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CourseraExcel Fundamentals for Data Analysis
4.8(4,303)231k studentsINTERMEDIATEEnglish
Korshub's take
Korshub take
The opening course in the Excel Skills for Data Analysis and Visualization Specialization, this intermediate program treats Excel not as a spreadsheet tool but as a genuine data-analysis platform. It has drawn 231,986 learners who want to work with data quickly and accurately without necessarily learning a programming language first.
The curriculum covers the practical backbone of data work: wrangling, cleansing, transformation, and preprocessing, alongside the Excel formulas and functions that make manipulating large datasets manageable. It is built for people who need reliable, repeatable analysis workflows, not one-off manual cleanup.
Who it's for
- Analysts who want stronger, more automated Excel-based data workflows
- Professionals transitioning into data-analysis-adjacent roles
- Anyone tired of manually cleaning the same messy spreadsheets
A practical stepping stone if you're building data-analysis skills before moving on to dedicated tools like SQL or Python.
About this course
As data becomes the modern currency, so the ability to analyse the data quickly and accurately has become of paramount importance. Excel with its extraordinarily broad range of features and capabilities is one of the most widely used programs for doing this. In the first course of our Excel Skills for Data Analysis and Visualization Specialization, you will learn the fundamentals of Excel for data analysis. When you have completed the course, you will be able to use a range of Excel tools and fu
Skills you'll gain: Microsoft Excel, Excel Formulas, Data Transformation, Spreadsheet Software, Data Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Data Processing, Data Preprocessing, Automation.
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