Certificate in Statistical Quality Metrics: Performance Evaluation Frameworks
-- ViewingNowThe Certificate in Statistical Quality Metrics: Performance Evaluation Frameworks course is a comprehensive program designed to equip learners with essential skills in statistical quality metrics. This course is critical for professionals seeking to advance their careers in quality management, data analysis, and performance improvement.
7 811+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
ร propos de ce cours
100% en ligne
Apprenez de n'importe oรน
Certificat partageable
Ajoutez ร votre profil LinkedIn
2 mois pour terminer
ร 2-3 heures par semaine
Commencez ร tout moment
Aucune pรฉriode d'attente
Dรฉtails du cours
โข Introduction to Statistical Quality Metrics: Understanding the fundamental concepts, importance, and applications of statistical quality metrics in performance evaluation frameworks.
โข Key Statistical Quality Metrics: A deep dive into essential metrics, such as mean, median, mode, standard deviation, variance, and range, with practical examples.
โข Measurement System Analysis (MSA): Exploring the components of MSA, including gauges, repeatability, reproducibility, stability, and bias, to ensure accurate and consistent measurements.
โข Control Charts: Mastering the creation and interpretation of control charts to monitor, analyze, and improve processes by distinguishing between common and special causes of variation.
โข Capability Analysis: Learning how to assess process capability using statistical metrics, such as Cp, Cpk, Pp, and Ppk, and determining the impact on overall performance.
โข Hypothesis Testing: Understanding the principles of hypothesis testing, including null and alternative hypotheses, significance levels, test statistics, and p-values, to make data-driven decisions.
โข Acceptance Sampling: Discovering strategies for accepting or rejecting lots based on sample data, including single, double, and multiple sampling plans, and attribute and variable sampling methods.
โข Design of Experiments (DOE): Exploring the fundamentals of DOE, including factorial designs, randomization, replication, blocking, and confounding, to optimize processes and products.
โข Process Improvement Techniques: Applying statistical quality metrics to popular process improvement methodologies, such as Six Sigma, Lean, and Total Quality Management (TQM), to drive continuous improvement.
Parcours professionnel
Exigences d'admission
- Comprรฉhension de base de la matiรจre
- Maรฎtrise de la langue anglaise
- Accรจs ร l'ordinateur et ร Internet
- Compรฉtences informatiques de base
- Dรฉvouement pour terminer le cours
Aucune qualification formelle prรฉalable requise. Cours conรงu pour l'accessibilitรฉ.
Statut du cours
Ce cours fournit des connaissances et des compรฉtences pratiques pour le dรฉveloppement professionnel. Il est :
- Non accrรฉditรฉ par un organisme reconnu
- Non rรฉglementรฉ par une institution autorisรฉe
- Complรฉmentaire aux qualifications formelles
Vous recevrez un certificat de rรฉussite en terminant avec succรจs le cours.
Pourquoi les gens nous choisissent pour leur carriรจre
Chargement des avis...
Questions frรฉquemment posรฉes
Frais de cours
- 3-4 heures par semaine
- Livraison anticipรฉe du certificat
- Inscription ouverte - commencez quand vous voulez
- 2-3 heures par semaine
- Livraison rรฉguliรจre du certificat
- Inscription ouverte - commencez quand vous voulez
- Accรจs complet au cours
- Certificat numรฉrique
- Supports de cours
Obtenir des informations sur le cours
Payer en tant qu'entreprise
Demandez une facture pour que votre entreprise paie ce cours.
Payer par FactureObtenir un certificat de carriรจre