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Data Science and AI
Statistics for Data Science
From summarising data to regression
A classroom course in the statistics every data role relies on. The nine modules are the nine chapters of the open textbook OpenIntro Statistics: introduction to data, summarising data, probability, distributions, foundations for inference, inference for categorical data, inference for numerical data, linear regression, and multiple and logistic regression. This course prepares for no exam.
9Modules
BeginnerLevel
2 monthsDuration
COURSE THUMBNAIL
What you will be able to do
Summarise a dataset with the right numbers and charts
Reason correctly about probability and distributions
Build a confidence interval and run a hypothesis test
Compare groups for categorical and numerical data
Fit and interpret linear and logistic regression
Course outline
01
Introduction to data
02
Summarising data
03
Probability
04
Distributions
05
Foundations for inference
06
Inference for categorical data
07
Inference for numerical data
08
Introduction to linear regression
09
Multiple and logistic regression
Tools you will use
Microsoft ExcelROpenIntro Statistics
What you need
School-level mathematics
Comfortable working with spreadsheets
