What you'll learn

Understanding relationships between variables is a key concept of data analysis, and it can be tempting to overinterpret the meaning of patterns in your data. In this course, Correlation and Relationships in Data, you’ll gain the ability to explore, measure, and interpret relationships between variables in datasets. First, you’ll explore how to visually identify relationships using scatter plots and how to distinguish between independent and dependent variables. Next, you’ll discover how covariance and the Pearson correlation coefficient can be used to describe the direction and strength of linear relationships. Finally, you’ll learn how to recognize the limits of correlation and avoid unsupported causal conclusions and understand how correlation connects to regression and machine learning. When you’re finished with this course, you’ll have the skills and knowledge of relationships in data needed to interpret variable relationships, communicate findings responsibly, and be ready for more advanced data modeling steps.