The 8 best Statistics courses in 2026

Learn how to reduce process waste, improve operational performance, and make data-driven decisions using Lean Six Sigma methodologies. This comprehensive course equips learners with practical skills in process measurement, statistical analysis, root cause identification, process optimization, and organizational change management. The course begins with the foundations of Lean Six Sigma, introducing value creation, waste elimination, quality improvement principles, and the role of Lean thinking in driving operational excellence. Learners will understand how Lean and Six Sigma work together to

This course will cover the Measure phase and portions of the Analyze phase of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. You will learn about lean tools for process analysis, failure mode and effects analysis (FMEA), measurement system analysis (MSA) and gauge repeatability and reproducibility (GR&R), and you will be introduced to basic statistics. This course will outline useful measure and analysis phase tools and will give you an overview of statistics as they are related to the Six Sigma process. The statistics module will provide you with an overview o

Descriptive and inferential statistics, hypothesis testing, and regression.

Statistics, Python, regression, and machine learning for experienced analysts.

Build spreadsheet models, forecast performance, and use scenario analysis to make data-driven business decisions.

University of Michigan's specialization on statistical inference, visualization, and modeling in Python.

Wharton's data-driven approach to talent management — staffing, collaboration, and performance evaluation with hard data.

Free course on designing and analyzing A/B tests, from Google.