Statistics for Data Science #2 E-learning Kurs

Course Overview
An Introduction to Matplotlib
Analyzing Data Using NumPy and Pandas
Visualizing Univariate and Bivariate Distributions
Summary Statistics Using Native Python Functions
Summary Statistics Using NumPy
Summary Statistics Using the SciPy Library
Correlation and Covariance
Z-score
Exercise: Compute and Visualize Statistics

Course Overview
The One-Sample T-test
Independent and Paired T-tests
Testing Hypotheses with T-tests
Loading and Analyzing a Skewed Dataset
Measuring Skewness and Kurtosis
Preparing a Dataset for Regression
Simple Linear Regression
Multiple Linear Regression
Exercise: Applied Inferential Statistics