Statistical Inference Courses and Certifications

Introduction to Statistical Analysis: Hypothesis Testing

176 ratings at Coursera

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Research Methodology: Complete Research Project Blueprint

2065 ratings at Udemy

Research Methodology From A-Z. A Step-by-Step Guide Through Research Design, Data Collection, Analysis, & Interpretation

• Udemy
• 7 hours 28 minutes
• Self-Paced
• Paid Course

Eindhoven University of Technology

Improving Your Statistical Questions

112 ratings at Coursera

This course aims to help you to ask better statistical questions when performing empirical research.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Statistics for Applications

1 rating

This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications.

• MIT OpenCourseWare
• 28 hours
• Self-Paced
• Free Video

Applied Statistics for Data Analytics

63 ratings at Coursera

Learn descriptive statistics, probability distributions, confidence intervals, and hypothesis testing in spreadsheets, using large language models to formulate hypotheses, run calculations, and interpret results.

• Coursera
• 4 weeks, 9 hours a week
• Self-Paced
• Paid Course

Statistics and Data Analysis with Excel: Intermediate

23 ratings at Coursera

Apply inferential statistics in Excel: build pivot tables and pivot charts, test categorical data with goodness-of-fit, run two-sample tests, and model correlation and simple regression.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Python for Data Analytics

29 ratings at Coursera

Work through a full data analytics workflow in Python: manipulate data with pandas, plot with matplotlib and Seaborn, run t-tests and regressions, and forecast time series.

• Coursera
• 5 weeks, 8 hours a week
• Self-Paced
• Paid Course

Tufts University

Hypothesis Testing with Python and Excel

24 ratings at Coursera

Test hypotheses about a population mean and proportion using Excel and Python, apply the central limit theorem, and plan a workplace experiment.

• Coursera
• 5 hours 14 minutes
• Self-Paced
• Paid Course

Coursera

RStudio for Six Sigma - Hypothesis Testing

14 ratings at Coursera

Perform hypothesis tests hands-on in RStudio: correlation, simple and logistic regression, chi-square, t-tests, ANOVA, and non-parametric Wilcoxon Rank Sum and Kruskal-Wallis tests.

• Coursera
• 2 hours 10 minutes
• Self-Paced
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Probability and Statistics

12 ratings at Coursera

Learn descriptive statistics, probability axioms and Bayes' formula, random variables, binomial, Poisson and normal distributions, sampling and estimation, hypothesis testing, and linear and polynomial regression.

• Coursera
• 9 weeks, 3 hours a week
• Self-Paced
• Paid Course

American Psychological Association Career Certificate

Basic Inferential Statistics for Psychology

10 ratings at Coursera

Learn to test hypotheses in psychological research: null hypothesis significance testing with the z-test, t-tests of means, and chi-square tests of frequency tables.

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

Ball State University

Statistical Methods for Data Science

Model data with discrete and continuous probability distributions, apply Bayes' rule and laws of large numbers, and make inferences through estimation and hypothesis testing in R.

• Coursera
• 5 weeks, 8 hours a week
• Self-Paced
• Paid Course

Statistical Learning

Learn statistical learning in Python: linear regression with ridge and LASSO, LDA and logistic classification, splines, kernel smoothing, model selection, maximum likelihood, SVMs and neural networks.

• Coursera
• 9 weeks, 13 hours a week
• Self-Paced
• Paid Course

American Psychological Association

Intro to Null Hypothesis Significance Testing with z-test

Learn null hypothesis significance testing with the z-test: probability and the normal distribution, sampling distributions and the central limit theorem, Type I/II errors, effect size, confidence intervals, and power.

• Coursera
• 6 weeks, 1 hour a week
• Self-Paced
• Paid Course

American Psychological Association

t-Tests of Hypotheses About Means

Conduct and interpret one-sample, paired-samples, and independent-samples t-tests from raw data or summary statistics, and calculate effect sizes, confidence intervals, and statistical power.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course