Minitab: Complete Minitab Course Minitab Mastery | Minitab
4.6 (896 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
10,692 students enrolled

Minitab: Complete Minitab Course Minitab Mastery | Minitab

Minitab: Best Minitab course to Master Minitab Software with Theory, Examples and Case Studies | Master Minitab Software
Bestseller
4.6 (896 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
10,692 students enrolled
Created by Magine Solutions
Last updated 7/2020
English
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Current price: $93.99 Original price: $134.99 Discount: 30% off
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This course includes
  • 6 hours on-demand video
  • 3 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Types of Data (Attribute, Variable, Count etc.)
  • How to plot different types of charts in Minitab (Bar Chart, Pareto, Pie Diagrams, Histograms, Dot Plot, Individual Value Plot, Time series plot etc.) Box Plot
  • Descriptive Statistics in Minitab (Mean, Median, Range, Standard Deviation and Variance)
  • Inferential Statistics (1 sample t test, 2 sample t test, paired t test, 2 variance, 1 proportion test, 2 proportion test and chi-square test)
  • Central Limit Theorem
  • Normal Distribution and Normal Distribution Probability
  • Type I and Type II errors
  • Statistical Process Control Charts (X bar, R, S, I, MR, C, U, P, NP charts)
  • Six Sigma
  • Minitab 19
  • Minitab 17
  • Minitab Six Sigma
  • Lean Six Sigma
  • Course Completion Certificate
  • Process Capability
  • Cp Cpk Pp Ppk Sigma Level
  • Design of Experiments
  • Capability Analysis: Cp, Cpk, Pp, Ppk, Sigma Level
  • One Way ANOVA
  • Two Way ANOVA
  • Blocking and CenterPoints in DOE
  • Measurement System Analysis
  • Accuracy and Precision Errors
  • Bias Linearity and Stability
  • Gage Repeatability and Reproducibility
  • Correlation and Regression
  • Capability analysis for Non-normal data
  • Box Cox Transformation
  • Johnson Transformation
Requirements
  • Minitab Software which you can download from the official website from Minitab, where you can get 30 days free trail
  • Open-mindedness and willingness to learn
Description

In Section 1 we have introduction where we will look at Agenda of course.


Next In section 2 we have graphical Analysis where we will look at different types of data types, different types of graphs with both theoretical concepts and how to plot those graphs using a hypothetical data sets.


Next in In Section 3 we will look at descriptive statistics. In this section we will look at what is mean, median, range, variance and standard deviation with formulas, once theoretical concepts are understood then we will look at how to calculate descriptive statistics in Minitab.


Next in section 4, we will look at inferential statistics. In this section we will look at concepts like inferential statistics, what is meant by random sampling, sampling distribution, central limit theorem and t-distribution introduction concepts.


Next in section 5, we will look at hypothesis testing, in this section we will look at concepts like confidence intervals, hypothesis testing, null hypothesis, alternate hypothesis, type I and type II errors and we will look at hypothesis tests like, 1 sample t-test, 2 sample t-test, 2 variance test, paired t test, 1 proportion test, 2 proportion test, chi-square test etc.


Next in section 6, we will look at statistical process control charts. In this section we will look at horizontal lines in control charts like mean, upper control limit, lower control limit, and we will look at the pre-requisites for a process to be a stable process.


In Section 7 we have introduction where we will look at Agenda of course.


Next In section 8 and section 9 we have Process Capability where we will look at process capability indices like cp, cpk, pp, ppk, sigma level and parts per million for both normal data and non-normal data both theory and case studies using minitab.


Next in In Section 10 one way and two way ANOVA concepts using hypothesis tests using F and P values both theory and case studies using Minitab.


Similarly in section 11 we will talk about correlation and regression concepts with theory and examples using Minitab.


In section 12 we will discuss about measurement system analysis and how gage r and r studies are conducted in Minitab using theory and examples.


Finally in section 13 we will talk about design of experiments including blocking and ceterpoints concepts using Minitab and examples.

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Who this course is for:
  • The ideal student for this course is anyone who wants to learn and understand data analysis using Minitab or a professional who wants to expand on their current skills. There are no requirements necessary to enroll. I only ask to come open-minded and ready to learn.
Course content
Expand all 88 lectures 06:05:07
+ Graphical Analysis
17 lectures 39:32
Quiz
1 question
Bar Chart Theory
01:58
Bar Chart Minitab
02:24
Quiz
1 question
Pareto Chart Theory
02:10
Pareto Chart Minitab
01:00
Pie Chart Theory
01:58
Pie Chart Minitab
02:22
Quiz
2 questions
Histogram Theory
04:10
Histogram Minitab
01:46
Dot Plot Theory
02:28
Dot Plot Minitab
01:40
Quiz
1 question
Individual Value Plot Theory
01:56
Individual Value Plot Minitab
02:12
Box Plot Theory
02:42
Box Plot Minitab
02:10
Quiz
1 question
Time Series Plot Theory
03:03
Time Series Plot Minitab
01:59
+ Descriptive Statistics
3 lectures 11:27
Mean and Median
05:04
Range, Variance and Standard Deviation
04:56
Descriptive Statistics in Minitab
01:27
Quiz
1 question
+ Inferential Statistics
8 lectures 26:41
Inferential Statistics Introduction
05:20
Random Sampling
03:00
Random Sampling Minitab
01:19
Sampling Distribution
03:25
Central Limit Theorem
03:56
Quiz
1 question
Normal Distribution and Facts
04:46
Normal Distribution Probability in Minitab
01:53
t-Distribution
03:02
+ Hypothesis Testing
16 lectures 54:55
Quiz
1 question
Hypothesis Testing
04:17
Quiz
1 question
1-sample t-test
04:34
1-sample t-test Minitab
01:55
Quiz
1 question
Quiz
1 question
Quiz
1 question
2 Sample t-test
04:34
2 Sample t-test Minitab
02:13
2 Variance test
04:55
2 Variance test Minitab
02:12
Quiz
1 question
Paired t-test
05:33
Quiz
1 question
1 Proportion test
04:46
1-Proportion test Minitab
01:38
Quiz
1 question
2-Proportion test
01:46
2-Proportion test Minitab
01:46
Quiz
1 question
Chi-Square Test
05:59
Chi-Square Test Minitab
01:31
Quiz
1 question
+ Statistical Process Control: Control Charts
9 lectures 45:59
Statistical Process Control Introduction
09:09
R S and X Bar Chart
10:00
R S and X Bar Chart Minitab
03:14
Quiz
1 question
I and MR Charts
06:48
I and MR Charts Minitab
01:03
Quiz
1 question
P and NP Charts
05:28
P and NP Charts Minitab
01:56
Quiz
1 question
C and U Charts
06:53
C and U Charts Minitab
01:28
Quiz
1 question
+ Process Capability for Normal Data
6 lectures 18:14
Quiz
1 question
Process Capability Indices: Cp and Cpk
05:13
Process Performance Indices: Pp and Ppk
03:38
Cp Cpk Pp Ppk in Minitab
01:01
Quiz
1 question
Process Capability Index: Sigma Level
01:10
Sigma Level in Minitab
01:10
Quiz
1 question
+ Process Capability for Non-Normal Data
7 lectures 23:02
Process Capability for Non-Normal Data Introduction
05:13
Quiz
1 question
Box-Cox Transformation
06:06
Box-Cox Minitab
01:42
Quiz
1 question
Johnson Transformation
03:37
Johnson Transformation Minitab
01:39
Quiz
1 question
Alternative Distributions
03:19
Alternate Distributions Minitab
01:26
+ One Way and Two Way ANOVA
4 lectures 29:30
One Way ANOVA
13:37
One way ANOVA Minitab
02:00
Quiz
1 question
Two Way ANOVA
11:55
Two Way ANOVA Minitab
01:58
Quiz
1 question
+ Correlation and Regression
4 lectures 21:16
Correlation
06:41
Correlation Minitab
01:27
Quiz
1 question
Regression
11:29
Regression Minitab
01:39
Quiz
1 question