Probability and Statistics

Probability and statistics courses teach skills in understanding whether data is meaningful, including optimization, inference, testing, and other methods for analyzing patterns in data and using them to predict, understand, and improve results.

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R Programming

R Programming

Johns Hopkins University
COURSE
Rated 4.5 out of five stars. 19282 reviews
Understanding Clinical Research: Behind the Statistics

Understanding Clinical Research: Behind the Statistics

University of Cape Town
COURSE
Rated 4.8 out of five stars. 2077 reviews
Understanding and Visualizing Data with Python

Understanding and Visualizing Data with Python

University of Michigan
COURSE
Rated 4.7 out of five stars. 1477 reviews
Introduction to Probability and Data with R

Introduction to Probability and Data with R

Duke University
COURSE
Rated 4.7 out of five stars. 4369 reviews
Bayesian Statistics: From Concept to Data Analysis

Bayesian Statistics: From Concept to Data Analysis

University of California, Santa Cruz
COURSE
Rated 4.6 out of five stars. 2445 reviews
Bayesian Statistics: Techniques and Models

Bayesian Statistics: Techniques and Models

University of California, Santa Cruz
COURSE
Rated 4.8 out of five stars. 348 reviews
A Crash Course in Causality:  Inferring Causal Effects from Observational Data

A Crash Course in Causality: Inferring Causal Effects from Observational Data

University of Pennsylvania
COURSE
Rated 4.7 out of five stars. 271 reviews
Econometrics: Methods and Applications

Econometrics: Methods and Applications

Erasmus University Rotterdam
COURSE
Rated 4.6 out of five stars. 978 reviews
Basic Statistics

Basic Statistics

University of Amsterdam
COURSE
Rated 4.6 out of five stars. 3316 reviews
Summary Statistics in Public Health

Summary Statistics in Public Health

Johns Hopkins University
COURSE
Rated 4.8 out of five stars. 888 reviews
Probability and Statistics: To p or not to p?

Probability and Statistics: To p or not to p?

University of London
COURSE
Rated 4.6 out of five stars. 977 reviews
Practical Time Series Analysis

Practical Time Series Analysis

The State University of New York
COURSE
Rated 4.6 out of five stars. 1112 reviews
Introduction to Statistics & Data Analysis in Public Health

Introduction to Statistics & Data Analysis in Public Health

Imperial College London
COURSE
Rated 4.7 out of five stars. 704 reviews
Improving your statistical inferences

Improving your statistical inferences

Eindhoven University of Technology
COURSE
Rated 4.9 out of five stars. 606 reviews
Getting and Cleaning Data

Getting and Cleaning Data

Johns Hopkins University
COURSE
Rated 4.6 out of five stars. 7434 reviews
Inferential Statistics

Inferential Statistics

Duke University
COURSE
Rated 4.8 out of five stars. 1890 reviews

    Frequently Asked Questions about Probability and Statistics

  • Probability is the study of the likelihood an event will happen, and statistics is the analysis of large datasets, usually with the goal of either usefully describing this data or inferring conclusions about a larger dataset based on a representative sample. These two branches of mathematics can be considered two sides of a coin: statistics help you to understand the past, and probability helps you use that knowledge to predict the future!

    Statistics and probability are essential tools for data science. These skills enable you to determine whether your data collection methods are sound, derive relevant insights from massive datasets, build analytic models that produce usable results, and much more. Important concepts and skills in the data science context include sampling distributions, statistical significance, hypothesis testing, and regression analysis.