Statistics for Data Science: Probability and Statistics Tutorial
7 hours
A seven-hour tutorial on probability and statistics for data science, from a Stanford PhD.
Eleven hours of statistics and probability for data science, from first principles.
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7 hours
A seven-hour tutorial on probability and statistics for data science, from a Stanford PhD.
5 hours
Six hours of statistics for data science in one sitting, from descriptive measures through distributions to hypothesis testing.
24 hours
Forty-four lessons covering the statistics behind machine learning, from sampling to hypothesis testing and interview questions.
1 hour
An hour on descriptive statistics: the measures that summarise a dataset before any model touches it.
17 minutes
Sample spaces, events and the basic rules of probability, in seventeen minutes.
8 minutes
What independence means in probability, and what changes when events depend on each other.
7 hours
A seven-hour tutorial on probability and statistics for data science, from a Stanford PhD.
17 minutes
Sample spaces, events and the basic rules of probability, in seventeen minutes.
8 minutes
What independence means in probability, and what changes when events depend on each other.