[MUSIC] Understanding how to interpret and use data is an important skill. A skill that is becoming more and more useful these days, as the amount of available data is increasing. Lean Six Sigma is a methodology for process improvement and it makes use of data and data analysis. Questions that can be analyzed within a Lean Six Sigma project are. What is the most important issue that an organization should focus on? How to quantify a certain phenomenon? Are the employees of influence on the time it takes to handle a job? Which department shows the best performance such as the fastest, the most consistent, or the highest quality? How to decrease the number of defects? Is there a real difference in quality before and after my project? Have you ever asked these kinds of questions? Then this is the course for you. In the upcoming videos, you will learn to answer these type of questions using data analytics for Lean Six Sigma. In this course, we will explore how we can use data to analyze and solve problems. I will have a strong focus on practice and application, so you will not be learning any formulas and I will not teach you any abstract math. What you will be learning is how to analyze data, how to interpret data and how to use data for solving problems. My name is Inez Zwetsloot. I teach Lean Six Sigma and data analysis at the University of Amsterdam. Furthermore, I advise many Lean Six Sigma project leaders to effectively run their improvement projects in which data analytics is very important. In the first module, entitled Data and Lean Six Sigma, we will talk about why we use data in Lean Six Sigma projects and how to organize data. I will introduce you to Minitab, the statistical software package that we will be using. Next, in the module on understanding and visualizing data, I will show you how to visualize data using graphs, how to interpret these graphs and furthermore, you will need to be able to summarize your data. In the module on using probability distributions, I will teach you how to quantify uncertainty and you will learn to answer a very important business question. What percentage of product or cases meets our specifications? In the introduction module on testing, you will learn to formulate statements that can be verified using data. After that you are ready for three modules on statistical testing, in which you will learn how to establish relationships between two variables. This series of videos is about how to use data analysis for practical problems. Throughout the videos, I will have a strong focus on the application of data within the Lean Six Sigma framework. It is, however, not limited to that. The use of data analysis tools has, in fact, a much broader application area. Data analysis can be useful in other areas where you encounter data. I hope at least that this course is a useful first step for you into the world of data analytics. I am definitely looking forward to working on data analytics for Lean Six Sigma with you.