Confidence Intervals Courses and Certifications

Simple Regression Analysis in Public Health

375 ratings at Coursera

Learn to apply simple regression methods in public health, including linear, logistic, and Cox regression. Practice interpreting data and performing calculations using real-world examples.

• Coursera
• 13 hours 56 minutes
• On-Demand
• Free Online Course (Audit)

Multiple Regression Analysis in Public Health

298 ratings at Coursera

Extend simple regression to predict outcomes using multiple variables. Practice interpreting data and performing calculations on real studies in public health and biostatistics.

• Coursera
• 14 hours
• On-Demand
• Free Online Course (Audit)

Microcredential

Statistics with Python

Learn statistical analysis using Python, from data collection and visualization to advanced modeling, enhancing your ability to answer research questions with data-driven insights.

• Coursera
• 13 weeks, 4 hours a week
• On-Demand
• Paid Course
• 3 courses

Foundations of Inference in R

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Customer Analytics and A/B Testing in Python

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Inference for Numerical Data in R

In this course you'll learn techniques for performing statistical inference on numerical data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Inference for Categorical Data in R

In this course you'll learn how to leverage statistical techniques for working with categorical data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Statistical Inference in R

A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

• DataCamp
• 16 hours
• On-Demand
• Free Trial Available

Introduction to Data Visualization with Seaborn

105 ratings at DataCamp

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Statistical Techniques in Tableau

17 ratings at DataCamp

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

This course complements the course on Inferential Statistics at Coursera.

• DataCamp
• On-Demand
• Free Trial Available

Inferential Statistics

2718 ratings at Coursera

Explore inferential statistics through hypothesis testing, p-values, and data analysis using R. Learn to interpret and report results for numerical and categorical data with confidence.

• Coursera
• 16 hours 2 minutes
• On-Demand
• Free Online Course (Audit)

Business Applications of Hypothesis Testing and Confidence Interval Estimation

1317 ratings at Coursera

Learn to apply confidence intervals and hypothesis testing in business decision-making. Master statistical tools to measure uncertainty, analyze data, and make informed choices in various business scenarios.

• Coursera
• 1 day 28 minutes
• On-Demand
• Free Online Course (Audit)

Data Analysis for Managerial Decision-Making

Refresh quantitative skills for MBA programs through practical examples and Excel-based data analysis, covering math, statistics, and real-world applications.

• Coursera
• 18 hours 56 minutes
• On-Demand
• Free Online Course (Audit)

Statistical Inference for Estimation in Data Science

85 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 4 hours 2 minutes
• On-Demand
• Free Online Course (Audit)