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Six Sigma In The Era Of Ai & Bi
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.20 GB | Duration: 3h 38m
Is Six Sigma Relevant In This Day & Age of Machine Learning, Industry 4.0 and Business Intelligence
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.20 GB | Duration: 3h 38m
Is Six Sigma Relevant In This Day & Age of Machine Learning, Industry 4.0 and Business Intelligence
What you'll learn
Industry 4.0
Disruptive Technologies Driving Digital Transformation
Four Types Of Analysis
Power BI
How To Structure Six Sigma In This Changing Times
Requirements
Knowledge of Six Sigma Would Be Advantageous
Experience Driving Transformation or Managing Quality Would Be Advantageous
Description
Welcome to the course on the "Relevance of Six Sigma in this era of machine learning and business intelligence." In today's rapidly changing business landscape, organizations must strive for continuous improvement and efficiency in order to stay competitive. This course will explore how Six Sigma, a data-driven methodology for process improvement and business transformation, fits into the modern era of machine learning and business intelligence.While Six Sigma has been a staple of process improvement for decades, the emergence of advanced technologies like machine learning and business intelligence has led some to question its relevance. However, Six Sigma remains a powerful tool for process improvement, and when used in conjunction with machine learning and business intelligence, it can be even more effective.Throughout this course, we will delve into the basics of Six Sigma and explore how it can be used in conjunction with machine learning, business intelligence and other technologies to optimize processes and drive transformation. We will also examine case studies of organizations that have successfully integrated Six Sigma with these technologies and the benefits they have reaped as a result.Whether you are a business professional looking to improve your organization's processes or a data scientist seeking to enhance your understanding of Six Sigma, this course will provide you with the knowledge and skills necessary to succeed in this era of machine learning and business intelligence.Power BI, the no.1 business intelligence tool, is also covered extensively in this course.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Setting The Context
Lecture 2 Setting The Context
Lecture 3 Four Types Of Analytics
Section 3: Understand the changing landscape
Lecture 4 The AI Revolution
Lecture 5 The Big Data Revolution
Lecture 6 The Cloud Revolution
Lecture 7 The IoT Revolution
Lecture 8 Industrial Automation
Lecture 9 Process Automation
Lecture 10 Business Intelligence Ladscape
Section 4: Putting It All Together
Lecture 11 Putting It All Together
Section 5: Learn Power BI
Lecture 12 Power BI Download
Lecture 13 Introducing The Power BI Tool
Lecture 14 Loading The Data
Lecture 15 Data Transformation
Lecture 16 Text Box
Lecture 17 Card Visual
Lecture 18 Stacked Column Chart
Lecture 19 Multi Row Card
Lecture 20 Tree Map
Lecture 21 Dual Axis Chart
Lecture 22 Ribbon Chart
Lecture 23 Slicer
Lecture 24 Funnel Chart
Lecture 25 DAX
Lecture 26 Publishing The Report
Section 6: Learn Six Sigma Concepts
Lecture 27 Understanding Six Sigma
Lecture 28 Understanding Variation
Lecture 29 The Sigma in Six Sigma
Lecture 30 Measure It Right
Lecture 31 Project Selection, Six Sigma Structure and Project Charter
Lecture 32 Analyze
Lecture 33 Improve
Lecture 34 Control
Quality Professionals,Six Sigma Green or Black Belts,Transformation Experts,CxO's
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