Advance your data analysis skills by learning how to turn messy business questions into clear, structured exploratory analysis. In this course, you’ll build practical exploratory data analysis (EDA) skills used in roles like data analyst, business analyst, product analyst, marketing analyst, and operations analyst. You’ll practice framing an analysis plan, exploring relationships between business metrics, building scatter plots, adding trend lines, measuring correlation, and using multivariate analysis to uncover deeper patterns.

This is a non-traditional, skill-based learning experience organized around real workplace tasks rather than a fixed lecture sequence. The course is designed to mirror responsibilities you may see in job descriptions, such as analyzing KPI relationships, investigating drivers of performance, and generating hypotheses for further research. You can personalize your path based on what you already know, spend more time on the skills you need, and skip content when it’s not necessary. The course brings together high-quality lessons from expert instructors, selected for the strongest coverage of each skill so you can build practical, career-relevant EDA experience. This course is a strong fit if you already have basic experience with data analysis, spreadsheets, or introductory statistics. By the end of the course, you’ll be able to turn business questions into a structured exploratory data analysis plan for reports and metric investigations. You’ll use scatter plots, trend lines, and correlation to analyze relationships between variables, then extend your analysis with multivariate techniques, identify possible confounding variables, and generate testable hypotheses for deeper research.