Spring Deals - hours only!Up to 70% off on all courses and bundles.-Close


We live in a world of data. We measure everything from the current temperature to how many steps we take each day. Understanding statistics allows us to analyze and interpret numerical data.

There are two branches of statistics. Purely mathematical statistics, or statistical inference, is about drawing scientific conclusions from data. Descriptive statistics deals with the collection, analysis, presentation, and summarization of data. This introductory course explains the basic concepts of descriptive statistics. It's a must for anyone who works with data.

During this course, you will learn about the three common measures of central tendency: arithmetic mean, median, mode. You'll also learn how to measure the variability of a distribution and compute variance and standard deviation. You'll get to know how to measure asymmetry and you'll be able to define fancy words like "kurtosis" and "skewness". And you'll acquire some basic data visualization skills, too: how to create and read histograms, bar charts, and box plots.

Don't worry if you're completely new to statistics: we've designed this course for absolute beginners. All you need is some basic math skills and an Internet connection.

What Are the Requirements?

Just a web browser

This Course Will Teach You How To:

  • Read and create histograms
  • Visualize a distribution of numerical values
  • Measure the different centers of a distribution: arithmetic mean, median, and mode
  • Measure the variability of a distribution: standard deviation and variance
  • Understand quartiles, percentiles, quantiles
  • Measure the asymmetry of distribution: skewness and kurtosis

Who Should Take This Course?

  • Everyone who wants to learn about statistics
  • Students
  • Beginning data scientists
  • Beginning statisticians

    Start for free
    Gift this course

    Bundle deals


    Reg. price

    Basic Data Analytics

    Includes 8 courses SQL Basics, SQL Practice Set, SQL JOINs, Introduction to R, Tidyverse, Data Visualization 101, Statistics 101, Introduction to Python for Data Science

    Bundle price $95

    37 hours left at this price!

    Table of contents

    Progress: 0% completed 0 of 54 exercises done

    1. Introduction

    What is statistics?

    More details Less
    Start now

    0% completed 0 of 5 exercises done

    2. Histograms

    Learn what histograms are, how to create and how to read them.

    More details Less
    Start now

    0% completed 0 of 8 exercises done

    3. Mean, Median, Mode

    Find out how to identify the center of a distribution

    More details Less
    Start now

    0% completed 0 of 13 exercises done

    4. Measures of Variability

    Learn how to measure how spread out are the values. You'll learn about quartiles, percentiles, standard deviation, variance and more

    More details Less
    Start now

    0% completed 0 of 13 exercises done

    5. Measures of Asymmetry

    Find out how to measure the asymmetry of the distribution. Learn how to calculate and interpret kurtosis and skewness.

    More details Less
    Start now

    0% completed 0 of 5 exercises done

    6. How to Visualize Data – Other Graphs

    Learn more about graphic representations of data. Discover the true power of box charts and box plots.

    More details Less
    Start now

    0% completed 0 of 4 exercises done

    7. Quiz

    Test your knowledge of descriptive statistics.

    More details Less
    Start now

    0% completed 0 of 6 exercises done


    Average rating

    4.5/590.0 (8)


    5 Stars 74%
    4 Stars 13%
    3 Stars 0%
    2 Stars 13%
    1 Stars 0%
      Load more reviews