Confidence Intervals Courses and Certifications

NPTEL-NOC IITM

Confidence Interval Estimation - Part 3

Explore confidence interval estimation for population variance and proportion in this statistical analysis module.

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

Hypothesis Testing

Learn to use statistical inference, confidence intervals, hypothesis testing, and A/B tests to evaluate experiments with Python.

• Udacity
• 21 hours
• Self-Paced
• Paid Course

NPTEL-NOC IITM

Error Bars and Confidence Intervals - Part 2

Explore error bars, confidence intervals, and z-statistics for data analysis. Learn techniques for small datasets and estimating confidence intervals.

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

NPTEL-NOC IITM

Error Bars and Confidence Intervals - Part 1

Explore error bars, confidence intervals, and z-statistics for data estimation, with focus on small sample sizes.

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

Wrath of Math

Margin of Error in Confidence Intervals - Statistics Guide

Comprehensive guide to calculating and interpreting margin of error in confidence intervals for various statistical scenarios, with practical examples and tips for adjusting sample size.

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

UofU Data Science

Confidence Intervals and Hypothesis Testing with R Examples - Lecture 16

Master statistical analysis through confidence intervals and hypothesis testing, with practical R programming examples for real-world data interpretation and decision-making.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

UofU Data Science

t-Distribution and Confidence Intervals - Lecture 14

Explore statistical inference through t-distributions, confidence intervals, and estimators, building essential skills for data analysis and probability interpretation.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

UofU Data Science

Confidence Intervals and Margin of Error in Statistical Polling - Lecture 14B

Master confidence interval concepts through simulations, exploring margin of error in polling, and understanding how intervals reliably capture true population parameters.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

UofU Data Science

Probability and Statistics: Estimation and Confidence Intervals for Normal Random Variables - Lecture 14

Master statistical estimation techniques and confidence intervals, focusing on normal random variables with known variance through practical examples and theoretical foundations.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

DigitalSreeni

Advanced Correlation Analysis in Python - Confidence Intervals and Statistical Testing - Part 3/4

Master advanced correlation analysis with confidence intervals, multiple testing corrections, bootstrap validation, and hierarchical clustering for statistically rigorous results.

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

Statistics for Business Analytics and Data Science A-Z™

12889 ratings at Udemy

Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!

• Udemy
• 6 hours 6 minutes
• Self-Paced
• Paid Course

Hypothesis Testing

Unlock the power of data-driven decision-making with hypothesis testing!

• OpenLearning
• 20 hours
• Self-Paced
• Paid Course

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

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

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