Minitab Training
4.3 (2 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
634 students enrolled
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Minitab Training

This course is well suited for instructional applications
4.3 (2 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
634 students enrolled
Created by GreyCampus Inc.
Last updated 5/2017
English
Current price: $10 Original price: $50 Discount: 80% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 1.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • After attending this course, participants will be able to demonstrate a basic knowledge of Six Sigma tools and techniques
View Curriculum
Requirements
  • No particular requirements in terms of educational background, work experience or other stuff like access to specific software’s etc.
Description

Minitab is a general-purpose statistical software package designed for easy interactive use. It was originally developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in 1972. Minitab is well suited for instructional applications, but is also powerful enough to be used as a primary tool for analyzing research data. Minitab is commonly used in Six Sigma, particularly in the Measure and Analyse phases of DMAIC. Minitab provides a quick, effective solution for the level of analysis required in most Six Sigma projects.

Minitab is used for; a) Data and File Management “spreadsheet for better data analysis”, b) Regression Analysis, c) Power and Sample Size, d) Tables and Graphs, e) Multivariate Analysis “includes factor analysis”, f) cluster analysis, g) correspondence analysis, h) Non para-metrics “various tests including sign test”, i) runs test, j) Friedman test, k) Time Series and Forecasting “tools that help show trends in data as well as predicting future values”, l)  Time series plots, m) exponential smoothing, n) trend analysis, o) Statistical Process Control, p) Measurement System Analysis, q) Analysis of Variance “to determine the difference between data points”.

Who is the target audience?
  • Anyone with a keen interest in learning about Six Sigma
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Curriculum For This Course
33 Lectures
01:22:01
+
Section 1
33 Lectures 01:22:01





Variance Test
02:16

ANOVA GRR Method
08:11

ANOVA
01:38

Box Plot
02:03

c Chart
01:32

Chi Square Test
01:39

Correlation Analysis
01:35

Descriptive Statistics
01:57

Design of Experiment using Case study
04:41

Design of Experiment : Analyzing factorial design
04:24

Histograms
03:19

I-MR Chart
01:23

Mood's Median Test
01:29

Normality Test
02:28

np Chart
01:30

p Chart
01:29

Paired t-test
02:07

Pareto Chart
02:19

Process Capability_Non Normal
03:20

Process Capability_Normal
02:38

Regression Analysis
02:26

Run Chart
03:53

Scatter Plot
02:17

Stem and Leaf Plot
02:51

Test of Equal Variances
01:53

u Chart
01:52

X-bar R Chart
01:59

X-bar S Chart
01:28
About the Instructor
GreyCampus Inc.
4.0 Average rating
2,082 Reviews
26,027 Students
53 Courses
Professional Certification and Competitive Exam Trainings

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