Available courses

About this course

This module describes how to download and install the Sigma Magic software. If you have not already installed the software on your computer, you would start here.

Pre-requisites

You will need a Windows PC with Microsoft Excel 2010 or higher in order to install the Sigma Magic software. If you have a Mac then you should be able to run the Windows OS using software such as Parallels Desktop.

Expected Time

This course is expected to take roughly 15 minutes to complete.

About this course

This course has been designed to get you started with using the Sigma Magic software. It covers a high-level overview of how to install the software, how to prepare data for analysis, and how to perform some basic analysis using Sigma Magic software.

Pre-requisites

You will need a Windows PC with Microsoft Excel 2010 or higher in order to install the Sigma Magic software. If you have a Mac then you should be able to run the Windows OS using software such as Parallels Desktop.

Expected Time

This course is expected to take roughly 90 minutes to complete.

About this course

This module provides a more detailed overview of how the software is organized, how to enter data into the software, and how to perform analysis using the Sigma Magic software.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises. It is also a good idea to have gone through the Getting Started course before going through this course.

Estimated Time

It will take approximately 3 hours to complete this course.

About this course

In this module, we will cover how to select the right charts for a given data set using Sigma Magic software.

Whenever you are working with data, you should always plot the data to see what the data is trying to tell us. There are different types of graphs one could use, and you need to pick the right graph depending on the type of data you are working with and what your objectives are. 

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will go over Bar Charts. A bar chart or bar graph is a chart that uses either horizontal or vertical bars to show comparisons among categories. One axis of the chart shows the specific categories being compared, and the other axis represents a discrete value.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Box Plots. Box plots are a graphical representation of data that helps the users quickly gather summary information of the data - for example, get an idea of the minimum value, maximum values, and the central location of the data (median). We would typically use a Box Plot for continuous data and usually to compare multiple groups.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Contour and Surface Plots. If we have a single variable function, such as Y = f(X) then we can use an XY plot to understand the variation between X and  Y. However, if we have a function of two variables such as Z = f(X, Y), we can use a contour or surface plot to understand the relationship between X, Y, and Z. 

Typically, for contour plots, X, Y, and Z are continuous variables. Contour plots can be used to visually understand what values of X and Y result in a given value of Z or to minimize or maximize the Z values for optimization problems.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover an overview of Dot Plots. Dot plots are typically used when you have continuous data and the number of data points is less than 50. They can be used to compare different groups of data to see if there are any differences between groups.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Histograms. A histogram is a frequency distribution that shows how often different values in a set of data occur. A histogram is the most commonly used to identify if the data follows a specific distribution (such as a normal distribution).

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.


About this course

In this module, we will cover Individual Value Plots. An individual value plot is a graphical way of showing a dot for the actual value of each observation in a group, making it easy to spot outliers and see the distribution spread.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Interval Plots. An interval plot is used to compare groups similar to a box plot or a dot plot. It is used when the data is continuous. Instead of plotting the individual data point, an interval plot shows the confidence interval for the mean of the data. Typically, a 95% confidence interval is used but any other confidence level can be specified as well. 

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Matrix Plots. A matrix plot is a graphical representation of the relationships between several pairs of variables at the same time. It can be used to visually identify which group of variables are correlated with one another.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Multi-Vari Charts. A multi-vari chart is a graphical chart that visually shows where the major variation in the data set is coming from. It is called a multi-vari chart because usually multiple variables are plotted on the same chart. Variations in data can come from multiple sources. On a multi-vari chart, the source of variation is typically represented as variation within a part/product, variation in the short term, and variation in the long term. 

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Pareto Charts. A Pareto chart is a graphical technique to help identify the vital few factors from the trivial many. It helps the team to focus on the most important factors which have the biggest impact on the primary metric first. When you have limited resources, a Pareto chart helps you focus your efforts to get the most bang for the buck.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Pie Charts. A pie chart graphical representation of categorical data on a circle that is divided into segments to represent the proportion of observations that are in each category.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Probability Plots. The probability plot is a graphical method of determining if the data follows a given distribution. The given data is plotted on a probability plot, a Q-Q plot, or a P-P plot to determine if the data follows a given distribution. For example, if the Q-Q plot shows that the data follows a 45-degree line, we can conclude that the data follows that distribution. 

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Run Charts. A run chart is a graphical and analytical tool that can be used to determine if the data points collected from a process are random or if any patterns exist in the collected data (such as trends, oscillations, mixtures, or clusters).

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Scatter Plots. A scatter plot is used to visually determine if there is any relationship between two variables (say X and Y). This plot is usually used between two continuous variables. However, a scatter plot can also be drawn if the variables are not truly continuous – for example, the variable may be discrete ordinal data but more than 2 categories. A scatter plot is a visual way of looking for relationships and thus may be subjective. If a more objective way of establishing a relationship is required then we can use some statistical tool like Regression analysis.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Time Series Plots. A time series plot is a graph that displays data collected in a time sequence from any process. The chart can be used to determine how the data is trending over time and if the data points are random or exhibit any pattern. For example, you may want to determine whether the number of calls received in a call center is consistent month over month or if there is any specific pattern in the data – such as a decreasing trend, or an increasing trend. You can also use a times series plot to determine if a process is stable by visually looking for clues about stability.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover Waterfall Chart. A waterfall chart shows a running total as values are added or subtracted. It's useful for understanding how an initial value changes over time.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover an overview of how to use the Basic Stats module within Sigma Magic software. Basic Statistics is used to describe any data that you collect. It helps your transform your data into information. For example, it helps answer the question where is your data located? How much variation do we have in our data?

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover an overview of process capability indices such as DPMO, Sigma Level, and Process Capability Index for both continuous and attribute data and show how to compute these indices using Sigma Magic software. Process capability indices are used to quantify the performance of the process to determine if the process is capable of meeting customer requirements.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover a brief overview of hypothesis testing and the various statistical tests to compare one or more sets of data for both continuous and attribute primary metrics.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover a brief overview of control charts using Sigma Magic software. Control charts are used to determine if a process is in statistical process control - which determines if a process is only affected by common or natural causes or if there are any special causes.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this module, we will cover how to perform correlation analysis between variables. The objective of correlation analysis is to determine if the input variables are correlated with each other. We say that variables are correlated if an increase in the value of one variable correlates to an increase (or decrease) in the value of the other variable.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

The normal distribution also known as the Gaussian distribution or the bell curve is a very common distribution and the data collected from a number of processes follow this distribution. Knowing that a distribution is normal can help us make useful predictions about the process. Graphically, we can use the histogram to determine if the data is normally distributed however, this could be subjective. In this module, we will look at how we can use some statistical tests to determine normality.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

The normal distribution also known as the Gaussian distribution or the bell curve is a very common distribution and the data collected from a number of processes follow this distribution. Knowing that a distribution is normal can help us make useful predictions about the process. Graphically, we can use the histogram to determine if the data is normally distributed however, this could be subjective. In this module, we will look at how we can use some statistical tests to determine normality.

Pre-requisites

There are no pre-requisites for taking this course but if you have not yet installed the software, you may want to do that first so that you can follow along and complete the exercises.

Estimated Time

It will take approximately 60 minutes to complete this course.

About this course

In this course, we will cover a high-level overview of what is Lean all about. We will introduce basic Lean concepts both through presentation slides and through a simulation exercise. We will cover the Lean concepts so that you can comfortably explain to others the basic concepts of Lean. In order to get a certification from this course, you will need to complete all the presentations in this module, pass the quiz with at least an 80% score, and complete one Kaizen improvement which you will need to submit for review. On successful completion of these requirements, you will be awarded a course completion certificate.

Pre-requisites

There are no pre-requisites for this course.

Estimated Time

This course is expected to take roughly 180 minutes to complete.

About this course

The objective of the catapult is to launch a projectile that can hit the enemy located at a specific distance - hence the primary metric for this device is to achieve a given distance with minimum variation. A scale-model catapult has become a useful tool for simulating process variation and the impact of process variables on process output. There are 8 variables you can control on the catapult plus 2 operator settings to influence the outcome. The output from this exercise is the distance of the point of impact of the ball from the front of the catapult. Some of the 10 variables may have little or no impact, some variables may have a medium impact and some may have a large impact on the distance achieved.

This simulation can be used as either an individual or a team exercise to learn the various statistical concepts covered in a typical Lean Six Sigma training class. You can use the catapult to collect data and analyze the data to understand concepts such as measurement systems analysis, capability analysis, control charts, hypothesis testing, correlation, regression, design of experiments, Taguchi robust design, and a lot more.

Pre-requisites

There are no specific pre-requisites for this course.

Estimated Time

The duration of this activity depends on the amount of data you need to collect and the type of analysis you are going to perform and hence can range from 30 minutes to 2 days.


About this course

Modern pharmaceutical and biotechnology products require efficient and flexible methods to fill sterile injectables in vials, syringes, and cartridges. The equipment must be flexible to handle vials in various capacities. The liquid vial filler machine fills liquid into the vial and then adds a rubber stopper. The vial filler machine receives sterile vials through a conveyor belt. Special sensors are mounted to ensure that no vial, no filling condition is achieved. The filling process is achieved through the syringes and nozzles. After the filling process, the vials are sealed using a rubber stoppering system and finally, the vials exist after sealing.

The primary outputs from this equipment are the time to fill the vials and the fill quantity achieved. The control variables that can be adjusted by the designers are the filling pressure differential (delta P), length of the syringe (L), the diameter of the syringe (D). The variables that are specified by the customer (and fixed for your analysis) are the diameter of the vial, the volume of the liquid to fill in the vial, and the viscosity of the sterile liquid used.

Pre-requisites

There are no specific pre-requisites for this course.

Estimated Time

The duration of this activity depends on the amount of data you need to collect and the type of analysis you are going to perform and hence can range from 30 minutes to 8 hours.