Skip to main content

Pivot Tables in Spreadsheets

Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.

Start Course for Free
4 Hours13 Videos54 Exercises45,670 Learners4150 XPSpreadsheet Fundamentals Track

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA. You confirm you are at least 16 years old (13 if you are an authorized Classrooms user).

Loved by learners at thousands of companies

Course Description

Working with large quantities of data in spreadsheets can be difficult and time-consuming. Have you ever wished there was a quick and efficient way to organize and evaluate your data within seconds? Pivot Tables are your answer! In this course we will explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of datapoints with just a few clicks of the mouse. We will analyze the Average rainfall across multiple US cities, the Top 10 of the Fortune Global 500, and a selection of Films released between 2010 and 2016. You will learn techniques such as sorting, subtotaling, and filtering your data using these real world examples. By the end of the course, you will be able to create your own custom pivot tables with datasets of any size!

  1. 1

    Introduction to Pivot Tables for Google Sheets

    Free

    This chapter will discuss what a pivot table is, how it works, and will lead you through the steps of creating and setting up your first pivot table.

    Play Chapter Now
    Introduction to pivot tables
    50 xp
    Create a pivot table
    100 xp
    Create a pivot table pt 2
    100 xp
    Create a pivot table pt 3
    100 xp
    Pivot table rows and columns
    50 xp
    Select rows
    100 xp
    Select columns
    100 xp
    Rearrange rows and columns
    100 xp
    Pivot table values
    50 xp
    Selecting values
    100 xp
    Selecting multiple values
    100 xp
    Pivot table basics
    50 xp
  2. 2

    Behind the Scenes of the Pivot Table

    This chapter discuss how a pivot table works, and how it deals with the underlying data.

    Play Chapter Now
    How a pivot table works
    50 xp
    What does a pivot table do?
    50 xp
    Analyze the pivot table
    50 xp
    Analyze the pivot table pt 2
    50 xp
    Using filters in a pivot table
    50 xp
    Selecting filters
    100 xp
    Filtering by using a string
    100 xp
    Filtering on min/max values
    100 xp
    Filtering on values
    100 xp
    Putting all the pieces together
    50 xp
    Building a complete pivot table
    100 xp
    Building a complete pivot table pt 2
    100 xp
    Building a complete pivot table pt 3
    100 xp
  3. 3

    Advanced Options

    This chapter will discuss more advanced options that will help you to get the most of your pivot tables.

    Play Chapter Now
    Changing the calculation of values
    50 xp
    Counting text values
    100 xp
    Counting numerical values
    100 xp
    Minimum and maximum values
    100 xp
    Average and median
    100 xp
    Calculated fields
    50 xp
    What can be done with a calculated field
    50 xp
    Create a calculated field
    100 xp
    Create a calculated field pt 2
    100 xp
    Create a calculated field pt 3
    100 xp
    Data as percentages, drilling down, & grouping
    50 xp
    Percentage of grand total
    100 xp
    Percentage of rows
    100 xp
    What does drilling down do?
    50 xp
    Grouping rows
    100 xp
  4. 4

    Editing Data and Troubleshooting

    This chapter will walk you through modifying data in a pivot table, and troubleshooting various issues you may encounter.

    Play Chapter Now
    Adding or Changing Data
    50 xp
    Changing the source data
    50 xp
    Correct the dataset
    100 xp
    Correcting Inconsistent Source Data
    50 xp
    Find and correct the error in the data
    100 xp
    Adding data
    50 xp
    Troubleshooting and Errors
    50 xp
    Finding Missing Data in a Dataset
    50 xp
    Find missing data within this dataset
    100 xp
    Best Practices and Recommendations
    50 xp
    Types of Categories
    50 xp
    Select the Measurements
    100 xp
    Alternatives to Pivot Tables
    50 xp
    Final Thoughts
    50 xp

In the following tracks

Spreadsheet Fundamentals

Collaborators

richieRichie Cottonamy-4121b590-cc52-442a-9779-03eb58089e08Amy Peterson

Prerequisites

Intermediate Spreadsheets
Frank Sumanski Headshot

Frank Sumanski

Founder, SpreadsheetAllstars.com

My mission is to share my passion and knowledge of Microsoft Excel, Data, and Analytics with the world. I founded Office Innovator to provide corporate and academic Microsoft Excel training, and Spreadsheet Allstars to provide daily tips and tricks to hone your skills. I believe that mastering spreadsheets will provide a great foundation for all Data-centric learning. With over 15 years of experience with Excel in professional and academic environments, and an MBA from Rutgers University, I understand its importance in the modern workplace, and have developed training programs to help others learn the vast capabilities that are available to them.
See More

What do other learners have to say?

I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.

Devon Edwards Joseph
Lloyds Banking Group

DataCamp is the top resource I recommend for learning data science.

Louis Maiden
Harvard Business School

DataCamp is by far my favorite website to learn from.

Ronald Bowers
Decision Science Analytics, USAA