In this comprehensive #statistics course you will learn about fundamental concept of statistics which is beginner friendly. This statistics course will walk you through everything you need to know about #statistics for #MachineLearning.

Topics Covered in this course: **************************** Vocabulary and Frequency Tables (0:00) Data and Types of Sampling (19:00) Histograms and Box Plots (39:00) Measures of Center and Spread (1:06:00) Probability Formulas (1:43:00) Contingency Tables (2:09:00) Tree Diagrams and Bayes Theorem (2:21:00) Discrete Probabilty Distributions (2:35:00) Binomial Distribution (2:48:00) Poisson Distribution (3:08:00) Continuous Probability Distributions and the Uniform Distribution (3:23:00) Normal Distribution (3:46:00) Central Limit Theorem (4:15:00) Confidence Interval for a Proportion (4:30:00) Hypothesis Testing for a Single Proportion (4:53:00) Hypothesis Testing for Two Proportions (5:36:00) Confidence Interval for a Mean (5:52:00) Hypothesis Testing with a Mean (6:7:00) Hypothesis Testing for Matched Pairs (6:25:00) Hypothesis Test for Two Means (6:45:00) Hypothesis Testing for Goodness of Fit (7:00:1) Hypothesis Testing for Independence (7:25:00) Hypothesis Testing a Single Variance (7:50:00) Hypothesis Testing for Two Variances (8:04:00) Hypothesis Test for Several Means (8:21:00) Hypothesis Testing for Correlation and Regression (8:35:00)