Statistics: Unlocking the World of Data

Statistics: Unlocking the World of Data Free, eight-week online course introducing the key ideas and methods of statistics, created by the U

Statistics: Unlocking the World of Data is a free, six-week MOOC (Massive Open Online Course) created by the University of Edinburgh. The course introduces the key ideas and methods of statistics, the discipline that allows us to analyse and interpret data. Sign up at https://www.edx.org/course/statistics-unlocking-world-data-edinburghx-statsx.

21/02/2023

From global warming to modern day slavery, and from biodiversity to pharmaceuticals, statistics can help us to answer difficult research questions. One of the most powerful tools for this is the hypothesis test. Learn more in Week 7 of

14/02/2023

How can we tell if crime rates in our local area are rising? How can we judge how dangerous an operation is? To answer these type of questions, we need to make some sort of estimate. This week in the course, we'll look at how to make estimates, and how we can quantify the uncertainty of our estimates.

07/02/2023

We're over half way through and into Week 5 of ! This week we're looking at how we can describe the probability of different things happening using probability distributions, a fundamental part of the field of statistics.

Welcome to Week 4 of the course. This week we will look at probability: the subject which allows us to study chance and ...
31/01/2023

Welcome to Week 4 of the course. This week we will look at probability: the subject which allows us to study chance and uncertainty.

It's still not too late to enrol:

Explore the ideas and methods behind the statistics you encounter in everyday life.

Welcome to week 3 of the course! From election polls to clinical trials, this week we look at some key methods of collec...
24/01/2023

Welcome to week 3 of the course! From election polls to clinical trials, this week we look at some key methods of collecting data, along with some of the issues we might face when interpreting the data.

There's still time to enrol:

Explore the ideas and methods behind the statistics you encounter in everyday life.

Welcome to Week 2! So far, we have looked at some key methods that statisticians use to visualise and summarise data. Th...
17/01/2023

Welcome to Week 2! So far, we have looked at some key methods that statisticians use to visualise and summarise data. This week on the course, we will be exploring exactly what the patterns in graphs and charts can, and can’t, tell us.

It is definitely not too late to enrol:

Explore the ideas and methods behind the statistics you encounter in everyday life.

The course is now live! Welcome to our eight week journey into the heart of statistics. This week we will focus on ways ...
11/01/2023

The course is now live! Welcome to our eight week journey into the heart of statistics.

This week we will focus on ways of presenting and summarising data so that we can better understand the world around us.

There is still time to enrol:

Explore the ideas and methods behind the statistics you encounter in everyday life.

The seventh edition of our introductory course in statistics will launch on the 10th of January 2023! 🥳 And there's stil...
22/12/2022

The seventh edition of our introductory course in statistics will launch on the 10th of January 2023! 🥳 And there's still plenty of time to enrol. Find out more at

Explore the ideas and methods behind the statistics you encounter in everyday life.

06/03/2022

Can you believe we're now half way through Week 8, the final week of the course? This week we we're looking at some further statistical tests that are often used in scientific research. Don't panic if you're a bit behind though, as the course materials will be available for an additional three weeks after this one.

16/02/2022

How can we tell if crime rates in our local area are rising? How can we judge how dangerous an operation is? To answer these type of questions, we need to make some sort of estimate. This week in the course, we'll look at how to make estimates, and how we can quantify the uncertainty of our estimates.

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