Statistics Tutorials

This playlist introduces core statistics for data science, including descriptive measures, probability and distributions, hypothesis testing, chart selection, clustering, correlation, and linear regression.

Syllabus

Variance, Standard Deviation, Coefficient of Variation.
Population vs Sample.
Data Science & Statistics: Levels of measurement.
Statistics Tutorials: Mean, median and mode.
Skewness.
Hypothesis testing. Null vs alternative.
Which is the best chart: Selecting among 14 types of charts Part I.
Which is the best chart: Selecting among 14 types of charts Part II.
Flat and Hierarchical Clustering | The Dendrogram Explained.
K Means Clustering: Pros and Cons of K Means Clustering.
Types of Data: Categorical vs Numerical Data.
Introduction to Probability | 365 Data Science Online Course.
The Differences Between Correlation and Regression | Statistics Tutorials.
Decomposition of Variability: Sum of Squares | Statistics Tutorial.
The linear regression model.
The Normal Distribution.
What is a distribution?.
Simple linear regression model. Geometrical representation.