Excel for Data Analysis

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Excel for Data Analysis

Instructor: LearningMate

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

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.

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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 videosTotal 18 minutes

Finding a Story in 1.1 Billion Taxi Rides7 minutes
From Data to Decisions: Structured Analysis with the Core Four6 minutes
Applying Functions to the Bellabeat Dataset6 minutes

1 readingTotal 10 minutes

Your Analytical Toolkit: Core Statistical Functions10 minutes

2 assignmentsTotal 18 minutes

Hands-On Learning: Quick Insights from Taxi Data13 minutes
Choosing Your Function: Inventory Scenario5 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 videosTotal 17 minutes

From Numbers to Narrative: Visualizing the Bellabeat Story5 minutes
Understanding Conditional Formatting Rules6 minutes
Step-by-Step: Highlighting Key Metrics in Bellabeat Data6 minutes

2 readingsTotal 15 minutes

Career Spotlight: Preventing Stockouts with Visual Alerts7 minutes
Best Practices for Creating Clear Visual Reports8 minutes

2 assignmentsTotal 44 minutes

Customer Satisfaction Analysis Report30 minutes
Hands-On Learning: Highlighting Customer Feedback14 minutes

Instructor

LearningMate

274 Courses20,989 learners

Offered by

Coursera

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