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Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Lean Six Sigma Black Belt Certification Program This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

PARTICIPANTS WILL ENGAGE IN A TRAINING SESSION TO IMPROVE AND REFINE THEIR RÉSUMÉS. OPPORTUNITIES TO ENGAGE IN ONE-ON-ONE RÉSUMÉ BUILDING & REVIEW SESSIONS CAN BE OFFERED AS WELL. It’s time to move on—or maybe you’ve been “in transition” for too long. Either way, you need some input so that you know what others see when they look at your résumé, and what they hear when they interview you. Participants will engage in a training session to improve and refine their résumés. Opportunities to engage in one-on-one Résumé Building & Review sessions can be offered as well. Part I Data Collection and Organization – assessing work/activities and IMPACT (results) Success Story Format (Situation, Action, Results) Writing With Impact – how to tie actions to results Choosing The Right Words – transferable skills and powerful words Sales 101 – How will these skills benefit the hiring person’s organization? Part II UB4I Writing (“YOU”/ “YOUR,” not “I,” “me,” “my”) Reference list Principles of networking Cover Letter and Résumé Formats – margins, font, type size, small caps, etc. Role Play – Mock Interviews Participants will be able to: Create a complete and correct résumé, a marketing device to attract attention, generate interest, describe accomplishments, and invite contact. Discover, correct, and improve self-marketing messages, leading to a systematic assessment of specific work-related skills. Examine transferable skills and increase personal alignment with prospective organizational mission and goals. Online Format—Résumé Writing, Networking, & Interviewing Workshop 4-hour interactive virtual class. Register for this class and you will be sent ONLINE login instructions prior to the class date. After a two-day seminar, our attendees remained in their seats wanting more from Dr Atkins. His direct, yet challenging approach to presenting topics seemed to mesmerize the participants. Many very lively discussions were part of our workshop’s context. Personally, I am very interested in re-booking this type of experience every year for new leaders to undergo! Michael J. Whitlock, Director of Fay Corey Union & ConferencesSUNY Cortland

Has the Computer System Validation Engineer left and you’ve been handed their responsibilities? Do the thoughts of your next audit fill you with dread? CSV can be frustrating but this program will show you how to manage electronic data in a regulated manufacturing/laboratory/clinical environment using the GAMP framework and ensure compliance with FDA’s 21 CFR Part 11, EU Annex 11 or other regulatory guidelines.

Project Manager's Immersion Program A Deep Dive into Project Management Skills for Serious Practitioners

Overview This course examines the major tools, techniques, and principles aimed at improving quality and productivity in the public sector. To provide students with practical methods for improving public organizations, this course will cover accountability systems, performance measurement, pay-for-performance reward systems, contracting out, and organizational assessment

Overview This course is specially designed to enhance generic auditing skills and to attain the necessary skills as required and implementation to be a certified Internal Auditor. It is not aimed at any particular ISO Management Standard or process.  Objective Improve their knowledge of best practices in the audit industry Validate their proficiency and skills in audit Differentiate themselves from their peers and create a unique advantage for themselves Set the precedence for continued improvement and advancement Recognise and apply the International Standards for the Professional Practice of Internal Auditing Become a more competent professional who is knowledgeable in organizational governance

Certificate in Business and Commercial Law (CBCL) Why Attend This course is designed for professionals with little or no prior legal background but who are required to make organizational decisions involving legal matters. It will provide participants with the fundamental principles of commercial law, including commercial contracts and negotiation, sale of goods, intellectual property rights and employee relations. It also covers all the legal aspects of setting up a business, running a business and closing a business Participants will gain an in-depth understanding of international commercial law with emphasis on the common law system. Participants will have the opportunity to learn and analyze key legal issues regarding contracts and the business as a whole which they are likely to encounter within their organization.  Course Methodology In this interactive training course participants will frequently work in pairs as well as in larger groups to complete exercises as well as regional and international case studies. Course Objectives By the end of the course, participants will be able to: Apply legal rules and principles to specific commercial situations through consideration of relevant case law Negotiate commercial contracts complying with commercial and legal requirements Increase profitability within their organization by selecting appropriate methods of distribution of goods Recognize and analyze how intellectual property rights affect their organization Evaluate and modify organizational employment practices complying with labor law requirements Target Audience This course is suitable for those with little or no formal training in commercial law yet would be required to understand the fundamentals of commercial law as it may directly impact their work. It will particularly benefit directors and executives who have direct responsibility for legal decisions within the organization. In-house council new to the region, and those working within a legal department, will also find this course highly beneficial. Target Competencies Drafting Contracts Contract Negotiation Understanding Commercial Terms Understanding Employment Law Implementing Organizational Employment Practices Understanding Intellectual Property Understanding corporate restructuring Understanding the effect of breach of commercial contract terms Note The Dubai Government Legal Affairs Department has introduced a Continuing Legal Professional Development (CLPD) programme to legal consultants authorised to practise through a licensed firm in the Emirate of Dubai. We are proud to announce that the Dubai Government Legal Affairs Department has accredited EMG Associates as a CLPD provider. In addition, all our legal programmes have been approved. This PLUS Specialty Training Legal course qualifies for 4 elective CLPD points. Overview of commercial & business law Areas of commercial and business law Types of commercial contracts Commercial contracts in the civil law and common law systems Sources of English law Civil law v Common law Civil law in the GCC Formalities for a binding contract Elements required for an enforceable contract Rules for contract interpretation implied terms v express terms identifying risks and how to minimise risks Structure of a commercial contract Preliminary documents in international transactions Memorandum of Understanding/ Heads of Terms. Are they legally binding? Commercial implications Boilerplate/ miscellaneous provisions- the important but forgotten clauses- beware! Force majeure v Frustration Notices Set off No waiver Entire Agreement/ non- reliance clause Times is of the essence Assignment v Novation Governing law Common mistakes in choice of law Jurisdiction clause Exclusive v Non-exclusive Factors in deciding the jurisdiction clause International dispute resolution Litigation Importance of Alternative Dispute Resolution (ADR) Arbitration Mediations Conciliation Negotiation Remedies for breach of contract Damages Specific performance Injunctions Advantages and disadvantages of different business forms Types of business vehicles Sole trader Partnerships Limited Liability Partnerships Companies Cross Border Transactions Distributorship Agency Joint Venture Acquisitions Share purchase v Business purchase Apportioning risks and liabilities through warranties and indemnities Negotiating warranties and indemnities Corporate insolvency Tests identifying insolvency Consequence for directors who fail to react to insolvency Types of insolvency Administration Receivership Creditor Voluntary Liquidation Compulsory Liquidation Commercial Tort Tort of negligence Defamation Libel Slander Recent case law on defamation Managing risk Prevention is better than cure: Effective risk management Intellectual Property Rights management Types of Intellectual Property copyright trademark patent design rights confidential information Assignment v Granting a license The law of passing off Intellectual Property in the GCC Employment law issues in the common law systems and the GCC Types of employment contracts Grounds for dismissal Wrongful dismissal Redundancy Unfair dismissal Commercial real estate in the GCC Leasehold Freehold

Lean Six Sigma Black Belt Certification Program: Virtual In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)