Statistical Process Control Courses and Certifications

Statistical Process Control (SPC) Using Microsoft Excel

2234 ratings at Udemy

Statistical Process Control with Excel: Control Charts, Pareto, Regression, and Data Analysis for Manufacturing Quality

• Udemy
• 10 hours 49 minutes
• Self-Paced
• Paid Course

Six Sigma Part 2: Analyze, Improve, Control

985 ratings

Learn how to statistically analyze process data to determine the root cause and propose solutions for process problems, to implement quality management tools, such as 8D and the 5 Whys, and to underst

• edX
• 8 weeks, 3-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Process Capability Analysis

3717 ratings at Udemy

Master Cp, Cpk, Pp, and Ppk to Meet Customer Specs and Improve Process Performance

• Udemy
• 6 hours 45 minutes
• Self-Paced
• Paid Course

Stability and Capability in Quality Improvement

18 ratings at Coursera

Build and interpret control charts in R for continuous, non-normal, and discrete data, and assess process capability against specifications to guide improvement decisions.

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

Measurement Systems Analysis

11 ratings at Coursera

Analyze continuous and discrete measurement systems in R: correlation and association, one-way ANOVA with fixed and random effects, gauge capability studies, and Kappa agreement statistics.

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

Manufacturing Process Control II

Learn how to control process variation, including methods to design experiments that capture process behavior and understand means to control variability.

• edX
• 8 weeks, 10-12 hours a week
• Self-Paced
• Free Online Course (Audit)

Coursera

RStudio for Six Sigma - Control Charts

Plot and interpret control charts in RStudio: choose IMR, Xbar-R, Xbar-S, NP, P, C or U charts by data type and apply Western Electric and Nelson rules.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Advanced Methods for Analyzing Variation in Healthcare Data

Select and interpret Shewhart charts (I, Xbar S, P, C, U) for healthcare data, apply CUSUM and EWMA adaptations, and use Pareto charts and scatterplots to guide improvement.

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

Manufacturing Process Control I

Learn to detect and analyze manufacturing process problems using random-process models, SPC, Xbar, EWMA, CUSUM, and discrete-event methods.

• MITx Online
• Self-Paced
• Free Online Course

Six Sigma Advanced Improve and Control Phases

841 ratings at Coursera

Work through the Improve and Control phases of DMAIC: root cause analysis with the 7-step model and SMED, lean tools, control plans, and statistical process control.

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

SUNY;  University at Buffalo Career Certificate

Data-Driven Decision Making (DDDM)

535 ratings at Coursera

Learn to steer organizational choices with data: analyze process maps, apply statistical process control, build metrics dashboards, and tie operations metrics to performance.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Root Cause Analysis and the 8D Corrective Action Process

7104 ratings at Udemy

A Comprehensive Approach to Problem Solving: Analysis, Containment, and Permanent Corrective Action

• Udemy
• 10 hours 26 minutes
• Self-Paced
• Paid Course

NPTEL;  IIT Kharagpur

Six Sigma

7 ratings

A detailed Six Sigma course applying DMAIC to process improvement and variation reduction through quality tools, statistical analysis, experiments, and process control.

• YouTube
• 1 day 13 hours
• Self-Paced
• Free Video

University at Buffalo;  SUNY

Data Analysis and Visualization

180 ratings at Coursera

Compare data analysis tools like R, Minitab, MATLAB and Python, apply statistical process control to study variation, and build data stories with Tableau, Excel and Power BI.

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

Using Data for Healthcare Improvement

49 ratings at Coursera

Measure whether quality improvement initiatives actually work: design measurement schemes, analyse time series with Shewhart charts in R, and apply qualitative methods and implementation frameworks.

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