Learn about BB course structure, curriculum & certification process. Difficulty Level : Low

Learn about software needed. Difficulty Level : Low

What market expects from a Six Sigma Black Belt? Difficulty Level : Low

Learn about the guidelines to execute a good Black Belt project. Difficulty Level : Low

Understand about DMAIC, the 5 step methodology of Six Sigma to solve problems and what is covered in each step. You will also be able to apply the relevant phases to any given problem as you solve it.This whole course is structured around these 5 steps. Difficulty Level: Medium

In this lecture, you will learn about deliverables of the Measure phase of DMAIC methodology.​

In this lecture, you will learn about deliverables of the Analyze phase of DMAIC methodology.​ Difficulty Level: Medium

In this lecture, you will learn about deliverables of the Improve phase of DMAIC methodology.​ Difficulty Level: Medium

In this lecture, you will learn about deliverables of the Control phase of DMAIC methodology.​ Difficulty Level: Medium

In this lecture, you will learn about deliverables of the Define phase of DMAIC methodology. Difficulty Level: Medium

In this lecture, you will learn about the various elements of Six Sigma project charter.

Learn about different measures of performance used by Six Sigma organizations. Difficulty Level : Low

Continued from previous lesson. Learn about different measures of performance used by Six Sigma organizations. Difficulty Level : Low

Learn how to compute Rolled Throughput Yield? Difficulty Level : Low

Learn how to set targets for process and projects. Difficulty Level : Low

Learn about relevance of VoC to Improvement Projects & the scope of this lesson. Difficulty Level : Low

Learn about Gemba Discovery Process & how to it will be helpful in improvements. Difficulty Level : Low

Continued from previous lesson. Learn about Gemba Discovery Process & how to it will be helpful in improvements. Difficulty Level : Low

Continued from previous lesson. Learn about Gemba Discovery Process & how to it will be helpful in improvements. Difficulty Level : Low

​In this lecture you will learn about Affinity Diagram and how it is used to organize the results of VOC. At the end of the lecture you will be able to construct an affinity diagram for organize any qualitative data such as VOC. Difficulty Level: Medium

​In this lecture, you will understand Kano Model and how it can help you in focusing on most important customer needs rather than addressing several needs at the same time. At the end of this lecture, you will be able to identify and classify customer needs into 3 different types of customer requirements as defined by Kano. Difficulty Level: Medium

Learn how to execute Kano survey and interpret the results. Difficulty Level : Low

What is Business Process? Management System & why is it important to you? Difficulty Level : Low

What is organizational silo & how to break it Process Centricity & its relevance to Six Sigma Philosophy? Difficulty Level : Low

What are Business Processes & its relevance to BPMS? Difficulty Level : Medium

In this lecture, you will learn about how an important principle of six sigma that runs through the six sigma way of thinking and executing projects. Difficulty Level = Low

What is Big ’Y’ & its relevance to BPMS? Difficulty Level : Medium

Learn about various process inputs and how to use in building BPMS. Difficulty Level : Low

What is Operational Definition & its elements Relevance to BPMS Deployment & Six Sigma Projects? Difficulty Level : Low

What is the CTQ Tree and how to develop it?
Difficulty Level : Medium

What is Business Process Management System & its benefits? How to build one for your organization? Difficulty Level : Medium

​​In this lecture, you will learn about how statistics is classified into two types and how each of these are useful to business in decision making. At the end of the lecture, you will be able to decide which type of statistics is useful in a given scenario. Difficulty Level : Medium

In this lecture, you will learn about what is a histogram and how is it constructed. Difficulty Level : Medium

In this lecture, you will learn how to draw meaningful inferences about the data and its implications to business. Difficulty Level:Medium

In this lecture, through a scenario you will appreciate how histogram can be used in business to drive performance. ​Difficulty Level : Low

In this lecture, you will learn about probability distributions and how to interpret them. Difficulty Level : High

In this lecture, you will learn about descriptive statistics in general that summarizes the concepts you learnt in this section. At the end of lecture, you will be able to interpret descriptive statistics of any data set and drive necessary inferences. Difficulty Level: Medium

In this lecture, you will learn about measures of central tendency and how they are useful to understand the nature of any data set. Difficulty Level: Low

In this lecture, you will learn about measures of dispersion and how they are useful to understand the nature of any data set. Difficulty Level: Medium

In this lecture, you will learn about skewness and kurtosis, two important shape parameters of any distributions. At the end of the lecture, you will be able to assess any distribution for its skewness and kurtosis. Difficulty Level: Medium

Role of Measurement Variation & Types of Measurement System Analysis. Difficulty Level : Medium

In this lecture, you will learn about the elements of a measurement system and how each of them impact the data you are to collect. ​Difficulty Level : Medium

​In this lecture, you will learn about accuracy and resolution. At the end of lecture, you will be able to assess the accuracy and resolution of a gage. Difficulty Level : Medium

​In this lecture, you will learn about precision. At the end of lecture, you will be able to differentiate between accuracy and precision. Difficulty Level : High

​In this lecture, you will learn about discrete Gage R&R. At the end of lecture, you will be able to assess the Gage R&R of discrete gages and qualify them for further usage. Difficulty Level : High

Learn to perform discrete MSA using Agreement & Kappa Method. Difficulty Level : High

Understand Variable MSA (ANOVA method) in detail. Difficulty Level : High

Understand the various terms used in Variable ANOVA GRR. Difficulty Level : High

How to perform ANOVA Variable GRR and interpret the results? Difficulty Level : High

Ability to identify different types of statistical distributions 2.Apply the concept of distributions to practical situations. Difficulty Level : High

​In this lecture, you will learn about normal distribution and the principle of normal distribution. Difficulty Level : High

In this lecture, you will learn about Anderson-Darling Normality Test which is used to evaluate the normality of any probability distribution. At the end of this lecture, you will be able to assess the normality of any given distribution using Anderson-Darling Test. Difficulty Level: Medium

Understand what is Standard Normal Variable. Difficulty Level : High

Application of the concept of probability to business scenarios. Difficulty Level : High

Learn about different types of distributions. Difficulty Level : High

Learn about distribution parameters. Difficulty Level : High

How to deal with process lead time data? Answer important questions for business? Difficulty Level : High

Learn about Weibull Distribution & its characteristics. Difficulty Level : High

How to identify what distribution a given data belongs to? Difficulty Level : High

Learn about the application of Weibull Distribution. Difficulty Level : Medium

Learn about Exponential Distribution and its applications. Difficulty Level : High

Learn about Binomial Distribution. Difficulty Level : Medium

Application of Binomial Distribution. Difficulty Level : High

Learn about Poisson Distribution. Difficulty Level : High

Application of Poisson Distribution. Difficulty Level : High

Learn about the impact of Sample Size on Distributions. Difficulty Level : High

Learn about the application of Central Limit Theorem. Difficulty Level : Medium

In this lecture, you will learn about concepts of Confidence Level and Intervals and their relevance to descriptive statistics and statistics, in general. At the end of the lecture, you will be able to appreciate how these concepts assume importance during statistical analysis. Further you will be able to decide the apt confidence levels for any given scenario. Difficulty Level : High

Learn what are Confidence Intervals & why should you know about it. Difficulty Level : Medium

Learn how to compute Confidence Intervals for means. Difficulty Level : Medium

Learn about what is Degrees of Freedom & where will it be applied. Difficulty Level : Medium

Learn about t distribution & its relevance to data analysis.
Difficulty Level : Medium

Learn to compute the Confidence Limits for sample mean using t-distribution.
Difficulty Level : Medium

Learn to compute Confidence Interval for proportion data. Difficulty Level : Medium

Learn about F Distribution and its relevance to data analysis. Difficulty Level : Medium

Revise what you know about data sampling Difficulty Level : Low

Learn about Rational subgrouping and its importance Difficulty Level : Medium

In this lecture, you will be learn about the significance of data collection in improvement projects. At the end of the lecture, you will be able to get a good perspective how how to go about collecting data for a given project or scenario. Difficulty Level : Medium​

In this lecture, you will learn to format in which data has to be collected so that meaningful analysis and inference can be drawn from it. Difficulty Level : Low

In this lecture, you will understand factors influencing the sample size, in general and particularly discrete data and formula for computation of sample size. At the end of this lecture, you can compute the sample size for discrete data. Difficulty Level : High

Learn how to compute sample size for estimation using MS-Excel and Minitab Difficulty Level : Medium

In this lecture, you will understand factors influencing the continuous sample size and formula for computation of sample size. At the end of this lecture, you can compute the sample size for continuous data. Difficulty Level : High

Learn about how to adjust sample size for finite populations Difficulty Level : Medium

Learn about how to adjust sample size for finite populations. Difficulty Level : Medium

Importance of graphical methods & types of graphical tools. Difficulty Level : Low

In this lecture, you will learn about Stem and Leaf Plots and how they are used for graphical analysis. At the end of this lecture, be able to plot Stem and Leaf​ Plot and interpret it. Difficulty Level : Medium

In this lecture, you will learn about outliers and how they are used in business to drive performance. Difficulty Level: Medium

In this lecture, you will learn about Box and Whisker Plots and how they are used for graphical analysis. At the end of this lecture, be able to plot Box Plot and interpret it. Difficulty Level : Medium

Learn how to create and interpret Dot Plots, Box Plots & Interval Plots. Difficulty Level : Low

Learn how to create and interpret Run Charts in Minitab. Difficulty Level : Low

Learn how to create and interpret Time Series Charts in Minitab. Difficulty Level : Low

Learn about how to study and interpret non-linear correlation using Spearman’s Rho. Difficulty Level : Low

Learn how to create and interpret Marginal Plots. Diffifculty Level : Low

Learn about 3D Plots such as Scatter Plots, Contour Plots & Surface Plots. Difficulty Level : Low

Learn to create and interpret Multi-vary charts. Difficulty Level : Low

In this lecture, you will be introduced to the concept of statistical hypothesis testing and its need. Difficulty Level : High

​In this lecture, you will be learn about statistical hypothesis statements. At the end this lecture, you will be able to frame suitable hypothesis statements in any scenario. Difficulty Level : High

​​In this lecture, you will be learn about statistical and practical significance in hypothesis tests. At the end this lecture, you will be able to appreciate the role of statistical significance in any scenario. Difficulty Level : High

​​In this lecture, you will be learn about test statistic. At the end this lecture, you will be able to appreciate the role of test statistic in any hypothesis testing scenario. Difficulty Level : High

​​In this lecture, you will be learn about Critical statistic. At the end this lecture, you will be able to appreciate the role of Critical statistic in any hypothesis testing scenario. Difficulty Level : High

​​In this lecture, you will be learn about p-value. At the end this lecture, you will be able to appreciate the role of p-value in any hypothesis testing scenario. Difficulty Level : High

In this lecture, you will be learn about various hypothesis tests. At the end this lecture, you will be able to select an appreciate hypothesis test for scenario. Difficulty Level : High

Learn the principles behind hypothesis testing Difficulty Level : High

Learn how to perform 1t, 2t & Paired-t tests. Difficulty Level : High

Continued from previous lesson. Learn how to perform 1t, 2t & Paired-t tests. Difficulty Level : High

Continued from previous lesson. Learn how to perform 1t, 2t & Paired-t tests. Difficulty Level : High

Learn about theory behind ANOVA testing. Difficulty Level : High

Continued from previous lesson. Learn about theory behind ANOVA testing. Difficulty Level : High

Continued from previous lesson. Learn to apply 1 way ANOVA, 2 way-balanced ANOVA & 2 way –unbalanced ANOVA (GLM) and interpret the results. Difficulty Level : High

Continued from previous lesson. Learn to apply 1 way ANOVA, 2 way-balanced ANOVA & 2 way –unbalanced ANOVA (GLM) and interpret the results. Difficulty Level : High

Learn about types of chi-square tests & where to apply them. Difficulty Level : High

Learn about chi-square hypothesis tests & where to apply them. Difficulty Level : High

How to perform different types of chi-square tests and draw suitable inferences? Difficulty Level : High

Continued from previous lesson. How to perform different types of chi-square tests and draw suitable inferences? Difficulty Level : High

Learn how to perform 1P & 2P tests. Difficulty Level : High

Continued from previous lecture. Learn how to perform 1P & 2P tests. Difficulty Level : High

Learn about various risks involved in decision making with respect to hypothesis testing
Difficulty Level : High

Learn to compute sample size for hypothesis test based on risk factors & purpose of test Difficulty Level : High

How to perform Non-Parametric Hypothesis Testing Difficulty Level : High

How to perform One Sign & Wilcoxon Test? Difficulty Level : High

How to perform Mann Whitnney & Moods Median? Difficulty Level : High

How to construct a line of best fit for simple linear regression? Difficulty Level : High

How to construct a line of best fit for simple linear regression? Difficulty Level : High

What are fits, residuals & how it relates to Least Squares Method? Difficulty Level : High

What is R-sq & Adj R-sq? How is it computed? What is its significance? Difficulty Level : High

Learn about Confidence Band & Prediction Band. Difficulty Level : High

How to construct a Multiple Linear Regression? Difficulty Level : High

What is Multi-Collinearity & how to detect it? Difficulty Level : High

What is Best Subset Method and how to use it?
Difficulty Level : High

What is Logistic Regression? How to perform Binary Logistic Regression? Difficulty Level : High

Learn to perform logistic regression. Difficulty Level : High

Learn to build simple prediction models. Difficulty Level : High

Learn about the role of experiments in performance improvement. Difficulty Level : High

Learn about the different phases of experiments. Difficulty Level : High

Learn about types of structured experiment designs. Difficulty Level : High

Learn about of basic terms associated with DOE. Difficulty Level : High

Learn how to perform full factorial DOE. Difficulty Level : High

Learn how to analyse full factorial results. Difficulty Level : High

Learn how to analyse full factorial results continued from previous lecture. Difficulty Level : High

Learn about additional terms involved in DOE Difficulty : High

Learn how to perform fractional factorial DOE. Difficulty Level : High

Learn how to perform fractional factorial DOE continued from previous lecture. Difficulty Level : High

Learn to analyze fractional factorial results. Difficulty Level : High

Learn about structured experiment designs. Difficulty Level: High

Review concept of Process Capability Learn about CPM Types of Process Capability. Difficulty Level : High

In this lecture, you will learn about the principle of process capability and how it is useful to assess and compare the performance of process against customer requirements and each other. Difficulty Level : Medium

In this lecture, you will learn the step-by-step procedure to be followed to perform a process capability study. Difficulty Level : High

In this lecture, you will learn about the where process capability is useful to assess and compare the performance of process against customer requirements and each other. Difficulty Level :Low

How to select the right type of Process Capability Analysis?
Difficulty Level : High

How to perform Process Capability Analysis using Minitab? Difficulty Level : High

Continued from previous lesson. How to perform Process Capability Analysis using Minitab? Difficulty Level : High

Continued from previous lesson. How to perform Process Capability Analysis using Minitab?

How to interpret the results of Process Capability Analysis? Narrowing down on improvement strategies. Difficulty Level : High

Continued from previous lecture. How to interpret the results of Process Capability Analysis? Narrowing down on improvement strategies. Difficulty Level : High

When & how to use Data Transformation for Process Capability? Box-Cox Transformation & Johnson Transformation. Difficulty Level : High

Continuation from previous lecture. When & how to use Data Transformation for Process Capability? Box-Cox Transformation & Johnson Transformation. Difficulty Level : High

Continuation from previous lecture. When & how to use Data Transformation for Process Capability? Box-Cox Transformation & Johnson Transformation. Difficulty Level : High

Learn to perform Weibull Process Capability & use it to take decisions. Difficulty Level : High

Learn to perform Binomial Process Capability & use it to take decisions. Difficulty Level : High

Learn about barriers for Change and positions taken by stakeholders. Difficulty Level : Medium

Learn about barriers to change. Difficulty Level : Medium

Learn about the science between change resistance and how to accelerate change. Difficulty Level : Medium

Learn how to manage change in improvement projects. Difficulty Level : Medium

Learn about accountability for improvement. Difficulty Level : Medium

Learn change management strategies & how to execute them. Difficulty Level : Medium

In this lecture, you will learn about different types of control charts and the criteria for selection of control charts in a given scenario. At the end of the lecture, you will be able to choose an appropriate control chart. Difficulty Level: High

In this lecture, you will learn about discrete control charts, their construction and interpretation. At the end of this lecture, you will be able to select and create an appropriate Discrete Control Chart. Difficulty Level: High

In this lecture, you will learn about continuous control charts, their construction and interpretation. At the end of this lecture, you will be able to select and create an appropriate Continuous Control Chart. Difficulty Level: High

Understand what are pre-control charts and how to use them for process control. Difficulty Level : Medium

Understand what are pre-control charts and how to use them for process control. Difficulty Level : Medium

Learn about MA, EWMA and CUSUM control charts. Difficulty Level: High

Learn about MA, EWMA and CUSUM control charts. Difficulty Level: High