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Six Sigma Yellow Belt

This training will provide participants with a basic understanding of the Six Sigma methodology and prepare them for active participation in improvement projects.
Level
Designed for participants without knowledge and experience
basic
Course length
2 days
Language
 eu  cz
Course code
PU23010126
IT Service Management
Category:
Do you want this tailor-made course to your company? Contact us

Courses on a specific date with a live lecturer

Term
Language
Place
Form
?
How and where the course takes place.
Price without VAT
G
Garantovaný
20. - 21. 5. 2024
Language
Place
Praha
Form
classroom
?
The course with an instructor in classroom.
Code of the course: PU23010126-0005
Price without VAT
13 000 Kč
Open term
?
We will agree on a specific date together. This is a non-binding order.
Language
Place
online
Form
virtual classroom
?
Online training with a lecturer at a specific time.
Code of the course: PU23010126-0002
Price without VAT
14 000 Kč

Expressions of participants

Vojtěch K.
T-mobile
"The course was great and I really enjoyed it."
Jan K.
T-mobile
"Excellent lecturer, clear examples."
Michaela O.
T-mobile
"Best training so far. Pleasant demeanor, understandable examples from practice."

Course description

We will introduce participants basic principles, tools and benefits of implementing the Lean Six Sigma concept. During this practically oriented course, participants will look for solutions for their real business case.

Target audience

Six Sigma Yellow Belt training is usually intended for different groups of people in an organization who want to acquire basic knowledge and skills in the field of Six Sigma and contribute to process improvement. This training may be suitable for:
  • Employees: Who are involved in processes in the organization and want to become active members of quality and efficiency improvement projects.
  • Middle Management Leaders: Who want to understand how Six Sigma can bring benefits to the organization and how to effectively manage projects within the Six Sigma methodology.
  • Quality Improvement Teams: Who want to expand their Six Sigma knowledge and skills and become more effective team members working on process improvement.
  • Employees in the manufacturing and service sectors: Who are interested in increasing quality, reducing defects and improving processes in their work environment.
  • People who want to become familiar with Six Sigma: Who are not directly connected to processes, but want to understand this methodology and increase their awareness of quality and process improvement.
  • Anyone interested in certification: Who wants to obtain Six Sigma Yellow Belt certification in recognition of their knowledge and skills in the area of Six Sigma.

Course content

Day 1: Basics of Six Sigma and DMAIC
Six Sigma Introduction
  • What is Six Sigma and its history
  • Six Sigma principles: Emphasis on quality, processes and data
  • Yellow Belt roles and responsibilities in Six Sigma
DMAIC methodology
  • Definition: How to identify a problem and set project goals
  • Measurement: Data collection and evaluation of the initial state of the process
  • Analysis: Identifying the root causes of the problem
  • Improvement: Design and implementation of solutions
  • Control: Monitoring and maintaining the improvements achieved
  • Examples of DMAIC projects
Yellow Belt Tools and Techniques
  • Flowcharts and process mapping
  • Histograms and data analysis
  • Ishikawa diagram (Fishbone diagram)
  • 5S method for organizing the workspace
  • Plan-Do-Check-Act (PDCA) method
Day 2: Advanced techniques and practice
Statistical tools
  • Basics of Statistics for Six Sigma
  • Standard deviation, mean, range
  • Basic statistical tests: t-test, ANOVA
  • Control charts for process monitoring
Six Sigma practice
  • Practical exercise on process maps and histograms
  • Exercise on identifying the causes of problems using the Ishikawa diagram
  • Analyzing real data and solving simple problems
Certification and conclusion
  • Test to verify Yellow Belt knowledge
  • Discussion on the future use of Six Sigma in practice
  • Participants' questions and evaluation of the training

Certification

Part of the training is a certification exam.
The test consists of 20 questions. Yellow Belt does not include statistical calculations, but requires an understanding of how to correctly apply the individual techniques explained.
After successfully passing the test (80%), the Yellow Belt candidate will receive a certificate.

Objectives

The goal of Six Sigma Yellow Belt training is to prepare participants for a basic level of involvement in Six Sigma projects and to provide them with an awareness of the Six Sigma methodology and the tools used in this methodology.

Do you want this tailor-made course for your company?

Contact us

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Follow-up courses

Expressions of participants

Vojtěch K.
T-mobile
"The course was great and I really enjoyed it."
Jan K.
T-mobile
"Excellent lecturer, clear examples."
Michaela O.
T-mobile
"Best training so far. Pleasant demeanor, understandable examples from practice."

Do you want this tailor-made course for your company?

Contact us

News with the course

Náhledový obrázek novinky
ITIL 24. 4. 2024
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While studying in eLearning, each participant can progress at their own pace and interest. They can focus on specific topics they consider important and review them as needed. The PeopleCert e-learning platform incorporates various interactive elements.

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ITIL 1. 2. 2024
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The ITIL 4 certification scheme can be tailored to the individual needs of both individuals and organizations. It employs a modular, layered approach that allows building a comprehensive view of service management or focusing on specific knowledge areas.

Náhledový obrázek novinky
ITIL 11. 1. 2024
Conference itSMF: AI in IT services

On January 24th and 25th, the itSMF conference will take place, organized by itSMF Czech Republic. With the advent of artificial intelligence, the question arises of whether IT service management should be intelligent and whether it should be under the control of artificial intelligence (AI).

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