Python Statistics for Data Science Course- Part 1


Concept of Data and Its Types



Data is broadly classified into two types,
  1. Qualitative data  (Dimensions)
  2. Quantitative data (Measures)






Ordinal data, has an order/Hierarchy like grades Excellent > Good > Poor




Discrete : a finite no.of values (whole numbers in general)





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Python Statistics for Data Science Course- Part 2

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Variable and its types What are the different types of variables? Confounding variables are those that are not available in the dataset but could have a hidden effect on the results. In general people who sleep more have better memory and for example we have a data sample with two columns Sleep hours and memory and we are asked to predict, there could be a medical history data that is not available in the data set but could have an impact on the out come. A patient, who has a medical issue related to his memory will have bad memory though he sleeps longer. Here medical condition is a confounding variable that is not available in the data set but could have impact on the out come. What is a Placebo in a experiment? A placebo is a non active item(pill) looks same as a active item. Ex: In a memory test, to differentiate people with more sleep and less sleep, a pill is given to every participant and some pills are placebos which look like a sleeping pill but does not ...
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