Instructor Led Hypothesis Training - Training Resources

Prep Courses for ASQ-CQE Certifications with 100 job Guarantee ...ms Engineering 3. Probabilities 4. Basic Statistics 5. Hypothesis Testing 6. Acceptance Sampling 7. Control Charts 8. Reliability 9. Regressions and Correlation 10. Cost of Quality 11. Designs of Experiments 12. Metrology and Calibration Fees: Rs. 10, 000 (Inclusive of Study mtl, Question bank & Case studies, Mock Tests etc.) About the CQE Exam: (Visit http://cqeweb. com/) Last  more...

Six Sigma Green Belt Certification The Six Sigma Green Belt operates in support of or under the supervision of a Six Sigma Black Belt, analyzes and solves quality problems and is involved in quality improvement projects. A Green Belt is someone with at least three years of work experience who wants to demonstrate his or her knowledge of Six Sigma tools and processes. Program is accredited by the Lean Leadership Institute.  more...

Lean Six Sigma Green Belt The Six Sigma Green Belt Program gives participants the skills and knowledge they need for the exceptional leadership of business improvement projects. Upon completing each segment of training, participants immediately apply concepts and tools taught in training to their real-time improvement projects. Six sigma is a highly disciplined approach used to reduce the process variations to the extent  more...

PMP Preparation program -Classroom course ... your knowledge system. We have based our program on this hypothesis- through tried and tested methodologies. Through our extensive experience in the delivery of PMP training in Europe, Asia, Middle-east, we have discovered and applied a combination of EFFECTIVE learning techniques in order to help you absorb, retain and recall required information. Our trainers are PMP certified with  more...

Fundamental Tools in Statistics An efficient and effective one-day refresher on the fundamental tools in statistics. This course covers the two main divisions of statistics: descriptive and inferential statistics. First, the course covers descriptive statistics : the different types of variables, variability, distributions and the characterization of distributions through well-known statistics such as the mean and standard  more...

Introduction to the Design of Experiments This course covers the fundamental concepts in statistics in a non-technical and applied way. This session covers the fundamentals of statistics: the importance of recognizing the type of variables (role in the experiment and the values taken), descriptive statistics, relating variables, inferential statistics (mechanism, what is a p-value, the risks involved in statistical testing, confidence  more...