The most in demand skills in the world right now are in Data Science & Machine Learning! In this one video I will teach you a key part of Machine Learning and Data Science which is Statistics.

I took everything in a standard 500 page text book on Statistics and put it in this one video. I will cover every formula, but also will solve real world problems with each formula.

TABLE OF CONTENTS

• 00:00 Intro
• 00:25 Basics
• 01:25 Categorical Data
• 01:59 Numerical Data
• 02:10 Continuous Data
• 02:25 Qualitative Data
• 02:56 Quantitative Data
• 03:11 Cross Table
• 03:36 Pie Charts
• 03:52 Bar Charts
• 03:59 Pareto Charts
• 04:16 Frequency Distribution Table
• 04:32 Histograms
• 04:54 Mean
• 05:44 Median
• 06:03 Mode
• 06:26 Variance
• 07:24 Standard Deviation
• 08:02 Coefficient of Variation
• 09:01 Covariance
• 10:23 Correlation Coefficient
• 11:12 Maximize Profit
• 13:45 Probability Distribution
• 14:26 Relative Frequency Histogram
• 14:38 Normal Distribution
• 15:21 Standard Normal Distribution
• 16:32 Central Limit Theorem
• 16:55 Standard Error
• 17:14 Z Score
• 17:50 Z Table
• 18:35 Confidence Interval
• 19:22 Alpha
• 20:05 Margin of Error
• 20:13 Confidence Interval Example
• 20:57 Critical Probability
• 21:49 Student’s T Distribution
• 22:43 Degrees of Freedom
• 22:50 T Distribution Example
• 23:33 T Table
• 24:30 Dependent Samples
• 25:29 Independent Samples
• 26:26 Hypothesis
• 27:02 Null Hypothesis
• 27:20 Alternative Hypothesis
• 27:37 Significance Level
• 29:06 1 Sided Tests
• 29:35 Type 1 Errors
• 29:57 Type 2 Errors
• 30:32 Hypothesis Error Example
• 31:23 Means Testing
• 33:33 P Value
• 34:25 Regression
• 36:24 Regression Example
• 37:53 Correlation Coefficient
• 39:11 Coefficient of Determination
• 41:14 Root Mean Squared Deviation
• 41:46 Residual
• 43:27 Chi Square Tests
• 47:03 Chi Square Table

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