An Introduction to Statistics

Description

Do you find statistics confusing? Learning statistics doesn’t need to be difficult. In this course, you’ll be introduced to a completely new way of approaching the subject. Instead of trying to learn formulas and trying to understand the complicated mathematics that underpin statistics tests, in this course, you’ll learn to approach statistical problems by understanding the “question” that you’re trying to answer.

Dr Martin’s approach to teaching statistics is refreshingly simple. By understanding the nature and structure of your data, it will become blindingly obvious what statistical questions you can ask. By doing this course you’ll become very comfortable with data types and when to use the various statistical tests like the student’s T-test, Chi Squared, ANOVA and correlation tests. The course also provides some strategies and practical advice as to how to manage things like missing data.

You’ll also learn about research and study design. For example, you’ll learn about the difference between a Case Control and a Cohort study and how Randomised Control Trials are used to control for confounding. And as an added bonus you’ll get a brief introduction to R programming - a fantastic (and free) platform used for statistical analysis.

This course is for beginners or for anyone who has found statistics confusing and inaccessible. The underlying idea is to focus on the basics. Make you that you understand the question that you’re trying to answer and which statistical tests are most appropriate for the job. Once you have that done and dusted, you’ll find the rest of statistics pretty easy and intuitive. So sign up and enjoy.

What You Will Learn!

• Understand your data structure
• Describe and visualise your data
• Apply statistical tests to sample data
• Present your findings

Who Should Attend!

• Anyone who is studying statistics at school or university and feeling confused - this course is for you.

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