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Learning Objectives: In this module, you will learn about overview and history of Six Sigma, benefits of Six Sigma and you will get a kick start on a Six Sigma Project.
Topics: Introduction & overview of six sigma project management, Who are customers, what are the types of customers?, What is Voice Of Customer(VOC), What are Critical To Quality (CTQ ), How do we map CTQs to internal Critical to Business Processes (CBP ), Elements of a project charter- Problem statement, Business case, Goal statement, Project scope & Project team
Learning Objectives: In this module, you will understand baselining the metric of Improvement, the types of data and Data Collection plan.
Topics: Process analysis & mapping, Identifying the detailed AS-IS processes, Understanding the tools to create a process map, Dos & Don’ts of process mapping, SIPOC, Understanding data, Types of data & characteristics, Basic statistics - Mean, Median, Mode, Standard deviation & Variation, Data collection techniques, Understanding data sampling and techniques, Defining a unit and evaluating DPU, DPO, DPMO, Computing process sigma for discrete & continuous data type.
Learning Objectives: In this module, you will understand the Data driven approach of analyzing data and use of various statistical techniques to infer results.
Topics: Data analysis techniques, Tools used for data analysis, Pareto Chart, Fishbone, FMEA.
Statistical hypothesis to validate the assumption ( Assumption based on P-value), Understanding Type I and Type II error, Analysis of Means using variation (ANOVA), Analyzing the statistical significance of 2 data sets using Correlation, Usage of Regression models to predict & estimate Y’s with X inputs.
Interpreting Chi-Square to determine statistical significance.
Learning Objectives: Various improvement methodologies to improve the process, prioritizing Root causes and shortlisting solutions.
Topics: Understanding Value, Evaluating Value added & Non value added activities using Value stream mapping, 5S ( Set, Sort, Straighten, Strengthen, Stabilize),Muda, Driving Kaizen events
Learning Objectives: In this module, you will learn to develop control mechanism. You will also learn about tools like Control Charts, which will be used depending on the type of data and sustenance measures.
Topics: Establishing Control Plans to sustain gains, Introduction to Statistical process Control (SPC) Charts, Identifying special and common causes, etc. ,Selection and application of right control charts, Application of the following types of Control charts: X bar R, X bar S, individual and moving range (ImR/ Xmr),NP,P,C and U.
Analysis of Control Charts- Interpret control charts results, common & special causes using rules for determining statistical control. Controlling the changes using poka yoke (mistake proofing), Analyzing new process capability and defining control plans
I took PMP online classes with edureka. Just wanted to let you know that I was successfully able to pass the PMP exam couple of weeks ago. I enjoyed learning the concepts of PMP through edureka by the excellent laid out structure.Instructor's method of teaching was very helpful. During the classes he went over the concepts in detail and also clarified all the questions very patiently. He also shared his real world experiences which helped the student to relate to the topic. Even after the completion of course work, while reviewing the chapters in LMS, I struggled in few areas and when I reached out to the instructor without any hesitation, he explained it to me by providing some good examples.Wanted to take a moment to thank the people who contributed the most in my success.
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Edureka aptly named, gives the students a Eureka" Moment during the course. Learning is a world to explore and Edureka provides us with the navigation maps. I never for a minute felt that I am doing this course online away from the faculty and the staff."
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