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    Minitab: Complete Minitab Course for Minitab Mastery

    Posted By: Sigha
    Minitab: Complete Minitab Course for Minitab Mastery

    Minitab: Complete Minitab Course for Minitab Mastery
    Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 2.73 GB
    Genre: eLearning Video | Duration: 88 lectures (6 hour, 5 mins) | Language: English

    Minitab: Best Minitab course to Master Minitab Software with Theory, Examples and Case Studies | Master Minitab Software

    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.


    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.

    Minitab: Complete Minitab Course for Minitab Mastery


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