So far this year, we’ve challenged you to improve your storytelling skills, equipped you with strategies for handling audience questions like a pro, and introduced you to three crucial tests for preparing your data visualizations for Prime Time. In this post, I aim to provide some insight into a fundamental concept that ties together all […]

Today’s post will highlight an important topic covered in the course — and is all about practical strategies you can apply immediately. Let’s talk about a crucial (and often nerve-wracking) skill for any data storyteller: handling audience questions with confidence. This is especially important when presenting complex data analysis. After crafting a remarkable data story […]

Over the past two weeks, we’ve laid the foundation for understanding inferential statistics — from its core principles to real-world applications and limitations. Now it’s time to build out the toolbox and explore the key techniques that make inferential statistics a practical part of your analytical approach. These methods help us compare groups, test hypotheses, […]

In previous posts, we explored the role of descriptive statistics in summarizing data and how correlation matrices can reveal connections between variables. Now, we’ll advance to the next stage: analyzing sample data to understand the broader population. This is where inferential statistics come into play, allowing us to make forecasts, test theories, and draw significant […]

Customer Lifetime Value (CLV) is a crucial metric for understanding your customer base and their value to your business. It plays a significant role in developing personalized strategies that focus on maximizing value by identifying and investing in high-CLV customers. Pioneers like Peter Fader and Dan McCarthy have demonstrated the power of prioritizing customer value […]