No prior Six Sigma experience required; basic statistics knowledge helpful.Learn Lean principles, DMAIC roadmap, and process improvement ...
Define Phase: project scoping, VOC, CTQ trees.Measure Phase: data collection, MSA, descriptive stats.Analyze Phase: root-cause analysis, ...
Apply Lean tools: 5S, Kaizen events, Value Stream Mapping.Conduct hypothesis testing, regression analysis, and ANOVA.Use Minitab for ...
Prepare for Six Sigma Green Belt roles with ASQ/ICGB certification prep.Build skills for Process Excellence Analyst and Continuous Improvement ...
Hands-on labs for each DMAIC phase using real datasets.Design experiments, analyze root causes, and test improvements.Create control charts ...
Basic familiarity with R is helpful but not mandatory.Covers RStudio setup, package installation, and data types.Introduces dplyr, tidyr, ...
Implement descriptive statistics, t-tests, chi-square tests, and ANOVA.Build linear and logistic regression models.Train decision trees and ...
Develop interactive dashboards using Shiny.Create dynamic plots and visualizations with plotly.Automate reporting via R Markdown....
Prepare for Data Analyst and Business Intelligence roles.Gain skills in data cleaning, visualization, and modeling.Build end-to-end ...
Hands-on exercises for data import, cleaning, and manipulation.Explore data trends with exploratory data visualization.Build predictive ...
