Statistics and Probability Full Course || Statistics For Data Science

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:- A strong aptitude for maths. The ability to interpret data and statistics.

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) Lesson 1: Getting started with statistics(16:57) Lesson 2: Data Classification(40:32) Lesson 3: The process of statistical study(1:05:30) Lesson 4: Frequency distribution(1:28:48) Lesson 5: Graphical displays of data(2:05:34) Lesson 6: Analyzing graph(2:17:25) Lesson 7: Measures of Center(2:48:20) Lesson 8: Measures of Dispersion(3:19:27) Lesson 9: Measures of relative position(3:44::09) Lesson 10: Introduction to probability(4:02:15) Lesson 11: Addition rules for probability(4:16:7) Lesson 12: Multiplication rules for probability(4:33:18) Lesson 13: Combinations and permutations(4:46:11) Lesson 14: Combining probability and counting techniques(4:57:09) Lesson 15: Discreate distribution(5:21:08) Lesson 16: The binomial distribution(5:43:10) Lesson 17: The poisson distribution(6:01:15) Lesson 18: The hypergeometric(6:21:10) Lesson 19: The uniform distribution(6:46:59) Lesson 20: The exponential distribution(7:02:01) Lesson 21: The normal distribution(7:21:06) Lesson 22: Approximating the binomial(7:42:36) Lesson 23: The central limit theorem(7:56:54) Lesson 24: The distribution of sample mean(8:22:03) Lesson 25: The distribution of sample proportion(8:41:50) Lesson 26: Confidence interval(9:09:32) Lesson 27: The theory of hypothesis testing(9:53:50) Lesson 28: Handling proportions(10:21:38) Lesson 29: Discrete distributing matching(10:50:05) Lesson 30: Categorical independence(11:11:53) Lesson 31: Analysis of variance Credit A series of lectures for the STAT200: Introductory Statistics class at Knox College, Illinois. These are all made by Professor Forsberg License: Creative Commons Attribution license (reuse allowed)Join UsJoin our FB Group: https://www.facebook.com/groups/cslesson Like our FB Page: https://www.facebook.com/cslesson/ Website: https://cslesson.org

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