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Introduction to Statistics in Spreadsheets

4.4+
11 reviews
Beginner

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

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4 Hours15 Videos51 Exercises
35,864 Learners

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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 Spreadsheets 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!
  1. 1

    Getting To Know Your Data

    Free

    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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    Welcome to the course!
    50 xp
    Don't be average!
    100 xp
    Presidential approval rating averages
    100 xp
    Difference between median and mean
    100 xp
    Modal madness
    100 xp
    How far from average?
    50 xp
    Train variation
    100 xp
    Calculating standard deviations
    100 xp
    Playing quarters
    100 xp
    Standardizing data
    50 xp
    Comparing z-scores
    100 xp
    Exploring eBay auctions
    100 xp
  2. 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 Spreadsheets using statistical plots such as the histogram, scatter plot, and bar plot.

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In the following tracks

Intermediate Spreadsheets

Collaborators

Collaborator's avatar
Chester Ismay
Collaborator's avatar
Yashas Roy
Ted Kwartler HeadshotTed Kwartler

Adjunct Professor, Harvard University

Ted Kwartler is the VP, Trusted AI at DataRobot. At DataRobot, Ted sets product strategy for explainable and ethical uses of data technology in the company's application. Ted brings unique insights and experience utilizing data, business acumen and ethics to his current and previous positions at Liberty Mutual Insurance and Amazon. In addition to having 4 DataCamp courses he teaches graduate courses at the Harvard Extension School and is the author of Text Mining in Practice with R.
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*4.4
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  • Natthawit J.
    4 months

    Good for beginner learning

  • Albert F.
    9 months

    It is a complex subject that requires more than one reading and understanding.

  • Jonathan V.
    10 months

    I love it! Very clear and too easy to understand.

  • Kamil M.
    12 months

    I love how easy it is to learn with DataCamp. Great content and plenty of paths and courses to choose from. Thanks Guys!

  • Hugo P.
    12 months

    Good course. The exercises were great!

"Good for beginner learning"

Natthawit J.

"It is a complex subject that requires more than one reading and understanding."

Albert F.

"I love it! Very clear and too easy to understand."

Jonathan V.

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