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. The following topic of statistics has been discussed extensively in this course:
== Topics Covered in this course:
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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)
