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YouTube

Statistics Tutorials

365 Data Science via YouTube

Overview

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This course covers a range of statistical topics including variance, standard deviation, hypothesis testing, clustering, probability, correlation, regression, and linear regression models. Students will learn to differentiate between population and sample data, understand levels of measurement, and identify types of data. The course uses tutorials, explanations, and examples to teach these statistical concepts. It is designed for individuals interested in data science, statistics, or related fields who want to enhance their analytical skills and knowledge.

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.

Taught by

365 Data Science

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