# Advanced Statistics for Data Science Specialization

Familiarize yourself with fundamental concepts in probability and statistics, data analysis and linear models for Data Science.

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### What you will learn

Learn about probability, expectations, conditional probabilities, distributions, confidence intervals, bootstrapping, binomial proportions, and more.

Understand the matrix algebra of linear regression models.

Learn about canonical examples of linear models to relate them to techniques that you may already be using.

## Skills you will gain

## About this Specialization

## Applied Learning Project

The Advanced Statistics for Data Science Specialization incorporates a series of rigorous graded quizzes to test the understanding of key concepts such as probability, distribution, and likelihood concepts to hypothesis testing and case-control sampling.

This specialization requires a fair amount of mathematical sophistication. Basic calculus and linear algebra are required to engage in the content.

This specialization requires a fair amount of mathematical sophistication. Basic calculus and linear algebra are required to engage in the content.

## There are 4 Courses in this Specialization

### Mathematical Biostatistics Boot Camp 1

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

### Mathematical Biostatistics Boot Camp 2

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

### Advanced Linear Models for Data Science 1: Least Squares

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:

### Advanced Linear Models for Data Science 2: Statistical Linear Models

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:

## Offered by

#### Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

## Frequently Asked Questions

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