Welcome to Part II of Exploring a new dataset with Python! If you missed Part I: The Basics, you can check it out here. In this article, we’ll be returning to our animal mug company’s dataset to continue our exploratory data analysis and answer some new questions about our dataset. We’ll be using Python’s Matplotlib … Continue reading "Exploring a…
Read ArticleApril 22nd, 2020

Exploring a New Dataset With Python: Part I
We’re taking it back to the basics in this article. Why? The day of a Digital Marketer is busy. We’re pulled in all sorts of different directions and are responsible for a lot of different things. In my personal experience, it’s easy to get caught up in non-stop execution and forget that taking the time … Continue reading "Exploring a…
Read ArticleMarch 17th, 2020

Strip Query Strings From URL Data: Python For Digital Marketing
If you’ve ever spent any time in a Google Analytics account, you’re all too familiar with the fact that the data isn’t always pretty. One exceptionally common scenario that us marketers run into all the time is page data being split up due to query parameters in the URL. It’s not uncommon for a landing … Continue reading "Strip Query…
Read ArticleFebruary 18th, 2020

Pandas Groupby Function: Python for Digital Marketing
If you’ve been following along with our Python for Digital Marketing posts, you’ve imported data from Google Analytics into a Jupyter Notebook and may have even combined it with another dataset. If you’ve never been here in your entire life but are starting at a large dataset, you’re probably still in the right place. So … Continue reading "Pandas Groupby…
Read ArticleJanuary 22nd, 2020

Using Python To Combine Datasets For Digital Marketing
Working in digital marketing, there are several reasons why you might want to combine two datasets from two different sources together. It could be combining Google Analytics data from two different accounts or properties, or turning two different reports into one super report – such as combining page data from Screaming Frog with data from … Continue reading "Using Python…
Read ArticleNovember 25th, 2019

Python & Google Analytics: Prepare Data For Analysis [ Jupyter Notebook Template]
To utilize the power of Python to manipulate and analyze your Google Analytics data, the first step is to transform your data into a clean DataFrame that’s ready for analysis. In this article, I’m going to show you how to do just that. After reading, you’ll be ready to get your data out of Google … Continue reading "Python &…
Read ArticleSearch our blog
Recent Posts
Blog Categories
- Agency Advice
- B2B Marketing
- Company News
- Content Marketing
- Conversion Optimization
- Creative
- Data Analysis
- Digital Marketing Training
- Display Advertising & Retargeting
- E-Commerce
- HubSpot Training
- Marketing O'Clock
- Paid Search Marketing
- Python for Digital Marketing
- Search Engine Optimization
- Social Media Marketing
- The Agency Scoop
- Uncategorized
- Web Programming & Development