Core Statistical Concepts for Economic Analysis

Economic data drives policy and business decisions, but interpreting it requires specialized quantitative skills. This course provides the statistical foundation necessary to move beyond simple observation to genuine analysis. By the end of this course, you will be able to confidently handle raw economic data, apply appropriate statistical measures, and present your findings clearly, setting a strong basis for further study in economics or data science. What you'll learn: * Learn the principles of data collection, classification, and tabulation relevant to economic studies. * Understand how to calculate and interpret measures of central tendency (mean, median, mode) and measures of dispersion (variance, standard deviation). * Apply correlation and regression analysis techniques to model relationships between economic variables. * Practice interpreting index numbers, including price indices and consumer price indices, crucial for measuring inflation. * Analyze and interpret basic graphical representations of economic data, focusing on frequency distributions and time series plots. The course begins with foundational definitions and data management principles, progresses through descriptive statistics, and concludes with an introduction to relational analysis and index numbers, supported by practical, written exercises. This course is designed for absolute beginners, including students and professionals who need a quantitative foundation for economic study. No prior knowledge of statistics or advanced mathematics is required. Start building your essential economic statistics toolkit today.