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Data to Insight

An Introduction to Data Analysis and Visualisation

Kate Sandars, Chris Wild, and Mike Forster

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 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.

Topics Covered

Read more

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 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.

Topics Covered

  • 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
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Reviews summary

Solid introduction to data analysis concepts

This course covers the basics of data analysis and visualization. It is suitable for beginners and those who want a refresher. The course is well-structured and paced, and the content is delivered in a clear and concise manner. However, it does not teach any proficiency in the actual programming of R.

Activities

Coming soon We're preparing activities for Data to Insight: An Introduction to Data Analysis and Visualisation. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Data to Insight: An Introduction to Data Analysis and Visualisation will develop knowledge and skills that may be useful to these careers:

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Time
24 hours
Via
FutureLearn
Institution
The University of Auckland
Instructors
Kate Sandars
Chris Wild
Mike Forster
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