[Currently running and open for joining at https://www.futurelearn.com/courses/data-to-insight
Next start date for Data to Insight: 21 October 2019]

Exercises from "Data to Insight"
Introductory instruction in the use of:

iNZight, iNZight Lite, R
VIT and VITonline

iNZight	iNZight Lite	R
Install iNZight Load data into iNZight Categorical variables Numeric variables Comparing groups Time travel (Playing over a 3rd variable) Relationships between categorical variables Relationships between numeric variables Techniques for scatterplots Advanced scatterplots for deeper analysis 3-D plots Inference with iNZight Time Series for a single variable Time Series analysis for more than one series	(No installation required) Load data into iNZight Lite Categorical variables Numeric variables Comparing groups Time travel (Playing over a 3rd variable) Relationships between categorical variables Relationships between numeric variables Techniques for scatterplots Advanced scatterplots for deeper analysis Inference with iNZight Lite Time Series for a single variable Time Series analysis for more than one series	Install and start using R Import data into R Categorical variables Numeric variables Comparing groups Time travel (Playing over a 3rd variable) Relationships between categorical variables Relationships between numeric variables Techniques for scatterplots Advanced scatterplots for deeper analysis Inference with iNZightPlots Time Series for a single variable Time Series analysis for more than one series
VIT (Visual Inference Tools)	VITonline
Sampling variation - numeric data Sampling variation - proportions Bootstrap re-sampling Using VIT to run a randomisation test Using VIT to run a randomisation test for proportions	Sampling variation - numeric data Sampling variation - proportions Bootstrap re-sampling Randomisation Test

-- Chris Wild, Department of Statistics, The University of Auckland