MINITAB
Predict, Visualize, analyze and harness the power of your data to solve your toughest challenges and eliminate mistakes before they happen. MINITAB is a Statistical software that helps in analyzing the data. Software is designed explicitly for the needs of Six Sigma experts. It offers a simple, effective way to input data, identify trends, patterns, and then infer the problem.
Why The Learnify academy
The Minitab Training @ The Learnify academy:
1) Emphases on learning, understanding, and implementation of concepts rather than just gaining theoretical knowledge
2) Small batch size and Interactive classes
3) Facilitation by an expert who is certified Master Black Belt and having experience of over 18 years
4) 6+ hours of Instructor-led interactive virtual classroom session on the weekend/weekday
5) 6 Months post-training completion support i.e Revision classed once a month
6) Support via subject expert through telephonic discussion on the weekend
7) Data visualization learning using MINITAB
8) Course Curriculum - MINITAB
Course Content
| Course Curriculum - Minitab | ||
| # Introduction to statistical Software Minitab | # Testing of Hypothesis: | |
| # How to start Minitab | # Regression | |
| # Main Screen | # Correction | |
| # Data Window | # Parametric Test ( Mean Test ) | |
| # Entering & Importing Data | # 1 Sample T-Test | |
| # Stack & Unstack Data | # 2 Sample T-Test | |
| # Worksheet Files Vs. Project Files | # 1 Way Anova Test | |
| # Non Parametric Test ( Median Test ) | ||
| # Measure phase tools: | # 1 Sample Sign Test | |
| # Measurement System Analysis: | # Mann Whitney Test | |
| # Attribute Agreement Analysis | # Moods Median Test | |
| # Gage R & R | # Variation Test | |
| # Test for Stability | # Multiple Comparison Test | |
| # Test for Normality | # Levene's Test | |
| # Binary Logistic Regression | ||
| # Analyze phase tools: | # Chi-Square Test | |
| # Basic QC tools: | ||
| # Pareto | # Statistical Control charts | |
| # Scatter plot | # Continuous Data Charts | |
| # Histogram | # I-MR chart | |
| # Cause & Effect Diagram | # Xbar-R | |
| # Control Chart | # Xbar-S charts | |
| Graphical analysis | # Discrete Data Charts | |
| # NP | ||
| # P | ||
| # C | ||
| # U | ||
