Certified Quality Analyst With Minitab & Statistics

Minitab and statistics for process improvement , software metrics improvement , business statistics and decision making

What you'll learn

Master Minitab - Introduction and functionalities of Minitab ( Data Entry , Data Stacking , Split worksheet , Brushing etc..)

Basic statistics - Measure of central tendencies , Measure of spread , Measure of location - Descriptive statistics

Inferential statistics - Confidence level , Confidence interval , importance of p value , Hypothesis testing

Pareto Chart , Trend analysis , Run chart , Statistical process control - Control charts

Requirements

Nothing in specific , interest and dedication to learn a dedicated statistical analysis software and statistics

Description

This course will make you an expert  in using Minitab software to perform all statistical analysis required in your area of work or business or process. This is a "MUST BE" skill set  for all business analysts , quality analyst or  any other professional who deals with small data or big data. This skill set is  high in demand across across all the industries including banking , e retail , retail , ITES , IT , Manufacturing , Telecom , IT etc..  All statistical concepts are explained in depth with relevant examples from various industries for easy understanding and application of it in your area of work. This course is designed using all the experience gathered by the trainer from more than 6 industries over 20 years. Application of hypothesis testing covers examples from industries including  IT , ITES and Manufacturing sector.  This course covers all required details for you to use Minitab and also become a leader and guide your team in using the same. Minitab is also widely used in the area of Machine Learning and AI and can be easily integrated to SQL , python and R.  This is a Menu driven software , especially for people who are not interested in writing lines of codes to work on a predictive modelling project , Minitab will do the same job for you by applying a few clicks. Minitab will be an excellent also a good match for resources currently  working in or aspiring to work as business analyst or SQL expert. The stored data has to be interpreted and analyzed , knowing Minitab will always give you added  advantage and make you really smart in making business decisions using data and statistical analysis. Recently certified six sigma green belts and Black Belts too can benefit out of this course by strengthening their data analysis Minitab skills.

Overview

Section 1: Introduction

Lecture 1 Introduction to Minitab

Lecture 2 Menu summary of Minitab

Lecture 3 Basic data handling in Minitab

Lecture 4 Basic data handling in Minitab continued

Lecture 5 Basic data handling in Minitab continued

Section 2: Basic statistics with Minitab

Lecture 6 Introduction to basic statistics

Lecture 7 Impact of shape on Mean and Median

Lecture 8 Basic statistics continued

Lecture 9 Basic statistics continued

Lecture 10 Calculate basics statistics with Minitab

Lecture 11 Introduction to box plot

Lecture 12 Box plot continued - Excercise

Lecture 13 Introduction to Pareto chart

Lecture 14 Introduction to Time series

Lecture 15 Introduction to Dot plots

Lecture 16 Introduction to Run Charts

Section 3: Introduction to distribution (Shape)

Lecture 17 Introduction to distribution and how to identify the same

Lecture 18 Normal distribution

Lecture 19 Calculate PDF and CDF in Minitab for normal distribution

Lecture 20 Calculate PDF and CDF for non normal distributions

Lecture 21 Normality test using Minitab

Lecture 22 Box Cox transformation

Section 4: Measurement System analysis - MSA

Lecture 23 Introduction to MSA

Lecture 24 Gauge R&R for Discrete data

Lecture 25 Gauge R&R - Continuous data (for manual measurement ,gauge and gauge operators)

Section 5: Introduction to process capability

Lecture 26 Introduction Process capability and sigma score

Lecture 27 Process sigma - Z score for normal data

Lecture 28 Process capability for Normal data - Cp , Cpk , pp and Ppk

Lecture 29 Process capability for Non - Normal data - Z , Pp , PPk

Lecture 30 Process capability for discrete data

Section 6: Introduction to Hypothesis testing

Lecture 31 Introduction to Hypothesis testing

Lecture 32 Introduction to P value

Lecture 33 1 Sample t test

Lecture 34 2 Sample t test

Lecture 35 Paired t test

Lecture 36 Anova

Lecture 37 1 Proportion test

Lecture 38 2 Proportion test

Lecture 39 Chi Square test

Section 7: Non parametric hypothesis testing

Lecture 40 1 Sample sign test

Lecture 41 Mann-Whitney

Lecture 42 Moods Median

Lecture 43 Kruskal Wallis

Section 8: Introduction to regression

Lecture 44 Introduction to Simple linear regression

Lecture 45 Scatter plot, coefficients of correlation and determination

Lecture 46 Simple Linear regression in Minitab

Lecture 47 Key aspects of Multiple linear regression

Lecture 48 Multiple linear regression in Minitab

Section 9: Introduction to statistical process control - Control Charts

Lecture 49 Introduction to statistical process control - Control charts

Lecture 50 Control charts for continuous data

Lecture 51 Control charts for Attribute data

Beginners , Freshers , candidates looking for career in data analysis as analysts , data analysis without coding , middle managers , leaders, and entrepreneurs