Python for Six Sigma

In the era of Industry 4.0, all successful companies are transforming their production facilities into a ‘smart factory’. They are competing for real-time access to continuous flow of data from their production lines and from their customers. The rich data flow enables companies to serve customers with innovative products and services. If you, the individual employee, want to be an active contributor in this revolution, you will need to become a data scientist and a process improvement expert. As a Six Sigma practitioner, you are already equipped with skills needed to systematically solve a problem through the approach of “define, measure, analyze, improve, and control” (DMAIC). But there is more for you to learn. To become a good data scientist in the new era, you will need to develop some knowledge of machine learning techniques and learn at least one machine learning programming language. The goal of this book is to teach you how to use Python for data analytics in your Six Sigma projects. This is done by following Six Sigma’s DMAIC roadmap and by using many case studies in which mathematics are discussed prior to step-by-step instructions on Python coding. After you have read this book, you will become an expert with knowledge in using Python for your Six Sigma projects. You will have a critical new skill to prepare yourself for success in Industry 4.0.