Online course

Data to Insight: An Introduction to Data Analysis and Visualisation

A hands-on introduction emphasizing key ideas, computer skills and statistical thinking.

Data to Insight: An Introduction to Data Analysis and Visualisation

  • Duration 8 weeks
  • Weekly study 3 hours
  • Learn Free
  • Extra benefits From $84 Find out more

Why join the course?

Data is everywhere and the lessons it contains can be the key to making good decisions. We want to give you skills and the confidence to dive into data using computer software and start making discoveries. You will learn key elements of data science and to start thinking like a statistician.

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What topics will you cover?

  • Data and its organisation
  • Basic statistics
  • Making discoveries working with several variables simultaneously
  • Sources of error and misconception
  • Confidence intervals
  • Statistical tests via randomisation
  • Seasonal decomposition and forecasting

When would you like to start?

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more

  • Available now
    This course started 8 April 2019

What will you achieve?

By the end of the course, you'll be able to...

  • Explore fundamental statistical data science concepts
  • Create visual and numerical representations of data
  • Interpret data analysis outputs
  • Discuss interpretations and limitations of data

Who is the course for?

This course is suited to those new to these areas and those wanting a reminder and fresh perspectives. You will need to be comfortable thinking in terms of percentages and have a level of comfort with using computers.

What software or tools do you need?

We use free software. Parallel threads enable you to choose between using online software that requires only an internet connection and browser, installed “point-and-click” software, or learning to code in R.

What do people say about this course?

Thank you for this course, I have learned a lot. I found the blend of developing in depth understanding of theory and usable practical visualisation tools and methods really good. I'll certainly be using some of the techniques in my work, and the understanding that has been developed will be invaluable. Thanks again!

Oliver Quinlan

Thanks very much to the team for this course. It's taken me a while to get round to completing, but I've already been using the skills (and Insight!) in my job and this has inspired me to think about going on to study statistics further.

Rosie Storarr

Who will you learn with?

Chris Wild

Lead educator for “Data to Insight”, Chris Wild’s interests are data from complex sampling, statistical thinking and reasoning processes, and visualisation
See: https://www.stat.auckland.ac.nz/~wild

Tracey Meek

I helped design the Data to Insight Course and am passionate about accessibility to quality education for all.

Mike Forster

I am a Professional Teaching Fellow in the Department of Statistics at The University of Auckland. My main areas of interest are Data Analysis and Applied Time Series Analysis.

Who developed the course?

The University of Auckland is New Zealand’s leading university and the only one included in the Times Higher Education top 200.

Join this course

Start this course for free, upgrade for extra benefits, or buy Unlimited to access this course and hundreds of other short courses for a year.

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  • Access to this course for 10 weeks

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  • Access to this course for as long as it’s on FutureLearn
  • Access to this course’s tests as well as a print and digital Certificate of Achievement once you’re eligible
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  • Access to this course, and hundreds of other FutureLearn short courses and tests for a year
  • A printable digital Certificate of Achievement on all short courses once you’re eligible
  • The freedom to keep access to any course you've achieved a digital Certificate of Achievement on, for as long as the course exists on FutureLearn
  • The flexibility to complete your choice of short courses in your own time within the year
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