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Lean Six Sigma Training is culmination of Lean & Six Sigma. Lean on one side comes down heavily on reducing waste & Six Sigma on other hand is heavy on reducing variation in the process. Training will be driven on Minitab and practical exposure is assured with a classroom project. The concepts of these methodologies complement each other and produce synergistic impact in achieving profound results. The results are so outstanding that it increases both the bottomline (profits) and the topline (increase in business). Course is explained using DMAIC methodology with a lot of real world case studies. Most of the case studies are solved using Minitab, which is amazing statistical GUI tool. Participants also get to work on a practice project towards the end to ensure that their learnings are put to practice in an endtoend project. Quizzes at the end of each topic will set a way to recollect the topics discussed to increase the retention of topics learnt.
Data analysts, Quality professionals, Project managers, Quality assurance & control professionals, Six Sigma Practitioners, Fresh graduates who wants to establish themselves in the space of Lean Six Sigma are all eligible for undergoing this course. Leadership which has used Lean Six Sigma methodology has often achieved the uncommon by exponentially increasing the profits by keeping the operating costs the lowest and maintaining the highest quality. Lean Six Sigma Green and Black belt certification is driven using DMAIC (Define, Measure, Analyze, Improve, Control) methodology whereas Master Black belt certification is delivered majorly on DMADV (Define, Measure, Analyze, Design, Validate) methodology. DMADV is also called DFSS (Design for Six Sigma).
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Section 1: Lean Six Sigma Green Belt Introduction Video  

Lecture 1  11:04  
Learn about the training institute ranked as No. 1 by Silicon India. Agenda crisply explains the various concepts which are pivotal for understanding preliminaries of Six Sigma. 

Lecture 2  07:45  
Learn the basics of Lean & Six Sigma. Learn on how are these two quality improvement methodologies similar & dissimilar. Know about interesting industries in which Six Sigma is implemented. 

Lecture 3  09:58  
Learn on how Six Sigma helps management achieve their business objectives faster & better than any other improvement methodology known to the human kind by far. 

Lecture 4  14:29  
Learn about the various elements of control plan and how to ensure that we effectively plan & execute the control plan. Learn on how to decide whether a control plan is complete or not using a checklist. 

Lecture 5  06:33  
Learn about the various data types such as continuous data, discrete data. Explained here are the various terminologies of these data types along with relevant examples to differentiate with ease the various data types. 

Lecture 6  08:58  
Learn about measures of central tendency including Mean, Median & Mode. Also explained here are measures of dispersion including Variance, Standard Deviation & Range. All these are explained using simple examples. 

Lecture 7  08:27  
Learn through practice by working on evaluating on which internet service provider is better given the time taken to solve the internet connectivity issues. Use all the concepts learnt until now to work on this case study. 

Lecture 8  12:40  
Graphical representation is pivotal to the analysis of all Six Sigma projects. Learn about Barplot, Histogram, Skewness, Binning, Normal distribution & many detailed concepts. 

Lecture 9  21:03  
From Histogram to Probability Distribution to Density Functions, you will easily learn the plot & see the real world application of the same. 

Quiz 1 
Introduction:

15 questions  
Section 2: Six Sigma Define Phase  
Lecture 10  05:31  
Know about the concepts discussed as part of Define phase. This is arguably the most important phase of the whole Six Sigma project. A careful evaluation of this phase will determine the success of the project. 

Lecture 11  09:19  
Learn about the various avenues of generating project ideas. This includes Voice of Customer (VOC), Voice of Business (VOB). From these high level statements, one has to identify the critical to quality (CTQ) measures. 

Lecture 12  08:07  
Learn on how to identify CTQ measures from VOC, VOB? How to further learn on identifying primary & secondary CTQ measures? Why is it important to identify secondary CTQ measure? 

Lecture 13  07:40  
Learn through practice, which is a concept of ExcelR, will help you effectively identify the CTQs from VOC, VOB. CTQs such as Critical to Delivery, Critical to Cost are all part of Critical to Quality. 

Lecture 14  06:51  
How to determine a Lean Six Sigma project with effective timelines & how to decide upon a team effectively for success of project is discussed here. 

Lecture 15  14:12  
Learn about the most important document prepared as part of the Define phase. Learn on how to effectively come up with inscope & outofscope, business case, etc. 

Lecture 16  09:47  
Learn on how to define the goal which is SMART, meaning, Specific, Measurable, Achievable, Relevant, Time bound. Learn this using practical examples. 

Lecture 17  09:45  
This concept explains the importance of having high level process maps such as SIPOC (Supplier, Input, Process, Output, Customer), Swim lanes, FDM (Functional Deployment Maps). 

Quiz 2 
Define Phase:

12 questions  
Section 3: Six Sigma Measure Phase  
Lecture 18  07:10  
Learn the importance of measuring the current output variable to be achieved. Learn on why is Measure phase so important in achieving the project objectives and the various concepts discussed in Measure phase. 

Lecture 19  14:02  
Central Limit Theorem (CLT) is at the heart of why normal distribution is so important. Learn about the concept of Population, Sample, Simple Random Sampling & why CLT is so important. 

Lecture 20  13:37  
Learn on how to compose operational definition, specification limits, data types & goal, before the actual data collection process starts. Learn on how to obtain these from Standard Operating Procedures. 

Lecture 21  10:03  
Learn on how to perform Attribute Agreement Analysis (AAA) & the various concepts of AAA including Repeatability, Reproducibility, Accuracy & Stability. 

Lecture 22  11:27  
Learn on how to perform AAA and how to draw inferences from a practical case study in evaluating the measurement system. You will learn about the thumb rules in determining on when to accept, cautiously accept or reject measurement system. 

Lecture 23  10:53  
Learn on how to perform AAA and how to draw inferences from a practical case study in evaluating the measurement system. You will learn about the thumb rules in determining on when to accept, cautiously accept or reject measurement system. 

Lecture 24  08:43  
Learn about what is Sigma Level. Why do we need to baseline the current performance before performing any improvements. Learn about Sigma long term & short term & the relationship between these two. 

Lecture 25  06:16  
Learn practical calculation of Sigma Level for continuous data using a few practical case studies. Learn the manual way of calculating the Sigma Level along with calculating Sigma Level using Sigma Level Calculator. 

Lecture 26  13:32  
Learn on how on calculate Sigma Level for discrete data given all the 3 scenarios including sample size known, sample size unknown & defectives. 

Lecture 27  07:43  
Learn about what is Yield & differences between Traditional yield, First Time yield, Rolled Throughput yield. Learn the advantages & disadvantages of these 3 techniques. 

Lecture 28  11:25  
Learn about the differences between the capability indices including Cp, Cpk. Learn on when to reduce variation in the process & when to move mean closer to target. Also learn the thumb rules for comparing Cp, Cpk against. 

Lecture 29  13:07  
Learn about the differences between the capability indices including Cp, Cpk. Learn on when to reduce variation in the process & when to move mean closer to target. Also learn the thumb rules for comparing Cp, Cpk against. 

Lecture 30  19:48  
This tutorial covers two case studies pertaining to Attribute Agreement Analysis. You will learn about Within Appraisers, Between Appraisers, Each Appraiser vs Standard, All Appraisers vs Standard. 

Lecture 31  06:02  
This tutorial covers the case studies pertaining to Capability Indices. You will learn on how to calculate Cp, Cpk values if the various values of USL, LSL, Mean, Standard Deviation is provided. 

Lecture 32  11:36  
This tutorial covers the case studies pertaining to calculating Sigma Level for continuous data. Learn on how to calculate Zst, Zlt if the provided data type is continuous. 

Lecture 33  06:56  
This tutorial covers the case studies pertaining to calculating Sigma Level for discrete data. Learn on how to calculate Zst, Zlt if the provided data type is discrete. 

Quiz 3 
Measure Phase:

13 questions  
Section 4: Six Sigma Analyze Phase  
Lecture 34  07:45  
Learn about the topics required to identify the various inputs required to improve the output. Understanding the steps involved in generating multiple project inputs & thereby shortlisting those into critical few inputs. 

Lecture 35  07:15  
Learn the first step involved in generating as many inputs as possible. You will learn about qualitative & quantitative ways of identifying inputs along with time based & risk based techniques. 

Lecture 36  10:56  
Learn about brainstorming, structured brainstorming including Round Robin & Delphi techniques to identify all the inputs needed to achieve the business objectives along with Affinity diagram. 

Lecture 37  06:42  
Learn about the various steps involved in performing Fishbone analysis, which is also called as Cause & Effect analysis or Ishikawa diagram. Also learn on how to identify the various high level categories and also 5Why analysis. 

Lecture 38  13:26  
Learn about time based analysis technique which is also called as VA/NVA analysis or process map analysis. This is the most important Lean technique which helps us quickly identify all the inputs to achieve the output. 

Lecture 39  12:51  
Learn difference between risk & an issue & the various steps involved in risk management including risk identification, qualitative & quantitative risk analysis, plan risk responses & monitor the risks. 

Lecture 40  12:30  
Learn about FMEA which is the best known technique to identify, prioritize and manage risks. Learn on who has pioneered FMEA and how does it help in assessing current process analysis. 

Lecture 41  12:16  
Learn about the scales given to Severity, Detection & Occurrence. Learn on how to calculate the risk priority number & how to prioritize the risks based on RPN. 

Lecture 42  10:23  
Learn about the concept of Pareto Chart which is also called as 80/20 rule. Also implement a practical case study on Pareto to identify the top 20% causes which contribute to 80% of problems. 

Lecture 43  14:09  
Learn the quantitative way of dealing with inputs through Hypothesis Testing. Learn about Null & Alternate Hypothesis, Type I & Type II errors. 

Lecture 44  13:09  
Learn about Alternate Hypothesis & also learn on how to compose null & alternate hypothesis using a variety of use cases. 

Lecture 45  06:33  
Learn about what is pvalue & how to compare pvalue with the alpha value. Learn about the various types of hypothesis tests and how to decide on which test suits well for a given scenario of Inputs & Outputs. In the upcoming sessions we will deep dive into all the hypothesis tests. 

Lecture 46  17:06  
Learn through a case study on how to identify inputs & outputs given a business scenario and how to identify the appropriate hypothesis test. Learn about normality test, variance test & 2 sample t test. Learn on how to compose null and alternate hypothesis for each of these tests & when to reject or fail to reject the null hypothesis. 

Lecture 47  16:20  
Learn through a case study on how to identify inputs & outputs given a business scenario and how to identify the appropriate hypothesis test. Also learn about the assumptions of ANOVA test. Learn about normality test, variance test & oneway ANOVA test. Learn on how to compose null and alternate hypothesis for each of these tests & when to reject or fail to reject the null hypothesis. 

Lecture 48  06:06  
Learn through a case study on how to identify inputs & outputs given a business scenario and how to identify the appropriate hypothesis test. Learn about 2 Proportion test given a business scenario. 

Lecture 49  11:24  
Learn through a case study on how to identify inputs & outputs given a business scenario and how to identify the appropriate hypothesis test. Learn about the assumptions pertaining to ChiSquare test. 

Lecture 50  16:59  
Learn about scatter plot to determine the direction of relationship between 2 variables, strength of the relationship between 2 variables & whether the relationship is linear or not. Learn about the correlation coefficient, r, & its range to determine the strength of relationship in a quantitative way. Also learn about the direction of relationship. 

Lecture 51  10:24  
Learn about regression equation & the various parameters to form a regression equation which will help you predict the output with a given set of inputs. 

Lecture 52  04:05  
Learn about the sufficiency of critical inputs & finally summarize the Analyze phase. 

Quiz 4 
Analyze phase

16 questions  
Section 5: Six Sigma Improve Phase  
Lecture 53  04:52  
Learn on what to focus on in the Improve phase & how to improve the set of inputs shortlisted from the Analyze phase. 

Lecture 54  07:23  
Learn about the various techniques to generate alternate solutions such as Process Mapping, Ideation techniques & Benchmarking. Major focus is on Brainstorming, Round Robin fashion. 

Lecture 55  08:47  
Learn about a technique called as De Bono 6 Thinking Hats & the use of the 6 color hats, namely, White, Red, Black, Yellow, Green, Blue. 

Lecture 56  09:02  
Learn about creative thinking which is similar to 5Why analysis. Learn this technique which a kid knows intuitively. Also learn about the variants of Benchmarking. 

Lecture 57  10:44  
Learn about Pugh matrix which is extensively used in Decision Analysis & Resolution to evaluate multiple solutions & decide 'the one solution' which suits very well. 

Lecture 58  04:16  
Learn about Delphi technique which is also called as expert consensus. Learn on how to deal with conflicts when ever there is a sign of conflict among your subject matter experts. 

Lecture 59  10:34  
Learn on how to decide upon the best solution by using the techniques such as Multivoting & a variant of multivoting called as nominal group technique. 

Lecture 60  10:59  
Learn the single most important technique in deciding upon the most optimum solution given the constraints, which is, Design of Experiments. 

Lecture 61  14:15  
Learn on why pre piloting, piloting & post piloting are so important. Also learn about testing the solution before implementing it in a big way across the entire scope of project. 

Quiz 5 
Improve phase

10 questions  
Section 6: Six Sigma Control Phase  
Lecture 62  17:24  
Learn about the control chart using a very unique, easy to remember example. Learn about identifying outliers by constantly monitoring the process throughout. Learn on what to expect from this phase of Six Sigma which will help us sustain the solution which is built with a lot of analysis. 

Lecture 63  13:38  
Learn about the various elements of monitoring critical inputs. Learn about the idea that monitoring critical inputs will automatically control the various outputs. 

Lecture 64  15:22  
Learn the best way to monitor the solution using Mistake proofing, which is about composing a solution which will not let us make mistakes even if a person wants to. Learn about Shutdown, Control & Warning techniques of mistake proofing with a lot of thought igniting examples. Though costly these solutions are fool proof. 

Lecture 65  06:58  
Visual standards, which is also called as color coding is the next best way of monitoring solution which will not let humans make mistakes unexpectedly. Learn the least preferred way of monitoring solutions, which happens to be the only possibility given a lot of costbenefit business scenarios. 

Lecture 66  15:17  
Learn about the various control charts along with learning about basics of control charts including specification limits & control limits. Learn about the various control charts & when to use which chart given business scenarios. Learn about common cause variation & how to identify special causes for continuous & discrete data types. 

Lecture 67  10:09  
Learn about the discrete data type control charts such as P chart & NP chart. Learn on when to use P chart and when to use NP chart. Also learn on how to perform 4 important tests in identifying outliers. 

Lecture 68  03:59  
Learn about the discrete data type control charts such as C chart. Learn on when to use C chart. Also learn on how to perform 4 important tests in identifying outliers. 

Lecture 69  09:19  
Learn about the continuous data type control charts such as Xbar S chart. Learn on when to use Xbar S chart. Also learn on how to perform 8 important tests in identifying outliers. Learn about the continuous data type control charts such as IMR chart. Learn on when to use IMR chart. Also learn on how to perform 8 important tests in identifying outliers. 

Lecture 70  11:40  
Learn on how to identify various trends in a control chart. Also learn on documenting the solutions & sharing the document with the process owner & get a final signoff on the project. 

Quiz 6 
Control Phase

10 questions  
Section 7: Practice Project  
Lecture 71  32:20  
Learn about problem statement & how to come up with the overall cost benefits of the project. Learn about the key fields which have to be included as part of Project Charter. Also learn about the time management concepts of network diagram & how to calculate the critical path of the project activities & how to come up with the total duration of the project. 

Lecture 72  28:29  
Learn about continuation of critical path identification for the project. Learn about the high level business process map  SIPOC. Learn about the CTQ performance characteristics in the Measure phase. Learn about how to evaluate the measurement system using Attribute Agreement Analysis & compose the data collection plan. Learn on how to baseline the current performance of the project along with identifying all the inputs which will impact the output. 

Lecture 73  19:41  
Learn about evaluating & shortlisting the critical inputs from the trivial many inputs identified, which will impact the output. Learn about 2Proportion Test & ChiSquare Test. 

Lecture 74  04:41  
Learn about identifying the top issues which contribute to 80% of problems using Pareto Chart. 

Lecture 75  17:24  
Learn on how to identify the risks associated with the project using FMEA. Learn about Pugh Matrix, Multivoting, Nominal Group Technique to identify the best solution among the available solutions. Finally learn the art of controlling the project improvements using control charts. 
Certifications:
Certified Six Sigma Master Black Belt
Project Management Professional (PMP)
Agile Certified Practitioner (PMI  ACP)
Risk Management Professional (PMIRMP)
Certified Scrum Master
Agile Project Management – Foundation & Practitioner from APMG
Bharani Kumar is an Alumnus of premier institutions like IIT & ISB with 15+ years professional experience and worked in various MNCs such as HSBC, ITC, Infosys, Deloitte in various capacities such as Data Scientist, Project Manager, Service Delivery Manager, Process Consultant, Delivery Head etc.
He has trained over 1500 professionals across the globe on Business Analytics, Agile, PMP, Lean Six Sigma, Business analytics and the likes.
He has 8 years of extensive experience in corporate, open house and online training.
He is a thorough implementer with abilities in Business Analytics and Agile projects.
He worked in Delivery management focusing on maximizing business value articulation.
He has a comprehensive experience in leading teams and multiple projects.
Quality Management: A thorough implementer with abilities in Quality management focusing on maximizing customer satisfaction, process compliance and business value articulation; comprehensive experience in leading teams & multiple projects. A resultoriented leader with expertise in devising strategies aimed at enhancing overall organizational growth, sustained profitability of operations and improved business performance.
Project Management: Project Management Professional involved in Initiation, Planning, Execution, Monitoring & Controlling and Closing phases of project activities. Devising and implementing project plans within preset budgets and deadlines and managing the projects towards successful delivery of project deliverables and meeting project objectives.
Training: Close to 8 years training experience and conducted multiple trainings in PMP, Agile, Six Sigma, Business Analytics and Process Excellence across the globe. Understands the individual differences of the attendees and possesses excellent training skills and considered as one of the best trainers in his areas of expertise.