And you’ll come away with the code you need to get started exploring your own data.īefore we start, we should mention that Google Colab is a programming environment. We’ll walk you through how to connect Google Ads, Google Sheets, and Google Colab. In the following sections, we’ll show you how you can streamline reporting and skip to the fun part: analysis. Still, every quarter we spend hours on reporting that we could do with a single spreadsheet and a few lines of code. And most of our data comes prepackaged and relatively clean. We aren’t doing complex statistical analysis.

They just don’t always go that deep.īecause, to our chagrin, most marketers aren’t data scientists. They paint a great picture of performance.

Those metrics are useful, don’t get me wrong. “Performance Year Over Year,” “Revenue By Month,” Top Campaigns by Revenue,” and, of course, “Traffic Year Over Year.” It’s not intensive data science. Moreover, when we do get around to the analyses, let’s be honest, we hammer out a collection of averages & time series. We spend the bulk of our time preparing data, which means we have less time to analyze it and help our customers. Most digital marketers don’t spend a lot of time doing analysis. And while you’re pulling, cleaning, and visualizing the same, old data, you’re likely thinking, “I do this all the time. You slowly realize that the coming weeks are going to leave an Excel-style grid burnt on to your vision. A steady stream of client meetings and project reviews is trickling into your calendar.

How to install weka on google colab