Udemy - Performance Optimization and Risk Management for Trading 2023-2_10

Part 9 (1:36:31) ============ 19 - Appendix 1 Introduction to Statistics 0:00:00 005 Relative and Cumulative Frequencies with () 0:05:17 006 Measures of Central Tendency (Theory) 0:09:59 007 Coding Measures of Central Tendency - Mean and Median 0:13:41 008 Coding Measures of Central Tendency - Geometric Mean 0:17:31 009 Excursus Why Log Returns are useful 0:20:06 010 Variability around the Central Tendency Dispersion (Theory) 0:26:11 011 Minimum, Maximum and Range with PythonNumpy 0:28:17 012 Variance and Standard Deviation with PythonNumpy 0:31:32 013 Percentiles with PythonNumpy 0:35:07 014 Skew and Kurtosis (Theory) 0:38:56 015 How to calculate Skew and Kurtosis with 0:44:30 017 How to generate Random Numbers with Numpy 0:49:03 018 Reproducibility with () 0:52:42 019 Probability Distributions - Overview 0:59:16 020 Discrete Uniform Distributions 1:05:14 021 Continuous Uniform Distributions 1:09:25 022 The Normal Distribution (Theory) 1:14:47 023 Creating a normally distributed Random Variable 1:20:09 024 Normal Distribution - Probability Density Function (pdf) with 1:24:04 025 Normal Distribution - Cumulative Distribution Function (cdf) with 1:26:58 026 The Standard Normal Distribution and Z-Values 1:33:38 027 Properties of the Standard Normal Distribution (Theory)