Skip to main content
HomeProbability & StatisticsIntroduction to Statistics

Introduction to Statistics

4.2+
124 reviews
Beginner

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

Start Course for Free
4 Hours16 Videos56 Exercises
69,406 LearnersTrophyStatement of Accomplishment

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.
GroupTraining 2 or more people?Try DataCamp For Business

Loved by learners at thousands of companies


Course Description

Statistics are all around us, from marketing to sales to healthcare. The ability to collect, analyze, and draw conclusions from data is not only extremely valuable, but it is also becoming commonplace to expect roles that are not traditionally analytical to understand the fundamental concepts of statistics. This course will equip you with the necessary skills to feel confident in working with analyzing data to draw insights. You'll be introduced to common methods used for summarizing and describing data, learn how probability can be applied to commercial scenarios, and discover how experiments are conducted to understand relationships and patterns. You'll work with real-world datasets including crime data in London, England, and sales data from an online retail company!
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more
Try DataCamp for BusinessFor a bespoke solution book a demo.

In the following Tracks

Certification Available

Data Literacy Professional

Go To Track
Certification Available

Associate Data Analyst in SQL

Go To Track
  1. 1

    Summary Statistics

    Free

    Summary statistics gives you the tools you need to describe your data. In this chapter, you'll explore summary statistics including mean, median, and standard deviation, and learn how to accurately interpret them. You'll also develop your critical thinking skills, allowing you to choose the best summary statistics for your data.

    Play Chapter Now
    What is statistics?
    50 xp
    Using statistics in the real-world
    50 xp
    Identifying data types
    100 xp
    Descriptive vs. Inferential statistics
    100 xp
    Measures of center
    50 xp
    Typical number of robberies per London Borough
    50 xp
    Choosing a measure
    50 xp
    London Boroughs with most frequent crimes
    50 xp
    Measures of spread
    50 xp
    Defining measures of spread
    100 xp
    Box plots for measuring spread
    50 xp
    Which crime has the larger standard deviation
    50 xp
  2. 2

    Probability and distributions

    Probability underpins a large part of statistics, where it is used to calculate the chance of events occurring. You'll work with real-world sales data and learn how data with different values can be interpreted as a probability distribution. You'll find out about discrete and continuous probability distributions, including the discovery of the normal distribution and how it occurs frequently in natural events!

    Play Chapter Now
  3. 3

    More Distributions and the Central Limit Theorem

    It's time to explore more probability distributions. You'll learn about the binomial distribution for visualizing the probability of binary outcomes, and one of the most important distributions in statistics, the normal distribution. You'll see how distributions can be described by their shape, along with discovering the Poisson distribution and its role in calculating the probabilities of events occuring over time. You'll also gain an understanding of the central limit theorem!

    Play Chapter Now
  4. 4

    Correlation and Hypothesis Testing

    In the final chapter, you'll be introduced to hypothesis testing and how it can be used to accurately draw conclusions about a population. You'll discover correlation and how it can be used to quantify a linear relationship between two variables. You'll find out about experimental design techniques such as randomization and blinding. You'll also learn about concepts used to minimize the risk of drawing the wrong conclusion about the results of hypothesis tests!

    Play Chapter Now
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Certification Available

Data Literacy Professional

Go To Track
Certification Available

Associate Data Analyst in SQL

Go To Track

Collaborators

Collaborator's avatar
James Chapman
Collaborator's avatar
Izzy Weber
George Boorman HeadshotGeorge Boorman

Curriculum Manager, DataCamp

George is a Curriculum Manager at DataCamp. He holds a PGDip in Exercise for Health and BSc (Hons) in Sports Science and has experience in project management across public health, applied research, and not-for-profit sectors. George is passionate about sports, tech for good, and all things data science.
See More

Don’t just take our word for it

*4.2
from 124 reviews
60%
18%
14%
6%
2%
Sort by
  • Miguel M.
    about 2 months

    Nothing the course is very intersting

  • Maja L.
    5 months

    Another great course!

  • Павло Ф.
    6 months

    Well-structured course with real-world examples. Works for me. Thank you!

  • Nicolas D.
    6 months

    Really good summary of statistics.

  • Dimitrios M.
    7 months

    great content

"Nothing the course is very intersting"

Miguel M.

"Another great course!"

Maja L.

"Well-structured course with real-world examples. Works for me. Thank you!"

Павло Ф.

FAQs

Join over 14 million learners and start Introduction to Statistics today!

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.