Statistical Inference Courses and Certifications

Statistical Methods and Data Analysis

Discover statistical methods and R programming for data analysis, covering visualization, descriptive statistics, probability, sampling, significance tests, regression, and big data techniques.

• Coursera
• 20 hours 23 minutes
• On-Demand
• Paid Course

Econometrics - Theory and Practice

Master econometric theory and practice through regression analysis, hypothesis testing, and statistical inference for analyzing economic relationships and data.

• Coursera
• 1 day 7 hours 43 minutes
• On-Demand
• Paid Course

Corporate Finance Institute

Regression Analysis - Fundamentals & Practical Applications

Master linear regression techniques through hands-on practice in Excel and Python, from basic calculations to advanced modeling. Learn to interpret statistical outputs and make data-driven predictions for real business applications.

• Coursera
• 4 hours 8 minutes
• On-Demand
• Paid Course

Microcredential

Statistical Analysis in R

Learn applied statistical data analysis using R, from basic inference to advanced modeling, with practical implementation and guidance on method selection.

• edX
• 12 weeks, 5-10 hours a week
• On-Demand
• $618.00
• 2 courses

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
• On-Demand
• Paid Course

Data Science and Machine Learning for Business Professionals

Discover foundational data science and machine learning skills to make confident, data-driven decisions and communicate insights effectively to stakeholders in any professional setting.

• Coursera
• 10 hours 41 minutes
• On-Demand
• Paid Course

EDUCBA

Analyze Business Data Using Statistics Foundations

Master statistical analysis for business decisions through probability models, hypothesis testing, and data interpretation to drive evidence-based strategies.

• Coursera
• 13 hours 32 minutes
• On-Demand
• Paid Course

Introduction to Probability

Master probability theory fundamentals from MIT, covering random variables, Bayesian inference, statistical analysis, and Markov chains for data analysis applications.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

NPTEL;  IIT Kanpur

Essentials of Data Science With R Software - Probability and Statistical Inference

The main objective of statistics is to work on a small sample of data but provide conclusions for the whole population. Such results cannot be obtained without learning the concepts and tools of theory of probability and statistical inference.

• YouTube
• 1 day 10 hours
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking 2022 - Bayesian Inference

Explore Bayesian inference through practical examples like globe tossing. Learn updating, sampling, and computing distributions using grid approximation and posterior predictive methods.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Banach Center

Wnioskowanie Statystyczne dla Modeli Niezawodności Oprogramowania

Poznaj metody wnioskowania statystycznego w modelach niezawodności oprogramowania. Zgłęb techniki analizy i oceny niezawodności systemów informatycznych.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Stanford Seminar - Theories of Inference for Visual Analysis

Explore theories of visual inference, including uncertainty visualization, effect size judgments, and Bayesian cognition. Learn how visualizations support causal inference and model checks in data analysis.

• YouTube
• 1 hour
• On-Demand
• Free Online Course

Python Statistics Essential Training

137 ratings at LinkedIn Learning

Learn to use Python to unlock the power of data and use it to inform decisions.

• LinkedIn Learning
• 2 hours 39 minutes
• On-Demand
• Free Trial Available

Simons Institute

Statistical Limits of Causal Inference

Explore fundamental limits of causal effect estimation in observational data, examining personalized effects, non-smooth settings, and discrete scenarios without assuming prior causal inference knowledge.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Centre de recherches mathématiques - CRM

Statistical Frameworks for Trustworthy Machine Learning - Privacy, Uncertainty, and Online Inference

Discover advanced statistical frameworks for trustworthy ML, covering Gaussian differential privacy on manifolds and online quantile regression with uncertainty quantification.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video