Causality Courses and Certifications

AI Institute at UofSC - #AIISC

Causal Neurosymbolic AI - A Synergy Between Causality and Neurosymbolic AI

Explore the fusion of causality and neurosymbolic AI for automated reasoning in complex domains, transforming causal knowledge into explainable representations.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Chemometrics & Machine Learning in Copenhagen

Causality in Latent Space - PLS in Digitalized Industry 4.0

Explore how Partial Least Squares Regression models causality in latent space, focusing on practical applications for Industry 4.0 and multivariate statistical analysis.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

CityTV.nl

How We Troubleshoot Difficult Problems: Cognition and Understanding Causality in Distributed Software Systems

Delve into advanced troubleshooting techniques for distributed systems, exploring cognitive approaches and causal analysis for resolving complex software issues.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

CityTV.nl

Cognition and Understanding Causality in Distributed Software Systems

Explore cognitive challenges and causal relationships in distributed systems, focusing on effective troubleshooting strategies and system behavior analysis for complex software architectures.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Analyze Data to Action Decisions

Master the art of transforming raw data into actionable insights by learning to choose reliable sources, interpret patterns, distinguish correlation from causation, and communicate findings clearly.

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

Advanced Biostatistics Multivariate Analysis

Master multivariate analysis techniques to identify confounders, assess causality, and develop modeling strategies for complex biostatistical relationships.

• OpenLearning
• Self-Paced
• Paid Course

Data Analytics for Lean Six Sigma

3504 ratings at Coursera

Aprenda técnicas de análise de dados para projetos Lean Six Sigma, incluindo visualização, distribuições de probabilidade e testes estatísticos usando Minitab, com exemplos práticos.

• Coursera
• 11 hours 22 minutes
• Self-Paced
• Paid Course

ANOVA and Experimental Design

21 ratings at Coursera

Explore ANOVA, ANCOVA, and experimental design for data science applications. Learn key concepts like randomization, blocking, and factorial design to conduct meaningful experiments and analyze results.

• Coursera
• 1 day 15 hours 57 minutes
• Self-Paced
• Paid Course

A Scientific Approach to Innovation Management

102 ratings at Coursera

Systematic process for assessing innovative ideas through problem-framing and data analysis. Learn to make strategic decisions, avoid pitfalls, and apply scientific approaches to innovation management.

• Coursera
• 13 hours 54 minutes
• Self-Paced
• Paid Course

Reality Bites: Introduction to metaphysics

18 ratings at Coursera

Explore fundamental metaphysical concepts through culinary analogies, examining existence, properties, time, causation, and composition in an accessible and engaging manner.

• Coursera
• 9 hours 9 minutes
• Self-Paced
• Paid Course

The Basics of Libertarian Free Will

11 ratings at Coursera

Explore philosophical perspectives on free will, examining freedom, causation, consciousness, and determinism. Analyze arguments for and against free will, and compare types of libertarian free will.

• Coursera
• 6 hours 31 minutes
• Self-Paced
• Paid Course

Visualize Data

Explore data visualization principles, design thinking, and accessibility to create effective visual communications that clearly convey data insights and analysis results.

• Coursera
• 4 hours 17 minutes
• Self-Paced
• Paid Course

Data Science Fundamentals Part 2: Unit 2

Master statistical inference through hypothesis testing, confidence intervals, and A/B testing while learning to distinguish correlation from causation for robust data analysis.

• Coursera
• 6 hours 9 minutes
• Self-Paced
• Paid Course

Data Analysis for Social Scientists

Learn data analysis techniques for social sciences, including probability, statistics, regression, experiments, and machine learning, with real-world applications and R programming instruction.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Data Analysis for Social Scientists

Master methods for analyzing data to answer cultural, social, economic, and policy questions using R, probability, statistics, and machine learning techniques.

• MITx Online
• 14 weeks, 12-14 hours/week
• Self-Paced
• Free Online Course