{"id":6919,"date":"2021-05-09T16:57:45","date_gmt":"2021-05-09T16:57:45","guid":{"rendered":"https:\/\/trkcreativegroup.com\/?page_id=6919"},"modified":"2024-11-19T10:52:49","modified_gmt":"2024-11-19T10:52:49","slug":"minitab-training","status":"publish","type":"page","link":"https:\/\/maamcs.com\/index.php\/minitab-training\/","title":{"rendered":"Minitab Training"},"content":{"rendered":"\t\t
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Minitab Training<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Minitab helps companies and institutions to spot trends, solve problems and discover valuable insights in data by delivering a comprehensive and best-in-class suite of machine learning, statistical analysis and process improvement tools. Combined with unparalleled ease-of-use, Minitab makes it simpler than ever to get deep insights from data. Minitab is a powerful statistical software for Six Sigma implementation. Minitab is the most recommended statistical software by Six Sigma practitioners across the world. For more than 35 years, thousands of distinguished organizations in nearly 90 countries have turned to Minitab for tools that help quality initiatives yield bottom-line benefits.<\/p>\n

The Minitab training program helps to teach how to apply Minitab\u2019s powerful software to Six Sigma projects.<\/p>\n

Table of Content<\/h2>\n
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  1. Introduction<\/li>\n
  2. Descriptive Statistics<\/li>\n
  3. Histogram<\/li>\n
  4. Pie Chart<\/li>\n
  5. Dot Plot<\/li>\n
  6. Bar Chart<\/li>\n
  7. Box Plot<\/li>\n
  8. Pareto<\/li>\n
  9. Run Chart<\/li>\n
  10. Time Series Plot<\/li>\n
  11. Control Chart Individual<\/li>\n
  12. Graphical Summary<\/li>\n
  13. Normality Test<\/li>\n
  14. X Bar R Chart<\/li>\n
  15. P Chart<\/li>\n
  16. C Chart<\/li>\n
  17. NP Chart<\/li>\n
  18. U Chart<\/li>\n
  19. 1 Sample t test<\/li>\n
  20. 2 Sample t Test<\/li>\n
  21. 1 Way Anova<\/li>\n
  22. Scatter Chart<\/li>\n
  23. Correlation<\/li>\n
  24. Regression<\/li>\n
  25. Gage R and R<\/li>\n<\/ol>\n

    \u00a0<\/strong><\/p>\n

    About\u00a0Minitab Training Course<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n
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    Course<\/strong><\/p>\n<\/td>\n

    		\u00a0<\/td>\n\n

    No. of Hours<\/strong><\/p>\n<\/td>\n<\/tr>\n

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    Statistical Analysis using Minitab – Beginners to Beyond<\/p>\n<\/td>\n

    		\u00a0<\/td>\n\n

    4h 29m<\/p>\n<\/td>\n<\/tr>\n

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    Project – Data Analytics using Minitab<\/p>\n<\/td>\n

    		\u00a0<\/td>\n\n

    4h 42m<\/p>\n<\/td>\n<\/tr>\n

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    Minitab GUI and Descriptive Statistics<\/p>\n<\/td>\n

    		\u00a0<\/td>\n\n

    2h 48m<\/p>\n<\/td>\n<\/tr>\n

    \n

    ANOVA in Minitab<\/p>\n<\/td>\n

    		\u00a0<\/td>\n\n

    53m<\/p>\n<\/td>\n<\/tr>\n

    \n

    Correlation Techniques in Minitab<\/p>\n<\/td>\n

    		\u00a0<\/td>\n\n

    2h 21m<\/p>\n<\/td>\n<\/tr>\n

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    Project on Minitab – Regression Modeling<\/p>\n<\/td>\n

    		\u00a0<\/td>\n\n

    9h 54m<\/p>\n<\/td>\n<\/tr>\n

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    Minitab Predictive Modeling using Excel<\/p>\n<\/td>\n

    		\u00a0<\/td>\n\n

    56m<\/p>\n<\/td>\n<\/tr>\n

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    Project on Minitab – Testing of Hypothesis using Minitab<\/p>\n<\/td>\n

    		\u00a0<\/td>\n\n

    57m<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

    Minitab Training Minitab helps companies and institutions to spot trends, solve problems and discover valuable insights in data by delivering a comprehensive and best-in-class suite of machine learning, statistical analysis and process improvement tools. Combined with unparalleled ease-of-use, Minitab makes it simpler than ever to get deep insights from data. Minitab is a powerful statistical<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-6919","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/maamcs.com\/index.php\/wp-json\/wp\/v2\/pages\/6919","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/maamcs.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/maamcs.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/maamcs.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/maamcs.com\/index.php\/wp-json\/wp\/v2\/comments?post=6919"}],"version-history":[{"count":13,"href":"https:\/\/maamcs.com\/index.php\/wp-json\/wp\/v2\/pages\/6919\/revisions"}],"predecessor-version":[{"id":7738,"href":"https:\/\/maamcs.com\/index.php\/wp-json\/wp\/v2\/pages\/6919\/revisions\/7738"}],"wp:attachment":[{"href":"https:\/\/maamcs.com\/index.php\/wp-json\/wp\/v2\/media?parent=6919"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}