Statistics and Probability Full Course || Statistics For Data Science

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) ⭐️ Join Us ⭐️ Join our FB Group: https://www.facebook.com/groups/cslesson​ Like our FB Page: https://www.facebook.com/cslesson/​ Website: https://cslesson.org​