Statistics & Probability Courses and Certifications

Which Distribution Is It?

Use diagnostic questions and visual and process evidence to identify, distinguish, and justify the most likely probability distribution for an unfamiliar variable.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

Types of Distributions

Learn to identify and describe uniform, normal, binomial, and skewed distributions using shape and contextual clues.

• CodeSignal
• 6 hours
• Self-Paced
• Free Certificate

Career Certificate

Inferential Statistics for Data Analysis Course

Work through the inferential toolkit—sample size, confidence intervals, z, t and chi-square tests, correlation and regression—to generalize from samples to populations.

• Graduate School USA
• Self-Paced
• $1,049.00

Career Certificate

Data Analytics Foundations

Builds data analytics foundations through descriptive statistics, forecasting, regression, visualization, and Solver-based prescriptive analysis for strategic decisions.

• VDCI
• 12 hours
• Self-Paced
• $595.00

Career Certificate

Data Analytics Foundations

Learn descriptive statistics, probability, regression and forecasting, then apply pivot tables, sparklines, Scenario Manager and Solver to predictive and prescriptive analytics problems.

• VDCI
• 12 hours
• Self-Paced
• $595.00

Hypothesis Testing with Python

1 rating

Run t-tests, Mann-Whitney U tests, one-way ANOVA, and chi-square tests in Python, interpreting t-statistics and p-values to draw data-driven conclusions.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Hypothesis Testing in Public Health

661 ratings at Coursera

Evaluate sample variability and test hypotheses with published health data: sampling distributions, the central limit theorem, confidence intervals, p values, and comparisons of means, proportions, and rates.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Career Certificate

International Business Essentials

2051 ratings at Coursera

Build professional, management, quantitative and statistical skills for international business, then apply them to the international business environment in a capstone project.

• Coursera
• 12 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses

Statistics for Genomic Data Science

383 ratings at Coursera

An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Inferential and Predictive Statistics for Business

880 ratings at Coursera

Test business claims with hypothesis testing, compare two populations, and build simple and multiple linear regression models in Excel to predict outcomes and interpret results.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Linear Regression for Business Statistics

1370 ratings at Coursera

Build and interpret linear regression models in Excel, applying dummy variables, multicollinearity checks, mean centering, interaction effects, and log-log and semi-log transformations.

• Coursera
• 4 weeks, 7 hours a week
• Self-Paced
• Paid Course

Business Applications of Hypothesis Testing and Confidence Interval Estimation

1338 ratings at Coursera

Construct confidence intervals and run hypothesis tests in Excel: t- and z-statistics, population proportions, sample size calculation, Type I/II errors, and difference-in-means tests.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Designing, Running, and Analyzing Experiments

596 ratings at Coursera

Design, run, and analyze user-centered experiments in R: tests of proportions, t-tests, ANOVA, nonparametric alternatives, factorial designs, generalized linear and mixed effects models.

• Coursera
• 9 weeks, 2 hours a week
• Self-Paced
• Paid Course

Career Certificate

Bayesian Statistics

3523 ratings at Coursera

Learn Bayesian methods in R — conjugate models, MCMC, mixture models, and dynamic linear models — to analyze data, forecast time series, and build statistical models.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

Mathematics for Machine Learning and Data Science

3256 ratings at Coursera

Learn the linear algebra, calculus, and probability and statistics behind machine learning, applying each concept through Python lab exercises and easy-to-follow visualizations.

• Coursera
• 12 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses