Introduction to Data Science: A Low-Code Project-Based Approach

Now that we have established a foundation in data science concepts and developed investigation plans, we’re ready to start working with data more directly. In this unit, we’ll explore essential "data moves"—the operations we perform to transform raw data into meaningful insights.

Data rarely comes in perfect form, ready for analysis. Instead, we typically need to clean it, organize it, filter it, summarize it, and create new calculations to answer our questions. These data moves are the building blocks of data science work, enabling us to reveal patterns and stories within our datasets.

Throughout this unit, we’ll continue working with our Community Health and Environment dataset while you apply similar techniques to your own chosen datasets. By the end of this unit, you’ll have a toolkit of essential data moves to prepare your data for deeper analysis and visualization.