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Course overview

This course is part of the “Introduction to Data Analysis with Excel” skill path, which we designed for those seeking the practical skills in Excel to perform data analysis and visualization — and ultimately help organizations make better-informed decisions. We designed it for aspiring data professionals with little experience and learners who use basic Excel in their daily jobs and want to enhance their skills.

In this course, you’ll learn why we need descriptive statistics, how to explore and apply multiple summary statistics to a spreadsheet in Excel, how to identify which statistics apply to which data type, and how to apply descriptive statistics to groups of data.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.

Key skills

  • Identifying the different types of descriptive statistics
  • Identifying when to use each descriptive statistic
  • Applying and comparing different descriptive statistics to a single column, to multiple columns, and to groups of data
  • Creating visualizations to explore and analyze data

Course outline

Exploring Data in Excel [5 lessons]

Introduction to Descriptive Statistics 1h

Lesson Objectives
  • Define a descriptive statistic
  • Use COUNT, MIN, and MAX to describe a dataset
  • Identify what datatypes can be used with AVERAGE
  • Use AVERAGE to describe a few different datatype columns

Diving Deeper with Descriptive Statistics 1h

Lesson Objectives
  • Identify different measures of central tendency, such as the mean, median and mode
  • Identify different measures of spread, such as the range, standard deviation and interquartile range
  • Recognize the impact of outliers on descriptive statistics
  • Identify the difference between percentiles and quartiles
  • Describe the five-number summary

Applied Descriptive Statistics 1h

Lesson Objectives
  • Analyze multiple descriptive statistics for a single column
  • Compare descriptive statistics for multiple columns and groups
  • Conduct exploratory data analysis using PivotTables

Exploring Data with Data Visualization 2h

Lesson Objectives
  • Visualize and interpret normal, uniform, and skewed distributions
  • Describe the data distributions without calculating descriptive statistics
  • Create boxplots
  • Interpret boxplots

Guided Project: Identifying Customers Likely to Churn for a Telecommunications Provider 1h

Lesson Objectives
  • Calculate descriptive statistics using Excel functions
  • Use descriptive statistics to analyze real-world data
  • Create PivotTables to explore differences in the data
  • Compare and contrast histograms to analyze frequency distributions
  • Compile a report in Excel comprised of data visualizations and tabular data

Projects in this course

Guided Project: Identifying Customers Likely to Churn for a Telecommunications Provider

For this project, you’ll act as a data analyst for a telecommunications company. You’ll use Excel to explore customer data and build profiles of those likely to churn, applying statistics, PivotTables and charts.

The Dataquest guarantee


Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.


We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

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