Monina asks, “How can predictive analytics make your content more effective?” Predictive analytics comes in two flavors – understanding and building a predictive model of what makes something work, and time-series forecasting to predict when something will happen. Both techniques are invaluable for boosting your content marketing power. Watch the video for details. Can’t see…
Summary In today's episode, I break down how predictive analytics can make your content more effective by exploring two main branches—predictive modeling and time series forecasting. Here's what this means for you. You'll discover how to focus on what works and time your content for maximum relevance and freshness. You'll also learn these concepts: how…
Monina asks, “What steps make up a data science lifecycle? Where do you begin?” The short answer to this question is to define the problem and hypothesis, prepare your data, explore your data, test your hypothesis, build a model, validate the model, and then deploy and observe. Each stage is composed of multiple sub-steps. Watch…
Summary In today's episode, I walk through every stage of the data science lifecycle and explain why each step matters. Here's what this means for you. You get a clear roadmap for turning raw questions into tested, deployable models you can defend. You'll also learn these concepts: why defining the problem and stating a provable…
Summary In today's episode, I walk through how to build a burning question before attending a marketing conference so you get real value from the experience. Here's what this means for you. You learn a focused framework that turns vague conference attendance into actionable answers for your most pressing professional challenges. You'll also learn these…
