Statistical Inference Courses and Certifications

Harvard CMSA

Leveraging Synthetic Data in Statistical Inference

Discover how to safely combine synthetic and real data to enhance statistical inference power while maintaining error bounds without distributional assumptions on synthetic data quality.

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

IEEE

Cookbook Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 3

Explore advanced statistical inference techniques for distributed and constrained environments, focusing on lower bound analysis and practical applications in complex data scenarios.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

IEEE

Cookbook Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 2

Explore advanced statistical inference techniques for distributed and constrained environments, focusing on lower bounds and their applications in complex data analysis scenarios.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Inferential Statistics

Master inferential statistics to perform data analysis using appropriate statistical theory and methodology, enabling confident interpretation of data-driven insights.

• OpenLearning
• Self-Paced
• Paid Course

Career Certificate

Inferential Statistics for Data Analysis Course

Master statistical inference techniques to draw valid conclusions from sample data, estimate population parameters, test hypotheses, and perform regression analysis.

• Graduate School USA
• Self-Paced
• $1,049.00

Career Certificate

Data Science

9 ratings

Master the complete data science pipeline: from asking questions to publishing results. Gain practical skills in data manipulation, visualization, and analysis through hands-on projects using real-world data.

• Coursera
• 28 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 11 courses

American Psychological Association Career Certificate

Basic Inferential Statistics for Psychology

5 ratings at Coursera

Master essential statistical methods in psychology research, from z-tests and t-tests to chi-square analysis, using practical software tools for data interpretation and hypothesis testing.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Engineering Probability and Statistics Part 2

Explore statistical inference through hypothesis testing, confidence intervals, ANOVA, and sampling distributions to solve engineering problems with data-driven insights.

• Coursera
• 1 day 42 minutes
• Self-Paced
• Paid Course

Coursera

Run Inference & Hypothesis Tests

Master statistical inference through confidence intervals, hypothesis testing, and power analysis to make data-driven business decisions with Python/R.

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

Career Certificate

Data Science Foundations: Statistical Inference

364 ratings at Coursera

Gain a solid foundation in probability theory, statistical inference, and data analysis using R. Master essential skills for statistical hypothesis testing and confidence intervals in data science applications.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Basic Statistics

13 ratings

Explore statistical concepts, from descriptive methods to inferential techniques. Learn to calculate, interpret, and apply statistics using real-world examples and free software.

• Coursera
• 17 hours 25 minutes
• Self-Paced
• Paid Course

Statistical Inference and Hypothesis Testing in Data Science Applications

55 ratings at Coursera

Learn hypothesis testing for data science applications, covering theory, implementation, and ethical considerations. Develop skills to make informed decisions from data using statistical inference techniques.

• Coursera
• 1 day 12 hours 40 minutes
• Self-Paced
• Paid Course

Career Certificate

Introduction to Inferential Statistics

Master inferential statistics with Python through confidence intervals, hypothesis testing, t-tests, ANOVA, and real-world projects to make data-driven decisions.

• Zero To Mastery
• 9 hours
• Self-Paced
• Paid Course

Professor Leonard

Sampling Distributions - Using Samples to Approximate Populations

Explore sampling distributions and learn techniques for using sample data to approximate population parameters in statistical analysis.

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

Banach Center

Statistical Inference for Elementary Oscillator-Based True Random Number Generators

Poznaj metody statystycznego wnioskowania dla generatorów liczb losowych opartych na oscylatorach elementarnych.

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