| NAME OF THE COURSE |
| STRATEGIC STATISTICAL THINKING FOR DECISION MAKERS |
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| CERTIFICATION |
| STRATEGIC STATISTICAL THINKING FOR DECISION MAKERS |
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| COURSE OVERVIEW |
| This short course explains how Systems and Statistical thinking can improve operational efficiency and effectiveness in today’s complex and changing environments. Various examples and interactive discussions will be used to illustrate how insightful and competitive solutions can result from such thinking processes, overcoming possible wastes and shortcomings of the single-subject, deterministic approach commonly seen in conventional education curricula. |
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| TRAINING DURATION |
| Training Hours per day : 4-6 Hours |
| Total Training Hours : 20-24 Hours |
| Training Duration : 5 Days |
| Total Training Days : 5-10 Working Days |
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| TRAINING SCHEDULE |
| Weekdays (Sunday to Thursday) |
| Regular Sessions : 4 – 6 Hrs Per day (9am to 2pm or 3.00pm to 9.00 pm) |
| Food & refreshments Included |
| Weekends (Friday & Saturday) |
| Fast Track Sessions: 8 Hours per day (9am to 5pm) |
| Food & refreshments Included |
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| CERTIFICATION |
| Globally recognized certificate from “Kings Global Career Academy” |
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| TEST |
| No |
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| LEARNING AIDS |
| Yes |
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| COURSE MATERIAL |
| Hard & Soft Copies of Study Material |
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| LANGUAGE OF INSTRUCTION |
| English |
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| INSTRUCTOR HELPLINE |
| Yes |
| 1. Email |
| 2. Social Media (For Emergency requirements) |
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| REGISTRATION REQUIREMENTS |
| 1. Passport Copy |
| 2. Curriculum Vitae |
| 3. Passport size photographs |
| 4. Course Fee |
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| MODE OF PAYMENT |
| Cash / Cheque / Credit Card / Bank Transfer. |
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| ELIGIBLE FOR |
- Managers and personnel with responsibilities for problem-solving and decision-making in operational analysis, design and execution.
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- The discussions will be generic and not confined to any particular industry or profession.
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| COURSE CONTENTS |
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| Fundamentals of Operational Excellence |
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- Impact of system definition on operational decisions
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- Ambiguities in objectives and achievements
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- Inter-relations among performance, resources and constraints
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- Systems and Statistical Perspectives
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- Necessity and importance of statistical thinking
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- transition from data to information to decision making
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- Examples of counter-intuitive results in data analysis
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| Data-Driven Information and Knowledge |
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- Conditions for valid information analysis
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- Common system modelling procedures
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- System models: use, misuse and abuse
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- Handling Complex or Unfamiliar Systems
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- Avoiding pitfalls in real-world data collection and analysis
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- Principles of efficient and effective data management
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- Productivity in the face of uncertainties and unknowns
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| FUNDAMENTALS OF STATISTICAL THINKING |
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| 1) The role of statistics in quality improvement |
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| 2) Core fundamentals of statistical thinking |
| – Binomial distribution |
| – Poison distribution |
| – Normal distribution |
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| 3) Data based decision – making |
| – The data type (variable and attribute) |
| – Stratification in data analysis |
| – Population Vs Samples |
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| DATA TO INFORMATION |
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| 1) How to collect data |
| 2) Check Sheet |
| 3) Central tendency and dispersion |
| 4) The measure of variability (Range & Sigma calculations) |
| 5) Applications |
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| PROCESS CONTROL CHARTS |
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| 1) Process Variations Concepts |
| 2) Control chart for variables (X bar – R Chart) |
| 3) Control chart for attributes (p chart, np chart, c chart, u chart) |
| 4) Cases of Variation (Common & Special) |
| 5) Trends and Patterns interpretation of Control Charts |
| 6) Application of Control Charts |
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| PROCESS CAPABILITY |
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| 1) What is process capability analysis |
| 2) Definition of CP (Capability Ration) |
| 3) Definition & Interpretation of CPK |
| 4) Applications of process Capability |