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Practical Statistics for Data Scientists - Data and Sampling Distributions

Shashank Kalanithi via YouTube

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Overview

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This course presents an overview of data and sampling distributions for data scientists, covering random sampling, selection bias, sample statistics, the central limit theorem, standard error, bootstrapping, and confidence intervals.

Syllabus

Intro
Notes
Random Sampling
Selection Bias
Regression to the Mean
Sampling Distributions
Sample Statistics
Lambda Functions
Illustrator Central Limit Theorem
Standard Error
Bootstrapping
Confidence Interval
Normal and Gaussian Distributions
Binomial Distribution

Taught by

Shashank Kalanithi

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