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Diploma in Six Sigma

Rs.6,000 Rs.3,000

IISDT Offers 50% discount on all courses. Enroll your course today to avail discount offer. Government Job Valid Diploma/Certificate.

Six Sigma is a diploma program aimed at educating individuals in the process of analyzing processes and outcomes in the pursuit of reducing waste and reducing defects. The diploma process involves several levels, ranging from a primary end user to a master Six Sigma user.

Description

Course Name: Diploma in Six Sigma

Course Id: DSS/Q1001.
Education Qualification: 12th Pass.
Duration: 370 hrs (Equivalent to One Year).

Total Credits: 18.

How You will Get Diploma Certificate:

Step 1- Select your Course for Certification.

Step 2- Click on Enroll Now.

Step 3- Proceed to Enroll Now.

Step 4- Fill Your Billing Details and Proceed to Pay.

Step 5- You Will be Redirected to Payment Gateway, Pay Course and Exam Fee by Following Options.

Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 6- After Payment You will get Study Material Login id and Password on your email id.

Step 7- After Completion of  Course Study give Online Examination.

Step 8- After Online Examination you will get Diploma Certificate soft copy(Scan Copy) and Hard Copy(Original With Seal and Sign).

Step 9- After Certification you will receive Prospect Job Opportunities as per your Interest Area.

Online Examination Detail:

  • Duration- 120 minutes.
  • No. of Questions- 60. (Multiple Choice Questions).
  • 10 Questions from each module, each carry 10 marks.
  • Maximum Marks- 600, Passing Marks- 40%.
  • There is no negative marking in this module.
How Students will be Graded:
S.No.MarksGrade
191-100O (Outstanding)
281-90A+ (Excellent)
371-80A (Very Good)
461-70B (Good)
551-60C (Average)
641-50P (Pass)
70-40F (Fail)

Benefits of Certification:

  • Government Authorized Assessment Agency Certification.
  • Certificate Valid for Lifetime.
  • Lifetime Verification of Certificate.
  • Free Job Assistance as per your Interest Area.

Diploma in Six Sigma

 Fundamental of Six Sigma- What is Six Sigma, Data Driven Processes and Decisions, Decision making without six sigma, Decision making with six sigma, Real World Examples, calculating sigma level, Common six sigma Principles, Customer focused improvement, Continuous process improvement, Variation, removing waste, Equipping people.

Measurement System Analysis- Root Cause Analysis, The Cause and Effect, or fishbone Diagram, Cause and Effect Brainstorm Example, Root Cause Verification Matrix, Graphical Analysis, Pareto Chart, Box Plots, Statistical Analysis, Hypothesis Testing, Correlation and Regression Analysis, Desing of Experiments, Analyse Tollgate Checklist.

Hypothesis testing with Non normal data- Six Sigma in Healthcare, Benefits of Six Sigma in a Healthcare Environment, Challenges of Implementing six Sigma in a Healthcare Environment, Six Sigma Healthcare Case Study Virtua Health’s Cardiac Program, Measure, Analyse, Six Sigma Healthcare Cas Study- Medical Transcription, Tips for Using Six Sigma in Healthcare.

Multiple Linear Regression- Theory, Model Description, Multiple Linear Regression Model, Multiple Linear Regression Model, The Least- Squares Function, The Normal Equations, The Solutions for the Normal Equations, Outline, Autocorrelated errors, Autoregressive Model, Transformation of the model, Transformation of the model, the Linear Regression Model, the Seasonal Variability, Treatment of the basic functions, Fill Matrix, orthogonal Version of the QBO.

Fractional Factorial Experiments-Fractional Design Features, Analysis of Fractional Factorial Designs, Confounding, Other Fractional Factorial Designs, Algebra of Confounding, Algebra of Confounding (Cont), Design Resolution, Effects and Variation Explained.

Six Sigma control plans- Introduction to Minitab, Overview of the Minitab Interface, The Calc menu Option, Random Data, Column and Row Statistics, Probability Distributions, Brief Review, Probability Density Function, Calculating Multiple Probabilities at once, Remember to Work with the Right Probability Distribution.

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