Online course in Business & Management

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

Overview
Topics
Start dates
Requirements
Educators
More courses
Overview
Topics
Start dates
Requirements
Educators
More courses
  • Duration 8 weeks
  • Weekly study 3 hours

Other courses you might like

This course isn't running right now. We can email you when it starts again, or check out these other courses you might like.

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.

Download video: standard or HD

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?

  • Date to be announced
Add to Wishlist to be emailed when new dates are announced

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

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

Tracey Meek

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

Mike Forster

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.