minitab

Minitab 2026 Statistical Software - Ready-to-run Windows edition with pro features active after a quick setup.

Lean Six Sigma with Python — Kruskal Wallis Test

minitab pro download — Minitab Pro for Windows 11 & 10. Direct download, install steps and setup guide.

Project to predict price pass-through, contributing to the company's Revenue area, to predict the ideal SKU value based on various market and competitive variables.

Analyzing Electric Circuit Board Defect Dataset for Statistical Process Control using various Quality Tools & Techniques for the enhancement of Quality Control in a Manufacturing Setting.

Lean Six Sigma with Python — Logistic Regression

Data Analysis Portfolio showcasing projects in Python, SQL, Excel, Machine Learning, Minitab and even more. Includes Kaggle courses, practical exercises, and certified training. Constantly updated to reflect growth in data analysis and related tools.

Multivariate Data Analysis | Spring 2023

Lean 6σ Green Belt Project: Process Improvement at Zoni Footwear Company using DMAIC Approach

Time series forecasting project using R and Minitab

This repository presents a real-world simulation of TPM implementation and visual control mechanisms within a steel manufacturing plant, leveraging Minitab for analysis and performance monitoring

This repository presents a real-world Make-To-Stock (MTS) supply chain issue in an FMCG retail environment.

Portafolio de Análisis de Datos con proyectos en Python, SQL, Excel, Machine Learning, Minitab y mucho más. Incluye cursos de Kaggle, prácticas y certificaciones. Se actualiza constantemente para reflejar mi crecimiento en análisis de datos y herramientas afines.

A statistical analysis workbench for Windows. 239 procedures across Basic Statistics, Regression, ANOVA, Calc, Data and Graph, with typeset PDF reports and more to add. Runs entirely offline — no account, no subscription. The same analysis engine is also an MCP server, so Claude can drive it.

A curated collection of focused mini-projects across Data Science, Machine Learning, Statistics and Automation. Highlights specific technical challenges, rapid prototyping, and experimental implementations.

Six Sigma DMAIC + machine learning applied to telecom customer churn. 26.5% baseline churn reduced to a projected 10%. SJSU ISE 250.

Process improvement portfolio — Lean Six Sigma, SPC, VSM and Excel case studies by a Chemical & Process Quality Engineer.

Notes, assignments, and code from my Statistics coursework at Comilla University.