Statistical Tools for Financial Analysis

Learn how to analyze financial datasets using statistical tools and Excel-based analytical techniques to identify trends, evaluate market data, and support data-driven financial decisions. Master practical financial analytics skills used by analysts and finance professionals. This course provides a hands-on introduction to statistical analysis for financial data using spreadsheet tools and real-world market examples. You’ll learn how to calculate and interpret key statistical measures such as mean, trimmed mean, geometric mean, mode, maximum and minimum values, and standard deviation to evaluate financial performance and data variability. Throughout the course, you’ll apply practical spreadsheet functions including SUMPRODUCT, SUMIF, exponential, logarithmic, and absolute value calculations to analyze financial datasets effectively. You’ll also learn how to rank stock returns, apply threshold-based filtering, and compare financial data across stock exchanges such as BSE and NSE to identify meaningful patterns and market insights. What makes this course unique is its practical, spreadsheet-driven approach that combines statistical reasoning with real financial data analysis. Instead of focusing only on theory, learners gain hands-on experience applying quantitative methods directly to financial datasets. By the end of the course, you’ll be able to confidently analyze financial data, interpret statistical results, apply advanced spreadsheet functions, and make informed financial decisions using quantitative analysis techniques.