Kurs
Fallstudien zum statistischen Denken
FortgeschrittenSchwierigkeitsgrad
Aktualisiert 09/2024PythonProbability & Statistics4 Std.16 Videos61 Übungen4,850 XP16,041Leistungsnachweis
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Voraussetzungen
Statistical Thinking in Python (Part 1)Statistical Thinking in Python (Part 2)1
Fish sleep and bacteria growth: A review of Statistical Thinking I and II
To begin, you'll use two data sets from Caltech researchers to rehash the key points of Statistical Thinking I and II to prepare you for the following case studies!
2
Analysis of results of the 2015 FINA World Swimming Championships
In this chapter, you will practice your EDA, parameter estimation, and hypothesis testing skills on the results of the 2015 FINA World Swimming Championships.
3
The "Current Controversy" of the 2013 World Championships
Some swimmers said that they felt it was easier to swim in one direction versus another in the 2013 World Championships. Some analysts have posited that there was a swirling current in the pool. In this chapter, you'll investigate this claim!
References - Quartz Media, Washington Post, SwimSwam (and also here), and Cornett, et al.
4
Statistical seismology and the Parkfield region
Herein, you'll use your statistical thinking skills to study the frequency and magnitudes of earthquakes. Along the way, you'll learn some basic statistical seismology, including the Gutenberg-Richter law. This exercise exposes two key ideas about data science: 1) As a data scientist, you wander into all sorts of domain specific analyses, which is very exciting. You constantly get to learn. 2) You are sometimes faced with limited data, which is also the case for many of these earthquake studies. You can still make good progress!
5
Earthquakes and oil mining in Oklahoma
Of course, earthquakes have a big impact on society, and recently are connected to human activity. In this final chapter, you'll investigate the effect that increased injection of saline wastewater due to oil mining in Oklahoma has had on the seismicity of the region.
Fallstudien zum statistischen Denken
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