is very important. Learn how to use GSC API with Python.

GSC API
  • 7 mins
  • 24.5 MB

Using Machine Learning in Python for SEO

Analyzing Titles in SERPs
  • 7 mins
  • 16.9 MB
TF-IDF Keyword Clustering
  • 5 mins
  • 23.7 MB
Calculate Keyword and URL Relevance [Cosine Similarity + Word2Vec]
  • 8 mins
  • 18.3 MB
Keyword Clustering with Word2Vec & K Means
  • 6 mins
  • 15.2 MB

Using LLMs With Python

Meta Description + Claude API
  • 6 mins
  • 13.5 MB

Additional Resouces

Recording: October Live Python Coding Session
  • 42 mins
  • 97.7 MB