Minitab Training in South Korea

Minitab Training Courses & Contents

 

Minitab Essentials

In a comprehensive 2-day Minitab training, learn to optimize data analysis by importing, exploring, and visualizing data effectively. Through hands-on exercises, apply statistical methods to real-world datasets, identifying process issues and enhancing outcomes. The course covers hypothesis testing, confidence intervals, and variable connections using statistical models. Gain practical skills for informed decision-making in manufacturing, engineering, research, and development, improving problem-solving and decision processes in your professional pursuits. Contact us for Minitab Training : Click Here

Topics

Importing Data  || Types and Formats of Data in Minitab  ||  Bar Chart  ||  Histograms  ||  Boxplots  ||  Pareto Charts  ||  Scatterplots  ||  Tables and Chi-Square Analysis  ||  Measures of Location and Variation  ||  t-Tests  ||  Proportion Tests  ||  Tests for Equal Variance  ||  Power and Sample Size  ||  Correlation  ||  Simple Linear and Multiple Regression  ||  One-Way ANOVA  ||  Multi-Variable ANOVA  ||  Equivalence tests

 

Statistical Quality Analysis

Enroll in this Minitab training to master measurement system appraisal and validation in manufacturing and engineering. Learn core statistical process control principles for quality assurance and enhance manufacturing procedures. Gain expertise in utilizing diverse control charts and capability analysis tools in Minitab to assess operational performance against benchmarks and customer specifications. This course focuses on quality tools' relevance to manufacturing, equipping you to elevate efficiency and quality in your endeavors by applying these insights effectively. Contact us for Minitab Training : Click Here

Topics

Gage R&R  ||  Destructive Testing  || Gage Linearity and Bias  ||  Attribute Agreement  ||  Variables and Attribute Control Charts  ||  Capability Analysis for Normal, Nonnormal, and Attribute Data  ||  Attribute Agreement for Binary, Nominal, and Ordinal Data  ||  Kappa and Kendall's Coefficients  ||  Acceptance Sampling  ||  Variables, Attribute, and Rare Event Control Charts

 

Factorial Designs

In this Minitab training, learn to create full and fractional factorial designs using the user-friendly DOE interface. Real-world examples illustrate the importance of randomization, replication, and blocking in experimental methodologies. Gain the ability to analyze resulting data effectively, aiding the achievement of experimental goals. Develop a strong grasp of factorial design concepts. Utilize Minitab's graphical presentations to interpret and communicate experiment findings, enhancing products and processes, identifying key factors, reducing variability, and accelerating research and development. Contact us for Minitab Training : Click Here

Topics

Design of Factorial Experiments  ||  Normal plot of the effects  ||  Pareto chart of standardized effects  ||  Power and Sample Size  ||  Main Effect, Interaction, and Cube Plots  ||  Center Points  ||  Overlaid Contour Plots  ||  Multiple Response Optimization

 

Additional Topics in Statistical Quality Analsysis

Elevate your skills with advanced tools in this Minitab training, building on Manufacturing Statistical Quality Analysis principles. Gain expertise in certifying complex measurement systems and assessing multiple gauges or component locations. Learn to appraise product subsets for decision-making, expand control charting abilities, and master capability analysis for process alignment with benchmarks and customer requirements. The course emphasizes quality tools' relevance to manufacturing, ensuring you navigate intricacies and optimize outcomes effectively. Contact us for Minitab Training : Click Here

Topics

Gage R&R Expanded  ||  Orthogonal Regression  ||  Tolerance Intervals  ||  Acceptance Sampling  ||  Between-Within Capability Analysis  ||  Control Charts including EWMA, Short-Run, and Rare Events

 

Analysis of Non-Normal Data for Quality

Expand your Minitab training beyond foundational principles with the Manufacturing Statistical Quality Analysis course. Learn advanced tools to assess quality standards and process competence even with skewed, outlier-prone, or multimodal data. Deepen control chart skills to detect special causes amid non-normally distributed data. Employ graphical techniques and tests to handle such data, selecting suitable distributions or transformations. Understand the impact of measurement resolution and sample size on data normality assessment. This course equips you to navigate complex data scenarios and make informed decisions using robust statistical practices. Contact us for Minitab Training : Click Here

Topics

Probability Plots  ||  Tests for Normality  ||  Capability Analysis for Nonnormal Data  ||  Box-Cox and Johnson transformations  ||  Multiple Variables Capability Analysis  ||  Tolerance Intervals  ||  Individuals Control Charts  ||  Multiple Failure Modes Analysis

 

Statistical Modeling

Advance your Minitab training beyond the Minitab Essentials course to explore extended statistical modeling tools. Learn how these tools uncover connections between variables using practical examples. Master statistical models for process behavior across conditions, enhancing your understanding and validation of improvement efforts. This course empowers informed decisions, refining strategies for process enhancement based on insights into critical inputs and variation origins. Contact us for Minitab Training : Click Here

Topics

Multiple and Stepwise Regression  ||  Nonlinear Regression  ||  Partial Least Squares Regression  ||  MANOVA  ||  Covariates  ||  Nesting and Random Factors  ||  Binary and Nominal Logistic Regression  ||  Time Series Tools, including Forecasting  ||  Seasonality and Decomposition  ||  Multiple Linear Regression including Best Subsets and Stepwise Regression

 

Response Surface Designs

Expand your expertise from basic factorial designs to specialized optimization techniques in Minitab training. Learn to create response surface designs, analyzing outcomes through models with quadratic components to find optimal factor configurations. Embrace sequential methods for real-world experimentation, balancing insight discovery and resource allocation. Master harmonizing factor settings for multiple responses, refining processes holistically. This course equips you with tools to navigate complex optimization challenges, enhancing decision-making in practical scenarios. Contact us for Minitab Training : Click Here

Topics

Central Composite and Box-Behnken Designs  ||  Calculations for Steepest Ascent  ||  Overlaid Contour Plots  ||  Multiple Response Optimization

 

DOE in Practice

Master addressing diverse scenarios in Design of Experiments (DOE) with specialized techniques in Minitab training. Adapt analysis of classical factorial and response surface designs for unique response variable attributes or data collection challenges. Learn to handle missing data, challenging factors, and external variables. Explore cost and variability reduction alongside optimizing key product/process aspects. Quantify factor impacts on critical events like defects. Navigate complex DOE situations for effective decision-making and optimal real-world outcomes. Contact us for Minitab Training : Click Here

Topics

Investigate the effect of a noise factors or covariate on the response  ||  Create and run a design with hard-to-change factors  ||  Optimize responses while minimizing cost or variability  ||  Analyze a DOE with a binary response

 

Formulation and Mixture Designs

Master addressing diverse scenarios in Design of Experiments (DOE) with specialized techniques in Minitab training. Adapt analysis of classical factorial and response surface designs for unique response variable attributes or data collection challenges. Learn to handle missing data, challenging factors, and external variables. Explore cost and variability reduction alongside optimizing key product/process aspects. Quantify factor impacts on critical events like defects. Navigate complex DOE situations for effective decision-making and optimal real-world outcomes. Contact us for Minitab Training : Click Here

Topics

Simplex Lattice and Centroid Designs  ||  Upper and Lower Constraints  ||  Pseudocomponents  ||  Extreme Vertices Designs  ||  Mixture-Process Variable Designs  ||  Mixture-Total Designs

 

Introduction to Reliability

Master addressing diverse scenarios in Design of Experiments (DOE) with specialized techniques in Minitab training. Adapt analysis of classical factorial and response surface designs for unique response variable attributes or data collection challenges. Learn to handle missing data, challenging factors, and external variables. Explore cost and variability reduction alongside optimizing key product/process aspects. Quantify factor impacts on critical events like defects. Navigate complex DOE situations for effective decision-making and optimal real-world outcomes. Contact us for Minitab Training : Click Here

Topics

Parametric Distribution Analysis (Right Censoring)  ||  Nonparametric Distribution Analysis (Right Censoring)  ||  Parametric Distribution Analysis (Arbitrary Censoring)  ||  Nonparametric Distribution Analysis (Arbitrary Censoring)  ||  Estimation and Demonstration Test Plans  ||  Parametric Growth Curves  ||  Non-Parametric Growth Curves  ||  Multiple Failure Modes  ||  Warranty Predictions  || Weibayes Analysis

 

Advanced Reliability

This Minitab training course explores how explanatory variables impact product viability duration. Learn to assess factors' influence on failures and failure risks across product populations. Derive reliability estimates for dependable products within feasible timeframes and predict expected failure times. Gain skills in determining sample sizes and stress level allocations for accelerated life tests, evaluating stress variable effects on failure likelihood. Emphasis is on using probability models to predict product lifetimes in controlled tests and real-world scenarios. Contact us for Minitab Training : Click Here

Topics

Compare reliability distributions  ||  Understand the concepts and uses of regression with life data  ||  Use accelerated life testing to determine the probability of product failure

 

Automating Analyses in Minitab

Master the art of streamlining your Minitab analyses and optimizing your efficiency through the utilization of macros! Uncover the prowess of crafting macros using Minitab's command syntax, enabling you to automate tasks such as swiftly importing data from databases, refining unwieldy Excel files, and executing statistical analyses, all while minimizing the need for manual intervention. As you progress through this interactive course in minitab training, you will cultivate the ability to develop and implement personalized macros, empowering you to seamlessly execute customized automation by its conclusion. Contact us for Minitab Training : Click Here

Topics

Command Line  ||  Automating Analyses through Execs  ||  Creating Macros  ||  Minitab Customization  ||  Control Statements

 

Fundamentals of Analytics

In this foundational Minitab training course, learn to streamline data analysis using Minitab. Covering data import, robust statistical strategies, impactful visualizations, and automation techniques, the curriculum saves time and enhances efficiency. Real-world datasets aid in aligning applications with suitable tools and interpreting results. Gain understanding of hypothesis testing, confidence intervals, and statistical principles for informed decision-making, applicable to business, manufacturing, and transactional processes. Contact us for Minitab Training : Click Here

Topics

Importing Data  ||  Types and Formats of Data in Minitab  ||  Exec Macros  ||  Bar Charts  ||  Histograms  ||  Boxplots  ||  Pareto Charts  ||  Scatterplots  ||  Measures of Location and Variation  ||  t-Tests  ||  Test for Equal Variance  ||  Power and Sample Size

 

Regression Modeling and Forecasting

Ready to build on the basic principles from the Fundamentals of Analytics? This Minitab training explores statistical modeling to uncover variable connections and data characteristics involving time. Learn to predict future patterns and measure input variable impact on significant events. Practical examples illustrate how modeling tools reveal crucial inputs and data variability origins, enhancing your understanding. Contact us for Minitab Training : Click Here

Topics

Scatterplots  ||  Correlation  ||  Simple Linear Regression  ||  Time Series Tools, including Exponential Smoothing  ||  Trend Analysis  ||  Decomposition  ||  Multiple and Stepwise Regression  ||  Binary Logistic Regression  ||  Regression with Validation

 

Machine Learning

This practical Minitab training course elevates data analysis skills by examining real-world scenarios. Explore variable relationships, employ supervised machine learning like CART for pattern analysis, aiding insight derivation, risk spotting, and enhancement identification. Gain unsupervised learning skills, utilizing Clustering to find data divisions, and dimensionality reduction techniques to condense data. Enhance predictive capabilities and understand data dynamics effectively. Contact us for Minitab Training : Click Here

Topics

Discriminant Analysis  ||  Test Set Validation  ||  K-fold Cross-Validation  ||  CART Classification  ||  Correlation  ||  CART Regression  ||  Cluster Analysis