This section includes all the information you will need to get started in this course.

Let's take a look ahead to what we'll be covering this week.

Let's explore some common issues that arise with data collection and how they can result in misleading statistics.

Learn some common techniques people use to mislead others with percentages.

Learn how to use Fermi estimation to make quick approximations or rough estimates based on limited information.

Learn how to separate statistics from misleading media narratives.

Let's reflect on what we've covered this week and take a look at what's coming up next.

Let's take a look ahead to what we'll be covering this week.

Learn about the popular thought experiment, Hemple's Paradox and how it highlights the need for defined evidence and robust research questions.

Learn more about the inherent limitations of sampling and how variability can impact findings.

Learn how variability impacts research studies and why researchers need to plan for it in their study designs.

Practise making scientific observations to experience first-hand how sample size and variability can impact research.

This test will help you verify your understanding of the topics covered in Week 1 and Week 2. To earn a Certificate of Achievement on this course, you need to score an average of 70% or above on all test steps in the course.

Let's reflect on what we've covered this week and take a look at what's coming up next.

Let's take a look ahead to what we'll be covering this week.

Learn how researchers make sure their findings are relevant and applicable to populations beyond their selected sample.

Learn some key terminology for investigating and discussing research studies.

Let's reflect on what we've covered this week and take a look at what's coming up next.

Let's take a look ahead to what we'll be covering this week.

Learn about the different kinds of bias that can impact survey research and how researchers can mitigate bias in their survey design.

Learn how the phrasing and framing of questions can influence respondents and impact research findings.

Discover how bias and precision impact the quality and reliability of research results.

This test will help you verify your understanding of the topics covered in Week 3 and Week 4. To earn a Certificate of Achievement on this course, you need to score an average of 70% or above on all test steps in the course.

Let's reflect on what we've covered this week and take a look at what's coming up next.

Let's take a look ahead to what we'll be covering this week.

Learn the characteristics of different types of research data and how to choose an appropriate way to analyse them.

Learn the core rules and principles for building sound surveys and analysing the data collected from them.

Learn what right censoring is and how it can impact survey results.

Let's reflect on what we've covered this week and take a look at what's coming up next.

Let's take a look ahead to what we'll be covering this week.

Discover the far-reaching implications of missing data on research studies.

Explore this real-world experiment example to learn the impacts of poor experiment design.

Let's review an experiment design to uncover methodological flaws and re-design the experiment to make it more robust.

Learn how over-extrapolation can create misinformation and inaccurate conclusions.

Learn what filter bubbles are and their implications for research that use online platforms or social media.

Learn why it's important to critically evaluate the data at hand before drawing conclusions from it.

This test will help you verify your understanding of the topics covered in the course. To earn a Certificate of Achievement on this course, you need to score an average of 70% or above on all test steps in the course.

Let's reflect on what we've covered this week and take a look at what's coming up next.

Congratulations on reaching the end of the course. Let's reflect on what we've covered over the past weeks and look at ways for you to carry on learning!