# TSM_BusAn

Tibble Data Format in R: Best and Modern Way to Work with Your Data

The Workspace

R for Data Science

## Wikipedia

Statistik
Stochastik
Mathematische/induktive Statistik (beurteilende Statistik)
Deskriptive Statistik (beschreibende Statistik)
Grundgesamtheit (Population! Gesamterhebungsumfang)
Schätztheorie
Schätzfunktion
Schätzmethode (Schätzverfahren)

## R

### Verteilungen

#### Diskrete

Poisson-Verteilung
Bernoulli-Verteilung (Null-Eins-Verteilung)
Binomialverteilung

#### StatQuest with Josh Starmer

StatQuest: Logistic Regression in R

#### DataCamp

R tutorial – Learn R Programming

## Week 2

• Samplr Size totally obscured
• Variability not visible
• Statistical evidence
• Statistical significance
• Statistical relevance
• Statistical inference
• Confidence Intervals
• Statistical hypothesis testing, Null-Hypothesis
• p-Values

Wilcoxon-Mann-Whitney-Test (Rank Sum Test)
Kruskal-Wallis-Test, H-Test, (Rank Sum Test)
Hypothese (Statistik)
Null hypothesis
Informal inferential reasoning
MathsNZ Students – 3.10 – Formal Inference

How To… Perform the Mann-Whitney U Test (By Hand)

### Boxplot

Khan Academy – Boxplot – Wiederholung
Wikipedia – Box-Plot
Box plot
Konfidenzintervall, Vertrauensintervall, Vertrauensbereich und Erwartungsbereich
Confidence interval
Boxplot erstellen, Median, unteres/oberes Quartil, Minimum, Maximum | Mathe by Daniel Jung

## Week 3

• categorical perdictor
• distribution
• deviation
• Gauss / not Gauss
• Residual plots

## MESOSworld – Methodological Education for the Social Sciences (Universität Zürich)

Lerninhalte

#### Bivariate Verteilungen

Regressionsanalyse

## Steve Brunton – Intro to Data Science

Intro to Data Science

• Intro to Data Science: Overview
• Intro to Data Science: Historical Context
• Intro to Data Science: What is Data Science?
• Intro to Data Science: Answering Questions with Data
• Intro to Data Science: The Nature of Data
• Machine Learning Overview
• Machine Learning Goals
• Machine Learning and Cross-Validation
• Types of Machine Learning 1
• Types of Machine Learning 2
• Artificial Intelligence
• Neural Network Overview
• Neural Network Architectures
• Neural Networks and Deep Learning
• Neural Networks: Caveats
• Digital Twins
• Data Visualization: Overview
• Data Visualization: Types of Data
• Data Visualization: Storytelling with Data