Statistics is the discipline that concerns the collection, organization, analysis, interpretation and presentation of data. In applying #statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. This course is the comprehensive explanation of all statistics which very crucial for data science as well.
⭐️ Table of Contents ⭐️
⌨️ (0:00:00) Introduction to statistics - basics terms
⌨️ (1:17:05) Statistics - Location measures
⌨️ (2:01:12) Statistics - Spread measures
⌨️ (2:56:17) Statistics - Set theory
⌨️ (4:06:11) Statistics - Probability basics
⌨️ (5:46:50) Statistics - counting
⌨️ (7:09:25) Statistics - Independence
⌨️ (7:30:11) Statistics - Random variables
⌨️ (7:53:25) Statistics - PMs and CDFs
⌨️ (8:19:03) Statistics - Expectation
⌨️ (9:11:44) Statistics - Binomial RVs
⌨️ (10:02:28) Statistics - Poisson processes
⌨️ (10:14:25) Statistics - Density function
⌨️ (10:19:57) Statistics - Normal RVs
⭐ Credit ⭐
Author: Curtis Miller
Link: https://www.youtube.com/channel/UCUmC4ZXoRPmtOsZn2wOu9zg/featured
License: Creative Commons Attribution license (reuse allowed)
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