| 1. Day 3 Correlation.mp4 | 45.9 MB | ||
| 1. Day 6 Random variables and the normal distribution.mp4 | 46.7 MB | ||
| 1. Day one the Middletown Bike Rally.mp4 | 32.5 MB | ||
| 1. Introduction.mp4 | 24.7 MB | ||
| 2. Day 4 Simple regression analysis.mp4 | 32.6 MB | ||
| 2. Day 7 Probablity and Prediction.mp4 | 36.8 MB | ||
| 2. Day two Introducing the rally dataset.mp4 | 27.9 MB | ||
| 2.1 Day 4 video v16.mp4 | 43.4 MB | ||
| 3. Day 5 Multiple regression analysis.mp4 | 39.3 MB | ||
| 3. Day 8 What are the odds.mp4 | 32.8 MB | ||
| 4. Day 9 Beating the odds.mp4 | 40.5 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
Using Data Science to Lay Odds on the Middletown Bike Rally
https://DevCourseWeb.com
Published 12/2023
Created by Daniel Badger Jr.
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 10 Lectures ( 1h 6m ) | Size: 403 MB
Grit, genes or privilege - which matters most?
What you'll learn:
How correlation between variables is measured and interpreted..
How simple and multiple regression equations are estimated and interpreted
How and why multiple trials of a random variable are normally distributed
How probability distributions for random variables are constructed from regression equations
How probability distributions are used to predict outcomes for random variables
Requirements:
First year algebra. No prior knowledge of probability, statistics or data science is required. Familiarity with Micrsoft Excel may be helpful, but is not required.
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| 650.8 MB | freecoursewb | 4 days | 0 | 0 | |
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| 1.7 GB | freecoursewb | 4 days | 0 | 0 | |
| 483.5 MB | freecoursewb | 1 week | 15 | 3 |
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