Statistical Inference Courses and Certifications

Statistical Estimation for Data Science and AI

90 ratings at Coursera

Learn statistical inference, sampling distributions, and confidence intervals. Explore estimation methods, construct good estimators, and develop confidence intervals for various settings. Gain practical skills for data analysis and interpretation.

• Coursera
• 1 day 5 hours 23 minutes
• On-Demand
• Paid Course

Managing, Describing, and Analyzing Data

34 ratings at Coursera

Learn to classify, visualize, and analyze data using R. Master descriptive statistics, probability distributions, sampling techniques, and hypothesis testing for informed decision-making and statistical inference.

• Coursera
• 17 hours 49 minutes
• On-Demand
• Paid Course

Statistics and Data Analysis with Excel: Essentials

66 ratings at Coursera

Master statistical analysis and data interpretation using Excel to transform raw data into meaningful insights for informed decision-making across various industries.

• Coursera
• 11 hours 49 minutes
• On-Demand
• Paid Course

Introduction to Statistics (English Edition)

60 ratings at Udemy

This course is an introduction to statistics, covering probability distributions, estimation, and hypothesis testing.

• Udemy
• 4 hours 2 minutes
• On-Demand
• Paid Course

Applied Statistics for Data Analytics

57 ratings at Coursera

Gain insights into foundational statistics, from descriptive analysis to hypothesis testing, while mastering practical techniques for extracting meaningful insights from data through hands-on examples.

• Coursera
• 1 day 10 hours 46 minutes
• On-Demand
• Paid Course

Microcredential

Advanced Statistical Techniques for Data Science

48 ratings at Coursera

Master advanced statistical techniques for data science including regression, model diagnostics, variable selection, Bayesian statistics, and data preparation for complex analysis.

• Coursera
• 16 weeks, 10 hours a week
• On-Demand
• Paid Course
• 5 courses

Excel Skills for Statistics and Data Analysis: Essentials

Master essential Excel skills for statistical analysis, from descriptive to inferential statistics, transforming data into meaningful insights for better decision-making across various fields.

• Coursera
• 12 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

Linear Regression

30 ratings at Coursera

Learn to apply linear regression techniques using R, covering simple and multiple regression, qualitative predictors, and statistical inference for data-driven career applications.

• Coursera
• 1 day 3 hours 3 minutes
• On-Demand
• Paid Course

Data Analysis for Business

28 ratings at Coursera

Equip yourself with data analysis tools and techniques for informed business decision-making. Learn to extract insights, enhance processes, and drive strategic initiatives through hands-on applications.

• Coursera
• 21 hours 2 minutes
• On-Demand
• Paid Course

MathTrackX: Statistics

6 ratings at edX

Understand fundamental concepts relating to statistical inference and how they can be applied to solve real world problems.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

MathTrackX: Probability

Understand probability and how it manifests in the world around us.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Ball State University

Statistical Methods for Data Science

Master statistical methods and probability theory for data science through hands-on applications in R, covering distributions, inference, multivariate analysis, and real-world problem-solving techniques.

• Coursera
• 1 day 15 hours 59 minutes
• On-Demand
• Paid Course

Variable Selection, Model Validation, Nonlinear Regression

Master advanced regression techniques for data-driven industries. Learn logistic, Poisson, and robust regression, generalized linear models, and model validation using R for practical applications.

• Coursera
• 20 hours 43 minutes
• On-Demand
• Paid Course

Bayesian Computational Statistics

Rigorous introduction to Bayesian inference, covering theory, computation, and practical implementation using statistical software. Explores advanced topics and applications in data analysis.

• Coursera
• 3 days 16 hours 39 minutes
• On-Demand
• Paid Course

London School of Economics and Political Science Microcredential

Statistics Fundamentals

Comprehensive introduction to essential statistical concepts, methods, and techniques for quantitative careers or further study. Covers data analysis, probability, distribution theory, and statistical inference.

• edX
• 21 weeks, 9-12 hours a week
• On-Demand
• $996.00
• 4 courses