Last Updated : 25 Aug 2023

Minitab Essentials Course Overview

The Minitab Essentials course is designed to provide learners with comprehensive online training in utilizing Minitab, a statistical software package. This course equips participants with the foundational skills necessary to perform Data analysis and solve business problems effectively. Through Minitab training, learners can understand how to import and format data, create various charts such as Bar charts, Histograms, and Boxplots, and use statistical tools like Pareto charts and Scatterplots.

Each module focuses on a specific topic, starting from basics like Data handling to more complex analyses including T-tests, Proportion tests, and ANOVA. The course also delves into understanding relationships between variables using Scatterplots, Correlation, and Regression analysis, ensuring that participants can make data-driven decisions.

By mastering these skills, learners will be prepared to contribute to quality improvement initiatives and business analytics projects. Minitab online training is essential for professionals seeking to enhance their proficiency in statistical analysis and data interpretation through practical, hands-on experience with Minitab training.

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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

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Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

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Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

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1-on-1 Training

Schedule personalized sessions based upon your availability.

Learn More

Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

Learn More

Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

Learn More

Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

Learn More

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

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Target Audience for Minitab Essentials

The Minitab Essentials course is designed for professionals seeking to master statistical analysis and process improvement using Minitab software.
Target audience for the Minitab Essentials course:

Quality Assurance Engineers
Data Analysts
Process Improvement Specialists
Six Sigma Green and Black Belts
Research Scientists
Production Managers
Business Analysts
Statisticians
Manufacturing Engineers
Product Development Professionals
Quality Control Technicians
Lean Practitioners
Operations Analysts
Project Managers involved in data-driven decision-making
Supply Chain Analysts
Academic Researchers and Graduate Students in statistics or related fields

Learning Objectives - What you will Learn in this Minitab Essentials?

Introduction to Course Learning Outcomes and Concepts

The Minitab Essentials course equips learners with foundational skills in statistical analysis and data interpretation using Minitab software, covering data visualization, inferential statistics, and hypothesis testing.

Learning Objectives and Outcomes

Understand how to import and format datasets effectively within Minitab for accurate analysis.
Create and interpret Bar Charts to visualize categorical data and identify patterns.
Generate Histograms to analyze and display the distribution of continuous data sets.
Utilize Boxplots for comparing distributions and identifying outliers in data sets.
Construct and interpret Pareto Charts to prioritize problem areas or identify the most significant factors in a dataset.
Create Scatterplots to examine relationships between two continuous variables and identify potential correlations.
Perform and interpret Chi-Square Analysis to test relationships between categorical variables using contingency tables.
Calculate and understand Measures of Location (mean, median, mode) and Variation (range, variance, standard deviation) in data sets.
Conduct and interpret t-Tests to compare means and assess statistical significance in the differences observed.
Execute Proportion Tests to analyze categorical data and compare sample proportions to a hypothesized value.
Test for Equal Variance to verify assumptions for parametric tests or to compare the variability between groups.
Determine Power and Sample Size to design experiments with adequate power to detect meaningful effects.
Evaluate Correlation coefficients to measure the strength and direction of linear relationships between variables.
Apply Simple Linear and Multiple Regression techniques to model relationships between variables and make predictions.
Perform One-Way ANOVA to test for significant differences between means across multiple groups.
Conduct Multi-Variable ANOVA to understand the effects of two or more categorical independent variables on a continuous dependent variable.