In this course you’ll build the skills you need to manage, explore, analyze, and visualize data in Microsoft Excel using real-world projects and datasets.

We’ll start by introducing the Excel landscape and interface, then dive into spreadsheet fundamentals like table structures, data types, formatting, sorting, and filtering.

From there we’ll dig into formulas and functions, introduce key topics like syntax, reference types, and common errors, and practice applying some of the most common and powerful techniques for data management and analysis. We’ll use functions to count and aggregate values, create logical tests, join data across tables, manipulate text and date values, and more.

Next we’ll introduce pivot tables, an essential spreadsheet tool for data exploration. We’ll prepare raw data for analysis, create views to slice and dice the data, apply different calculation options, and use tools like sorting, filtering, and calculated fields.

Last but not least, we’ll dive into the world of data visualization and storytelling, review best practices for effective design, and bring our data to life using essential visuals like bar, line, and pie charts, scatterplots, histograms, and maps.

This is a hands-on and project-based course, designed to help you build practical data literacy and analytical thinking skills. You’ll work with unique, real-world datasets from Flight Delays to Sales Pipelines, and apply the skills you learn every step of the way.