Statistics with Python, Part 3

Statistics with Python, Part 3

English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 1h 15m | 276 MB

Understanding distributions and hypothesis testing is key to getting a grasp on statistics, particularly with regard to the application of statistics to data science. Learn the basics of distributions and hypothesis testing and how to visualize the results using popular packages such as NumPy, SciPy, and Matplotlib.

Table of Contents

00:00:00 Introduction
00:01:06 Overview of Distributions and Hypothesis Testing
00:06:55 Working with Distributions
00:11:27 Using the Normal Distribution (Demo)
00:26:57 Hypothesis Testing
00:48:48 Performing Hypothesis Tests (Demo)
01:08:33 Visualizing Data and Statistics
01:10:54 Generating a Histogram (Demo)
01:15:33 Conclusion