Centre for Continuing Education

Statistics Course for Non-Statisticians

Finance. Boost your financial know-how.

Coronavirus (COVID-19) update: arrangement of our courses

Our courses will be moving to online delivery from Monday 23 March.
We aim to continue to deliver a high-quality educational experience through interactive, online classes in real-time.
If you are currently enrolled in a course with us, we will be in touch soon with options for your enrolment.
Please familiarise yourself with our terms and conditions which have been updated with amendments in response to COVID-19.

An ability to interpret statistics and data is important for many professions for making decisions based on valid interpretations of statistics and data. This course caters for demand across all sectors and disciplines such as finance, health and the social sciences, and is intended for professionals required to collate, interpret and analyse data.

This statistics course enables you to acquire skills in understanding statistical terminology and interpreting data. It also provides an introduction to testing for statistical significance, when dealing with sample data. We will examine different types of data and develop evidence-based judgements. In so doing, we will apply tests of statistical significance, interpret p-values, determine confidence intervals and consider Bayesian methodology.


The course objectives include:

  • increasing your use of statistical terminology
  • building your familiarity with sample design considerations when choosing a statistical testing procedure
  • determining sample sizes for achieving required levels of statistical confidence
  • generating hypotheses for testing
  • selecting between parametric versus non-parametric statistical testing
  • how to conduct statistical testing and interpret findings
  • how to interpret correlation and regression.


By the end of this course, you should be able to:

  • use statistical terminology for designing research, interpreting data and reporting conclusions
  • select a sample design for answering a research question
  • represent data for making meaningful interpretations
  • select between a parametric and non-parametric test based on underlying assumptions
  • test a hypothesis using statistics, drawing conclusions and evidence-based decisions
  • interpret statistical findings using confidence intervals and by applying Bayesian thinking.


Introduction to statistical terminology

Understanding terms such as statistics, probability, sample frames, sample designs, statistical confidence, p-values, type 1 and type 2 errors, parametric versus non-parametric testing, data distributions, measures of central tendency, standard deviation.

Sampling considerations as a pre-requisite to statistical testing

Use of probability samples versus convenience/ non-probability sampling. Implications of sample design in choice of statistical testing.

Ways of processing data

Use of Box and Whisker plots, application of central limit theorem, processing data from different underlying data distributions.

Use of parametric testing

Z-tests and t-tests using the standard normal distribution. Interpreting statistical tables. Understanding the implications of type 1 and type 2 errors.

Hypothesis testing with test statistics

Formulating the hypothesis, selecting an appropriate test, choosing level of significance, determining critical value or p-value, accepting/ rejecting the null hypothesis.

Analysis of variance, correlation and regression

Testing multiple samples, an introduction to multivariate analysis.

Use of non-parametric testing and Bayesian statistics

When and how to use a chi-square test, questions for answering with Bayesian statistics.

Intended audience

Suitable for people from all sectors – commercial, government, and education and not-for-profit. You are likely to be reviewing data sets or interpreting research reports and are seeking to do so with increased proficiency. This course is suitable for those without formal training in statistics; or looking for an introduction to statistics before seeking out more formal learning; or are looking for a refresher program.

Delivery style

Coursework consists of mini-lectures, followed by practical exercises. These exercises are completed individually, in pairs, small groups and amongst the entire class, so as to build both your theoretical knowledge and practical skills.

Additional information

Please bring a USB flash drive to class if you would like to make a copy of your work or any relevant class materials. Alternatively, you can save these to a cloud storage space or email them to your personal email address.


  • Expert trainers
  • Central locations
  • Free, expert advice
  • Course materials – yours to keep
  • CCE Statement of Completion

What others say.

  • The course level and content was right where I needed it to be. I came to find out what I don’t know, and what I need to further reading/study. I filled in some of my knowledge gaps and I am much clearer about what else I now need.

Statistics Course for Non-Statisticians

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Statistics Course for Non-Statisticians

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What others say.

  • An incredibly intensive subject was presented in manageable, bite size chunks! Appreciate the tutor catered to all levels of knowledge and experience in the room... and with a sense of humour!
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