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Introduction to Statistics in Google Sheets

BasicSkill Level
4.8+
555 reviews
Updated 12/2023
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
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Google SheetsProbability & Statistics4 hr15 videos51 Exercises4,350 XP46,654Statement of Accomplishment

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Course Description

Statistics is the science that deals with the collection, analysis, and interpretation of data. Having a solid foundation in statistics will help you effectively work with your data to test hypotheses and uncover insights that can help solve your problems. This course is designed to give you that foundation in statistics. Using Google Sheets functions, you'll dive into averages, distributions, hypothesis testing, and conclude the course by applying your newfound knowledge in a case study. Along the way, you'll work with a variety of datasets ranging from eBay auctions to train ridership to historical presidential approval ratings. Enjoy!

Comprehensive Curriculum

This course offers a comprehensive curriculum covering the fundamental aspects of statistical analysis. You'll start with the basics of data collection and move on to exploring different types of data and their properties. We'll delve into descriptive statistics, teaching you how to summarize and interpret data using measures like mean, median, and mode. You'll also learn about probability and its role in statistics, including concepts such as probability distributions and expected values.

Practical Application and Case Studies

One of the unique aspects of this course is the emphasis on practical application. You'll not only learn the theory behind statistical methods but also how to apply them in real-world scenarios using Google Sheets. This hands-on approach is further enhanced by a series of case studies. These case studies, using diverse datasets such as eBay auctions, train ridership, and historical presidential approval ratings, will provide you with the opportunity to apply your knowledge and skills in analyzing and interpreting real data. By the end of the course, you'll be able to conduct your own analyses and draw meaningful conclusions from data sets in various contexts.

Prerequisites

Data Analysis in Google Sheets
1

Getting To Know Your Data

Begin your journey by learning why and how to summarize your data using statistics such as the mean, median, and mode. While working with a variety of datasets ranging from Amazon revenue to U.S Presidential ratings, you'll learn about the differences between each of these fundamental statistics and most importantly, when to use each.
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2

Statistical Data Visualization

Data visualization is one of the most important parts of any data science workflow. It leads to a deeper understanding of your dataset which in turn allows you to more effectively communicate results to stakeholders. In this chapter, you'll learn how to visualize your data in Google Sheets using statistical plots such as the histogram, scatter plot, and bar plot.
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3

Statistical Hypothesis Testing

4

Case Study: Dating Profile Analysis

Introduction to Statistics in Google Sheets
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Don’t just take our word for it

*4.8
from 555 reviews
84%
14%
2%
0%
0%
  • Maria V
    2 days ago

  • Franz
    3 days ago

  • Oluwatobiju
    5 days ago

  • Cristian
    5 days ago

  • eric
    last week

    This course is a clear and practical introduction to statistical testing in spreadsheets. I appreciated how it walked through real-world examples—t-tests, z-tests, chi-squared tests, and regression—using relatable datasets like salaries, login behavior, and user profiles. The exercises were hands-on and helped me understand not just the formulas, but also the reasoning behind when to use each test. By the end, I felt confident applying these tools to analyze data distributions, test hypotheses, and interpret results in a meaningful way. It’s concise, engaging, and very useful for anyone wanting to strengthen their data analysis skills.

  • Anh Duc
    last week

Maria V

Franz

Oluwatobiju

FAQs

Do I need prior experience with Google Sheets before taking this course?

Yes. You should complete Data Analysis in Google Sheets and Introduction to Google Sheets first, as this course builds on foundational spreadsheet skills.

What statistical methods will I learn using Google Sheets functions?

You will learn to calculate mean, median, and mode, create histograms and scatter plots, perform hypothesis testing, and apply these techniques in a dating profile case study.

What real-world datasets are used in this course?

You will work with datasets on eBay auctions, train ridership, Amazon revenue, U.S. presidential approval ratings, and online dating profiles.

Will this course teach me how to create statistical visualizations in Google Sheets?

Yes. Chapter 2 covers statistical data visualization, including how to build histograms, scatter plots, and bar plots directly in Google Sheets.

How long does this course typically take to complete?

The course has 4 chapters and 51 exercises. Most learners complete it in about 3 hours, though the estimated time is 240 minutes.

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