When it comes to learning data science, one of the challenges we face is just how seemingly daunting the field is to learn. There are so many techniques, tactics, and strategies that it’s difficult to know where to start. Learning something new always begins with an understanding of the basics. From martial arts to dance…
Summary In today's episode, I walk through what to do when your data analysis comes up empty and how the team pivots toward influencer network mapping as a practical next step. Here's what this means for you. You'll see how a failed analysis still creates real value by exposing gaps in your data and pointing…
Summary In today's episode, I walk through Part 3 of cleaning and prepping data for machine learning analysis, using a real Twitter analytics dataset to demonstrate advanced feature engineering, error detection, and analytic approach selection. Here's what this means for you. You gain a realistic understanding that data preparation is where most of the work…
Summary In today's episode, I walk through part two of cleaning and prepping Twitter data for analysis, using a real dataset to demonstrate feature engineering, quality checks, and initial model testing. Here's what this means for you. You'll understand why thorough upfront data preparation saves significant time and money when running machine learning models. You'll…
Summary In today's episode, I walk through the fundamentals of data preparation for analysis as the first installment in a multi-week series on getting your marketing data ready for meaningful insights. Here's what this means for you. You gain a practical framework for evaluating whether you can actually use your data before you spend time…
Summary In today's episode, I walk through how far in advance you need to start planning digital marketing campaigns for seasonal and holiday shifts. Here's what this means for you. You get a three-step framework that helps you avoid missing critical marketing windows and wasting ad spend on poorly timed campaigns. You'll also learn these…
Summary In today's episode, I explore how to use an engineer with strong data analysis skills and SEO interest but no marketing background by mapping their core technical capabilities to your marketing needs. Here's what this means for you. You gain a practical framework for turning technical talent into marketing value, which saves you time…
Kait asks, “How do you suggest to go about to creating a data-driven strategy standard and breaking the “because we’ve always done it this way” mentality?” Strategy is always a sale. Every sale has to answer the question, “What’s in it for me?” for the buyer. Not what’s best for the company, for the organization,…
