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Total:
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Description

This course will give you a full perspective on how to deal with problems and find  sustainable solutions  in a scientific way. The best part of this program is that it is industry agnostic. This skill set is the most sought after one in each and every employee  especially during such testing times. This methodology when applied , will give you immediate visibility to the higher management. This certification will speak for itself about your ability to  handle business problems and solve it methodically, especially when you are applying for new jobs. On completion of this course you will become a regular user of Minitab statistical analysis software and great understanding of statistics. The reason why statistics is given importance in this course is due to the importance of measurement. If you do not measure the performance of your important metrics , you will not be able to improve it. The instructor  provides industry specific examples and generic examples for each topic covered in this course to make sure that each participant understands the concepts thoroughly.  The industries covered  includes examples form IT industry , ITES industry , Manufacturing , Banking etc. Last but not the least , learnings from this course can be used to solve problems in your daily personal affairs as well which includes issues around money management , time management , inventory management etc.
Who this course is for:
All type of Students (Graduation and Post graduations) , Entrepreneurs, professionals in any stream including (IT , Retail , Finance & Accounting , Banking , Manufacturing , Accounting , Hospitality , Dentist , Doctors etc...)

What you'll learn

Master the skill of Lean Six Sigma at a Green Belt level , earn a certification accredited to the International Council for Six Sigma

Lean Six Sigma , helps you to solve simple & complex , Chronic & Sporadic business problem in a very methodical and quickest way. This is the most sought after skill set of current times. LSS focuses on how to reduce cost at the same time radically enhance customer experience

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction to Quality and Lean Six Sigma
3
1.1-Introduction to Quality and it's importance
1.2-Introduction to Lean and Six Sigma
1.3-Lean Six Sigma Project Selection Methods
2-Introduction to Define Phase
5
2.1-Project charter
2.2-How to identify business problems
2.3-How to identify stakeholders and their position
2.4-How to find out the scope of the project
2.5-Complete a project charter of one problem identified in your work area
3-Measure Phase
22
3.1-Introduction to Measure
3.2-Process map & it's relevance to KPIV / KPOV
3.3-Data types - Continuous and Discrete
3.4-Sampling and Data Collection plan
3.5-Data Collection plan
3.6-Measurement System analysis
3.7-Attribute Gauge R&R analysis
3.8-Descriptive statistics - Measure of Central tendency
3.9-Descriptive statistics in Minitab
3.10-Introduction to Variation
3.11-Descriptive statistics - Measures of Variation
3.12-Basic data diagnosis - Time series
3.13-Basic Data diagnosis & stratification- Run chart , Bar & Pie chart
3.14-How to Baseline your project
3.15-Process capability analysis
3.16-Process capability indices
3.17-Calculation of Z score from various tables
3.18-Cause and Effect analysis
3.19-Pareto analysis for prioritization
3.20-Control Impact analysis for prioritizing X's
3.21-5 Why analysis for finding the root cause
3.22-FMEA for identifying the risk & root causes
4-Introduction to Analyze phase
21
4.1-Recap of Define and Measure
4.2-Analyze phase learning objectives and deliverables
4.3-Introduction & 5 principles of Lean
4.4-8 wastes in Lean
4.5-Introduction to Value Stream mapping
4.6-How to draw a VSM - An Example
4.7-Tools and techniques to analyze X's&Y's
4.8-Tools used for correlation studies
4.9-Properties of Normal distribution
4.10-Introduction to Hypothesis testing
4.11-Formulation of Null and Alternate hypothesis
4.12-Connection between hypothesis testing and 5 why analysis
4.13-Introduction to Type I and Type 2 errors
4.14-Introduction to P value
4.15-Hypothesis testing of means- Z test
4.16-Hypothesis testing of means - 1 sample t test
4.17-Hypothesis testing of means - 2 sample t test
4.18-Hypothesis testing of means - F test & Anova
4.19-Hypothesis testing of proportions - Chi Square test
4.20-Introduction to Regression - Simple Linear regression
4.21-Non parametric hypothesis testing - Man- Whitney test
5-Introduction to Improve phase
12
5.1-Recap of Analyze phase
5.2-Learning objectives and deliverable of improve phase
5.3-Brainstorming techniques ground rules for solution generation
5.4-Criteria based matrix for solution priritization
5.5-Pugh Matrix for solution prioritization
5.6-Introduction to Poka Yoke
5.7-Introduction to 5S
5.8-Cost benefit analysis
5.9-Implementation plan
5.10-Pilot implementation
5.11-Verification of pilot results
5.12-Improve roadmap
6-Introduction to Control phase
14
6.1-Improve Recap
6.2-Control phase learning objectives and deliverable
6.3-Control road map and Objectives
6.4-Process control and control plan
6.5-Introduction to control charts
6.6-Interpreting control charts
6.7-Control limits and specification limits
6.8-Types of control charts and selection of control charts
6.9-P and NP chart
6.10-U chart
6.11-IMR chart
6.12-X bar R chart
6.13-Steps for implementing control charts and response plan
6.14-Before and after display and project closure