Is Six Sigma Relevant In This Day & Age of Machine Learning, Industry 4.0 and Business Intelligence
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.
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.
Course Content
- Introduction –> 1 lecture • 1min.
- Setting The Context –> 2 lectures • 15min.
- Understand the changing landscape –> 7 lectures • 46min.
- Putting It All Together –> 2 lectures • 14min.
- Learn Power BI –> 17 lectures • 1hr 24min.
- Learn Six Sigma Concepts –> 8 lectures • 1hr 22min.
Requirements
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.