Advanced data analysis skills are what separate professionals who report on data from those who draw confident, evidence-based conclusions from it. This course takes your statistical toolkit to the highest level, equipping you with the techniques needed to analyse multiple datasets simultaneously, model complex cause-and-effect relationships, incorporate qualitative variables into quantitative models, and generate rigorous forecasts — all in Microsoft Excel.

You'll begin with ANOVA — Analysis of Variance — learning how to compare three or more groups of data using one-way, two-way with replication, and two-way without replication tests. You'll then extend your regression skills into multiple regression, building models with several predictors, generating forecasts, and running the statistical tests that validate your results. Module 3 introduces dummy variable regression — a powerful technique for incorporating categorical data (such as region, product type, or yes/no variables) directly into a quantitative regression model. The course closes with advanced charting and forecasting, covering Bubble Charts for three-variable visualisation, Exponential Smoothing, and Excel's Forecast Sheet, including dashboard design principles and business cycle analysis. Who this is for: Data analysts, business analysts, and research professionals who have completed the Intermediate course in this series and are ready to apply the most demanding statistical techniques available in Excel. Join over 1 million professionals who have advanced their careers with our highly-rated Excel courses. Whether you’re looking to boost your employability, enhance your current role, or simply elevate your Excel skills, this course will provide you with the knowledge and tools to stand out in the competitive job market.