Minitab Certified Course

The Minitab Certified Course is an industry-oriented training program designed to help professionals master statistical analysis, quality improvement, process optimization, and data-driven decision-making using Minitab statistical software. The course covers essential statistical concepts, data visualization, descriptive statistics, hypothesis testing, regression analysis, ANOVA, Design of Experiments (DOE), Statistical Process Control (SPC), Measurement System Analysis (MSA), and Six Sigma quality tools. Participants will gain hands-on experience in analyzing real-world datasets, identifying process variations, improving product quality, and solving complex business and engineering problems through practical case studies. The program enables learners to apply Minitab techniques across manufacturing, healthcare, finance, IT, research, and service industries. By the end of the course, participants will be proficient in using Minitab for advanced statistical analysis, quality improvement projects, and continuous improvement initiatives, preparing them for careers in quality engineering, data analytics, Six Sigma, and process excellence roles.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Minitab Certified Course:

• Minitab Statistical Analyst
• Data Analyst
• Statistical Analyst
• Quality Analyst
• Quality Engineer
• Six Sigma Analyst
• Process Improvement Engineer
• Continuous Improvement Specialist
• Quality Assurance (QA) Engineer
• Quality Control (QC) Engineer
• Manufacturing Quality Engineer

Essential Skills You Will Develop in the Minitab Certified Course:

• Statistical Data Analysis using Minitab
• Data Importing, Cleaning, and Management
• Descriptive Statistics and Data Visualization
• Probability Analysis and Distribution Techniques
• Hypothesis Testing and Statistical Inference
• Regression Analysis and Correlation Studies
• Analysis of Variance (ANOVA)
• Design of Experiments (DOE)
• Statistical Process Control (SPC)
• Control Charts Creation and Analysis
• Measurement System Analysis (MSA)
• Process Capability Analysis (Cp, Cpk, Pp, Ppk)
• Root Cause Analysis (RCA)

Tools Covered:

• Minitab Statistical Software
• Minitab Workspace
• Minitab Connect (Data Management Basics)
• Minitab Engage (Project Management & Improvement Tools)
• Minitab Companion Tools
• Microsoft Excel (Data Import & Analysis)
• Microsoft Power BI (Data Visualization & Reporting)
• JMP Statistical Software (Comparison & Workflow Basics)
• R Programming (Statistical Analysis Basics)
• Python for Data Analysis (Statistical Computing Basics)
• Six Sigma DMAIC Tools
• Statistical Process Control (SPC) Tools
• Design of Experiments (DOE) Tools
• Measurement System Analysis (MSA) Tools

Syllabus:

Module 1: Introduction to Minitab

• Overview of Minitab Statistical Software
• User Interface, Worksheets, and Data Management
• Importing, Organizing, and Preparing Data

Module 2: Descriptive Statistics & Data Visualization

• Data Summarization Techniques
• Mean, Median, Standard Deviation, and Distribution Analysis
• Graphical Analysis using Histograms, Box Plots, and Scatter Plots

Module 3: Probability & Statistical Fundamentals

• Probability Concepts and Distributions
• Normal Distribution Analysis
• Sampling Techniques and Statistical Inference

Module 4: Hypothesis Testing

• One-Sample and Two-Sample Tests
• t-Tests and Chi-Square Tests
• ANOVA Analysis and Interpretation

Module 5: Regression Analysis

• Correlation Analysis
• Simple and Multiple Regression
• Model Validation and Prediction Techniques

Module 6: Design of Experiments (DOE)

• DOE Fundamentals
• Factorial Design and Response Optimization
• Process Parameter Optimization using Minitab

Module 7: Statistical Process Control (SPC)

• Control Chart Creation and Analysis
• Process Monitoring Techniques
• Process Stability and Variation Reduction

Module 8: Quality & Six Sigma Analysis

• Measurement System Analysis (MSA)
• Process Capability Analysis (Cp, Cpk, Pp, Ppk)
• Root Cause Analysis and Continuous Improvement

Module 9: Advanced Statistical Analysis

• Reliability Analysis
• Multivariate Analysis
• Predictive Analytics using Statistical Methods

Module 10: Industry Projects & Capstone

• Manufacturing Quality Improvement Project
• Six Sigma Process Optimization Project
• Real-World Data Analysis Project using Minitab including statistical testing, process improvement, visualization, reporting, and final presentation.

Industry Projects:

• Manufacturing Quality Improvement Project – Analyze production data, identify defects, and improve product quality using statistical tools in Minitab.
• Six Sigma Process Optimization Project – Apply DMAIC methodology with Minitab analysis to reduce process variation and improve efficiency.
• Statistical Process Control (SPC) Project – Develop control charts to monitor process stability and identify improvement opportunities.
• Process Capability Analysis Project – Evaluate Cp, Cpk, Pp, and Ppk values to assess manufacturing process performance.
• Design of Experiments (DOE) Project – Optimize process parameters using factorial design and response optimization techniques.
• Root Cause Analysis Project – Analyze process failures using statistical methods and identify corrective actions.
• Measurement System Analysis (MSA) Project – Perform Gage R&R studies to validate measurement system accuracy and reliability.
• Predictive Quality Analysis Project – Use regression analysis and statistical modeling to predict process outcomes.

Who is this program for?

• Engineering Students
• Mechanical, Civil, Electrical & Electronics Engineering Students
• Quality Engineering Professionals
• Quality Assurance (QA) Engineers
• Quality Control (QC) Professionals
• Six Sigma Green Belt & Black Belt Professionals
• Manufacturing Engineers
• Process Improvement Engineers
• Industrial Engineers
• Production Engineers
• Data Analysts
• Business Analysts
• Statistical Analysts
• Research Scholars & Academicians
• R&D Professionals

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com