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⇱ Excel for Data Analysis | Coursera

Excel for Data Analysis

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Excel for Data Analysis

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze data with stats and conditional formatting to summarize and highlight key insights.

Details to know

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Recently updated!

April 2026

Assessments

4 assignments¹

AI Graded see disclaimer
Taught in English

There are 2 modules in this course

In a world driven by data, the ability to extract meaningful insights is a critical skill. This course, Excel for Data Analysis: From Functions to Insights, is a beginner-friendly guide to transforming raw numbers into a compelling business story using one of the most powerful tools at your disposal: Microsoft Excel. You will move beyond basic data entry and master essential statistical functions, such as AVERAGE, MEDIAN, STDEV, and COUNTIF, to summarize complex datasets and uncover key performance metrics.

But numbers alone don't tell the whole story. You will also learn the art of visual storytelling by applying conditional formatting to make your data pop, instantly highlighting trends, outliers, and areas needing attention. Through practical, real-world scenarios, from tracking sales performa nce to analyzing customer satisfaction (NPS) data, you will learn to choose the right tools to answer specific business questions. The course culminates in a hands-on project where you will analyze a dataset and build a summary report, demonstrating your ability to turn data into actionable insights with confidence.

This module introduces the foundational statistical functions essential for any data analysis task. Learners will go beyond memorizing syntax to understand when and why to use functions, such as AVERAGE, MEDIAN, and COUNTIF. By drawing on the analysis of 1.1 billion NYC taxi trips and the Bellabeat health-tech case study, learners will practice applying these functions to transform raw data into clear business insights.

What's included

3 videos1 reading2 assignments

3 videos•Total 18 minutes
  • Finding a Story in 1.1 Billion Taxi Rides•7 minutes
  • From Data to Decisions: Structured Analysis with the Core Four•6 minutes
  • Applying Functions to the Bellabeat Dataset•6 minutes
1 reading•Total 10 minutes
  • Your Analytical Toolkit: Core Statistical Functions•10 minutes
2 assignments•Total 18 minutes
  • Hands-On Learning: Quick Insights from Taxi Data•13 minutes
  • Choosing Your Function: Inventory Scenario•5 minutes

In this module, learners will discover how to turn data into a visual story. They will learn to apply conditional formatting rules to automatically highlight key data points, exceptions, and trends. Building on the Bellabeat case study and the inventory management scenario, learners will practice developing insights that are immediately apparent to stakeholders, a crucial skill for effective data communication and reporting.

What's included

3 videos2 readings2 assignments

3 videos•Total 17 minutes
  • From Numbers to Narrative: Visualizing the Bellabeat Story•5 minutes
  • Understanding Conditional Formatting Rules•6 minutes
  • Step-by-Step: Highlighting Key Metrics in Bellabeat Data•6 minutes
2 readings•Total 15 minutes
  • Career Spotlight: Preventing Stockouts with Visual Alerts•7 minutes
  • Best Practices for Creating Clear Visual Reports•8 minutes
2 assignments•Total 44 minutes
  • Customer Satisfaction Analysis Report•30 minutes
  • Hands-On Learning: Highlighting Customer Feedback•14 minutes

Instructor

276 Courses•32,273 learners

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Frequently asked questions

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.