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Udemy - Managing Statistical Process Control using Excel Tools



Udemy - Managing Statistical Process Control using Excel Tools
Created by Adam Aizad Ahmad | Published 6/2021
Duration: 1h47m | 6 sections | 20 lectures | Video: 1280x720, 44 KHz | 865 MB
Genre: eLearning | Language: English + Sub
How to become a professional data analyst in quality assurance


What you'll learn
Process Maps
Basic statistical analysis
Hypothesis testing
Statistical process charts
Requirements
ExcelQuality Control
Description
This course will provide hands on expertise to understand and undertake the following tasks using Excel. Both Powerpoint slides and excel data analysis are provided in this course. First we will understand the process maps, the purpose of analysis in process maps, and why yield calculations are crucial to understand where rework and scrap is being created. We will then review the basic statistical concepts and use Excel with samples to create histogram boxDescription, calculate average and standard deviation. We will understand the types of data. We will undertake the basic hypothesis tests such as T-Test using and Excel add-on for Data Analysis Tool Pak. We will also understand what are the types of process charts and how to create the charts inExcel using formulas or using templates. This course will make you a skilled quality personnel and also help you to manage any process in a better way.
*SPC Tools
*Process maps : *Flowchart
*Hidden factory
*Yield calculation - IPY and RTY
*Quality control basic concepts
*Purpose of data collection: *Compare a group with a target or *Compare a group with each other?
*Types of dаta: *Continuous data *Attribute data *Binary *Count
*Data analysis: *Center of distribution *Spread of distribution
*Types of distribution: *Normal distribution *Non-normal distribution
*Descriptive Data Analysis: *Normality *Mean, Median, Mode
*Histogram
*BoxDescription
*Statistical hypothesis tests
*T-Tests
*1-sample T-Test
*2-sample T-Test
*Statistical charts: *I-MR Chart *X-Bar Chart
Who this course is for:Engineers and production supervisors in ManufacturingQuality assurance personnel

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