Exploratory Data Analysis with Power BI

Before building a dashboard, you must understand the story your data is telling. Exploratory Data Analysis (EDA) is the essential first step to ensuring your insights are accurate and meaningful. This course guides you through the process of investigating datasets to discover patterns, spot anomalies, and check assumptions using Power BI. You will move beyond basic reporting to become a data-driven investigator who can confidently explain the logic behind the numbers. By the end of this course, you will be able to audit any dataset for quality and extract preliminary insights that drive better business decisions. What you'll learn: - Understand the core principles of descriptive statistics and data profiling. - Clean and transform datasets by identifying missing values and handling outliers. - Analyze data distributions using written guides on histograms and box plot techniques. - Evaluate relationships between variables through scatter plots and correlation analysis. - Apply Power Query transformations to prepare messy data for exploration. - Practice interpreting categorical and continuous data to choose the right visualization. The course begins with foundational definitions and data profiling concepts before moving into practical techniques for statistical analysis and correlation testing. You will learn a structured workflow for auditing data quality and extracting insights through written explanations and code-based examples. This course is designed for beginners and aspiring data analysts who want to build a strong analytical foundation. No previous experience with statistics or advanced business intelligence tools is required. Start your journey into professional data exploration today.