Statistical literacy is a highly transferable professional skill. This Specialization offers a structured path from descriptive statistics to advanced predictive modelling using Microsoft Excel. Across three progressively demanding courses, you will build essential skills for business, health, science, finance, and operations, learning to summarise and describe data, and mastering hypothesis testing, PivotTable analysis, and statistical inference. Using Excel's Data Analysis ToolPak across all three courses, you'll work with ANOVA, multiple regression, and advanced forecasting tools to build models that answer complex questions. Each course includes downloadable workbooks, graded assignments, and a final project to ensure hands-on proficiency. By the end of this Specialization, you'll be able to design statistical models, evaluate their quality, generate forecasts, and present findings through interactive visualisations — skills that stand out in any data-facing role. Ideal for business professionals, analysts, researchers, and students across any field, this program requires no prior experience. Join over 1 million professionals who have advanced their careers with our highly-rated courses. Whether you're aiming to boost your employability, enhance your current role, or elevate your Excel skills, this industry-endorsed program provides the knowledge and tools to help you excel in a competitive job market.
What you'll learn
understand descriptive statistics
perform hypothesis testing
analyze data using PivotTables
conduct ANOVA and multiple regression analysis
build and evaluate statistical models
create forecasts and visualizations using Excel
Course objectives
to improve statistical literacy for business applications
to develop proficiency in Excel's data analysis tools
to enable effective data presentation through visualizations