Professional Certificate in Quality Management with R
-- viewing nowThe Professional Certificate in Quality Management with R is a comprehensive course that equips learners with essential skills in quality management and data analysis using R programming. This course emphasizes the importance of data-driven decision-making and process improvement in today's fast-paced business environment.
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Course Details
• Introduction to Quality Management with R – Understanding the fundamental principles of quality management, the role of R in quality management, and the benefits of using R for quality improvement.
• Statistical Process Control (SPC) with R – Learning how to use R for SPC, including control charts, capability analysis, and process capability indices.
• Measurement System Analysis (MSA) with R – Understanding the importance of MSA in quality management, and how to use R for MSA techniques such as gauge R&R, bias, and linearity.
• Hypothesis Testing with R – Learning the basics of hypothesis testing, including null and alternative hypotheses, type I and type II errors, and p-values, and how to use R for hypothesis testing.
• Design of Experiments (DOE) with R – Understanding the principles of DOE, including factorial and fractional factorial designs, response surface methodology, and Taguchi methods, and how to use R for DOE.
• Six Sigma with R – Learning the principles of Six Sigma, including the DMAIC (define, measure, analyze, improve, control) methodology, and how to use R for Six Sigma tools such as histograms, Pareto charts, and control charts.
• Lean Methodologies with R – Understanding the principles of Lean, including value stream mapping, 5S, and just-in-time, and how to use R for Lean tools such as flow charts and process maps.
• Quality Costs with R – Learning the basics of quality costs, including prevention, appraisal, internal failure, and external failure costs, and how to use R for quality cost analysis.
• Quality Audits with R – Understanding the principles of quality audits, including the audit process, audit checklists, and audit reports, and how to use R for quality audit analysis.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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