As a branch of KM, experience capitalization is a complex process to transform experience and learning for future use. This workshop will equip with participants tools to capture experience and knowledge from him/herself and from others, especially from experts. The captured experience and knowledge will enable participants avoid repeating the same mistakes or succeeding in a faster speed. As part of the knowledge engineering, an expert system will be used for knowledge sharing.
Objectives:
The workshop enables the participants understanding and practicing the experience capitalization and capture of knowledge from experts for building the Expert System.
Target Audience:
Interest in KM
Middle Managers
Newly promoted supervisor/officers
Anyone who would like to equip themselves with up-and-coming techniques, knowledge and increase their “power” meeting the coming challenges in workplace.
This workshop provides participants with concepts of Big Data, importance of Big Data and its applications in business world. Participants will learn how to discover new knowledge by using Data-Mining, the core technique in Big Data. For this Unit, algorithm in Data Mining will not be discussed hence, all practical exercises will use MS Excel. No advanced arithmetic and knowledge in Excel are required.
Who should attend?
Anyone interested in knowing the Data Analysis (simple data-mining) in Knowledge Discovery and learn how companies using them to their competitive advantages.
This course offers an extension to the “Analysis” module on Lean Six Sigma methodology. Hypothesis testing is considered one of the important modules in decision analytics for managerial considerations based on the observations.
What is the target?
There are various data types and malicious manipulations and interpretations could be dangerous to strategic decisions on the Analysis stage during a Six Sigma Project, especially large-scaled projects. The course helps professionals and executives to have a correct decision making strategies based on correct usage of hypothesis testing types.
Who should attend?
Specialists from Business Process Excellence, Market Research & Big Data, Quality Engineering, Process Engineering, Industrial Engineering, Pharmaceutical, Construction, Legal evidence, etc.
Teaching Methodology
Background theory
examples
case-study scenarios
Certification
Certificate of Successful Completion will be awarded to students who have achieved attendance criteria.
Course Outline
Basic statistics & statistical terms
Statistics recap
Statistical Terms
Hypothesis Testing
Theory, workflow & Applications
Classifications
The Frequently-used Hypothesis Testings
Theory
Mathematical calculations & Examples
Minitab Simulation examples
Industry specific Scenario Analysis
In-class practices
Useful References & Links
Fee
Registered Professionals: HK$1,400
Six Sigma Community Buddies /Members of SSI Partners: HK$1,500
Others: HK$1,650
Language:Mainly English with some Cantonese
Venue: Unit 1627, 16/F, Star House, No. 3 Salisbury Road, Tsim Sha Tsui, Kowloon *map*