Study statistics online

Statistics are all around us. In fact, we ourselves are all statistics. Statistical knowledge is becoming more and more important, as using the statistics that are all around us will help us to make predictions, make decisions, and even discover new and informative pieces of information.

Using the proper methods to collect and analyse data, as well as to be able to correctly and effectively present the results, allows us to understand a subject with more authority and greater depth. If you want to explore this exciting field where your assumptions will be challenged, then you’ve come to the right place. Our courses will offer a variety of learning opportunities.

Whether you’re a newcomer to the world of statistics, or you simply want to brush up on your knowledge and find out more about the various statistics software that is being used today, we have a course or an ExpertTrack for you. Each of our courses is entirely online, giving you the freedom to learn whenever you like.

Discover how to make sense of statistics and data

Statistics are essential in industries as varied as the media, finance, and health. But how do you go about making sense of all this varied data? Our courses will help you in unpicking the intricacies of these industries, teaching you how to evaluate claims based on quantitative evidence and how to differentiate between reasonable and unreasonable conclusions.

You’ll find out how data and statistics are created, and how you can use this information to assist with decision-making.

Explore how to use the different types of statistics

The two main types of statistics are descriptive statistics and inferential. In our courses, you’ll be introduced to the uses of each different type of statistic, when to use them, and how they can be used in the day-to-day running of an organisation. You’ll also learn how these two different types work in conjunction with each other as well.

Learn the fundamentals of Python in statistics

Learn how to use Python, a specialised programming language, to ingest data and explore more advanced data analysis techniques like data mining and machine learning with our ExpertTrack in Data Analytics Using Python.

Combining a course in Python for beginners, and how to use Python for data analysis, you’ll come out with the knowledge of all the fundamentals for statistics.

Your options for studying statistics

If you want to learn all about statistics and their relation to big data, analytics, and how you can use tools like Python for processing purposes, we have lots of course options available to you. From machine learning to automation, find out how statistics is front and centre of all these domains.

From a quick fix like with our three-week course looking at how you make sense of data in media, or something a bit more detailed, like our ExpertTrack in Data Analytics and Python, start your journey into the world of statistics today.

FAQs

What is statistics?

Statistics is a discipline that concerns the gathering, organisation, analysis, and eventual presentation of a large portion of data. It’s a crucial process in how we make scientific discoveries as well as predictions.

Where do we see statistics?

We inadvertently use statistics in nearly every aspect of life. From things like weather forecasting and sports through to data science, robotics and day-to-day business, statistics can be found in all walks of life. We use statistics to understand the world around us a little bit better, and to try and predict things that might come to pass, by ingesting large quantities of statistics.

Why is it worth learning statistics?

There are multiple reasons as to why it’s worth learning statistics. You’ll be able to conduct research much more effectively, develop and enhance both your critical thinking and your analytic thinking skills, and effectively become a more informed consumer. It is also integral in decision-making processes, which is a skill that can be applied to any industry.

How is Python used in statistics?

Python was effectively developed as an all-encompassing data-wrangling resource, and is incredibly dynamic when it comes to statistics - particularly descriptive statistics. It helps to visualise the data by creating charts and graphs, along with providing a language for coding and programming. As well as statistics, Python is used in back-end development and software too.

What is statistical analysis?

While being quite similar to statistics, statistical analysis is used in a slightly different way. Statistical analysis involves collecting large quantities of data and then interpreting it to try and uncover patterns and trends. It’s often used by business intelligence organisations that work with large data volumes to try and identify trends.