Data to Insight: An Introduction to Data Analysis
Getting started in data science
Organisations everywhere want to exploit data to predict behaviours and extract valuable real-world insights to inform decisions. You will focus on data exploration and discovery, learning what to look for in data, its limitations and avoiding being misled. Our visualisations will help you gain skills quickly, and introduce you to the big ideas that will help you to start understanding our world through data. We want to give you the confidence to dive into data using computer software and to start thinking like a statistical data scientist. We also give you an opportunity to learn coding in R.
What topics will you cover?
- Data and its organisation
- Basic statistics
- Working with many variables simultaneously
- Sources of error and misconception
- Confidence intervals
- Statistical tests via randomisation
- Seasonal decomposition and forecasting
- Learning to code in R (optional)
When would you like to start?
What will you achieve?
By the end of the course, you'll be able to...
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, have a level of comfort with using computers. Learners with visual impairments may not be able to complete all of the course material.
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, 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.
Free
Upgrade - $94
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