Statistics and Data Analysis with Excel

Coursera MOOC / Non-credit USD 49
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Statistics and Data Analysis with Excel

About this course

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

Skills you'll gain

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