Free online coursesStatistics

Discover our completely free online courses on Statistics, featuring 11 comprehensive classes that cater to all levels, from beginners to applied statistics. Whether you're interested in Statistics for Data Science, Bayesian Statistics, or Applications, our courses offer valuable insights and knowledge. Plus, upon completion, earn a no-cost certification to boost your academic or professional journey.

11 free online courses

Free online courses on Statistics
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Understanding Bayesian Statistics: Foundations and Applications

Bayesian statistics updates beliefs with new data, blending prior knowledge and evidence for flexible, informed decision-making across fields.

Bayesian Statistics Demystified: An Intuitive Starter Guide

Bayesian statistics updates beliefs with new evidence, blending prior knowledge and data for flexible, intuitive decision-making.

Bayesian Probability: Updating Beliefs with Evidence

Bayesian probability updates beliefs with evidence, combining prior knowledge and new data for flexible, intuitive statistical reasoning.

Bayesian Inference: A Practical Guide for Beginners

Bayesian inference updates beliefs with new data, handling uncertainty effectively—ideal for beginners seeking robust statistical analysis.

Understanding Statistical Models in Applied Statistics

Descubra como modelos estatísticos ajudam a interpretar dados e tomar decisões práticas em áreas como saúde, engenharia, negócios e ciências sociais.

Real-World Applications of Applied Statistics: Solving Everyday Problems

Explore como a estatística aplicada resolve problemas reais em saúde, negócios, educação e meio ambiente com técnicas como regressão e análise de séries temporais.

Key Techniques in Applied Statistics: Data Analysis in Action

Explore how applied statistics helps solve real-world problems through data analysis, regression, ANOVA, and software tools like R and Python.

An Introduction to Applied Statistics: Principles and Practice

Learn how applied statistics turns raw data into real-world decisions using descriptive, inferential, and predictive techniques across industries.

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