Data Analyst Insights

How to Inspect Data in the Data Analysis Lifecycle
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Before analyzing a dataset, creating charts or building a dashboard, a data analyst must first understand what the data contains. This step is called data inspection. Data inspection helps you answer important questions: How large is the dataset? What does...
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What Is a Dataset? Understanding Features and Target Variables
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When beginners start learning machine learning, they often hear words such as dataset, features, variables, inputs and targets. These terms may sound technical, but they describe a simple idea: using information we already know to understand or predict an outcome....
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How to Collect Data for a Data Analysis Project: A Beginner’s Guide
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Every data analysis project begins with a question—but you cannot answer that question without data. For beginners, finding the right data can feel confusing: Where can I find a dataset? Can I download data for free? What is an API?...
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How to Choose the Right Dataset for a Beginner Data Analysis or Machine Learning Project
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Choosing a dataset is one of the first—and most important—steps in a data project. Many beginners select a dataset because it is popular or has thousands of records. After downloading it, they discover that they do not understand the columns,...
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Understanding the Complete Data Analysis Process
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When beginners receive a new dataset, they often do not know where to begin. Should they clean the data, create charts or immediately start writing SQL and Python code? A data analyst follows a structured process. This process converts raw...
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