2382 Courses

Business Process Modeling This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP®). Learn more at www.iil.com/bacp A process model is a description of a process in terms of its steps or actions, the data flowing between them and participants in the process, machines, systems, and organizations involved. Modeling is a critical business analysis skill. It applies graphical and text communication techniques to describe the actions, objects, and relationships acted upon in the process and the steps that act upon them. This course teaches the technique of process modeling and ties together the core methods of process, behavior, and data modeling to enable business analysts to fully describe business processes in levels of detail from multiple perspectives. What you will Learn Upon completion, participants will be able to: Identify business processes and their components Work with UML diagrams Use process modeling in business diagramming Diagram and model business processes Foundation Concepts The role of the business analyst The IIBA® BABOK® Knowledge Areas Business Process Modeling (BPM) and the business analyst A practical approach to business process modeling The Context for Modeling Business Processes Overview of context for business process modeling Analyzing stakeholder information Modeling best practices Critical inputs for BPM: Business Rules Critical inputs for BPM: Context Diagrams Data Models Overview of data modeling Entity relationship diagrams Object-oriented approach Class diagrams Other data models Process Models - Part I (Non-UML) Overview of process modeling Data flow diagrams Workflow diagrams Flowcharts Process Models - Part II (UML) Overview of UML Process Models UML Activity Diagrams UML Sequence Diagrams Usage Models - Part I (Non-UML) Overview of usage modeling Prototyping options Static prototyping and storyboards Dynamic prototyping User Interface Design and user stories Usage Models - Part II (UML Use Cases) Overview of Use Cases Use Case diagrams Use Case descriptions Use Cases and the product life cycle Integrating the Models Overview of integrating the models General analysis best practices Specific analysis techniques summary Best practices for transition to design Summary and Next Steps What did we learn and how can we implement this in our work environments?

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)

Business Analysis Fundamentals: In-House Training This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals to pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP™). This course teaches participants the overall process of business analysis and where it fits in the bigger picture of the project life cycle and the business context. The course is interactive and combines discussion, active workshops, and demonstrations of techniques. The goal is bottom-line results that cut through the real-world problems facing people seeking to improve the way they operate to develop new and improved systems and products or otherwise deliver results through project performance. What you will Learn At the end of this program, you will be able to: Define the solution scope Work with the development team in the systems testing stage Ensure the solution is usable in the business environment Foundation Concepts Defining the business analyst (BA) function The role of the BA as change agent An introduction to the BABOK® Guide BA roles and relationships through the project life cycle (PLC) Business Analysis Planning and Monitoring Overview of business analysis planning and monitoring (BAP&M) Business analysis planning and monitoring - process and tools Business analysis planning and monitoring - roles and responsibilities Business analysis planning and monitoring - governance, information management, and performance improvement Elicitation and Collaboration Overview of elicitation and collaboration Elicitation and collaboration techniques Requirements Life Cycle Management Overview of requirements life cycle management Requirements life cycle management task details Strategy Analysis Overview of strategy analysis Analyze current state Define future state Assess risks Define change strategy Requirements Analysis and Design Definition Overview of requirements analysis and design definition (RA&DD) The anatomy of requirements RA&DD task descriptions RA&DD techniques Solution Evaluation Overview of solution evaluation Solution evaluation tasks Solution evaluation in development stages Underlying Competencies Overview of underlying competencies (UC) Underlying competencies

Management of Risk (M_o_R®) Practitioner The M_o_R® Practitioner course has been designed to provide learners with the opportunity to practice the practical application of the M_o_R method and covers the twelve M_o_R principles: Approach, Process and the basic techniques essential to managing risks using the M_o_R guidance. The purpose of the M_o_R Practitioner qualification is to confirm that the learner has achieved sufficient understanding of how to apply and tailor M_o_R in a scenario situation. What you will Learn At the end of the M_o_R Practitioner course, learners will gain competencies in: M_o_R framework (principles, approach based on risk documentation, process steps, and embedding and reviewing M_o_R principles Outline of M_o_R approach documents (including policy, process guide, and risk communications plan) Risk identification, assessment, and control Embedding and reviewing M_o_R M_o_R organizational perspectives (strategic, program, project, operational) Benefits The M_o_R Practitioner course offers a wide-ranging set of guidelines that will help in the management of risk in a project or program environment. It will help prepare learners for the M_o_R Practitioner Exam. They will feel more confident in approaching risk management after attending the course and will be aware of the use of different techniques that can assist in this task, including: Improved basis for effective strategy formation Reduced time spent fire-fighting and fewer unwelcome surprises Increased likelihood of successful change initiative outcomes Closer internal focus on doing the right things properly Increase in efficient use of resources waste and fraud Better management of contingency resources M_o_R roles and responsibilities M_o_R health check M_o_R maturity model Risk specialisms (including business continuity management) Introduction Introduction to the course What is a risk? What is risk management? Why is risk management so important? Basic risk definitions The development of knowledge about risk management Corporate governance and internal control Where and when should risk management be applied? M_o_R Principles The purpose of M_o_R principles Aligns with objectives Fits the context Engages stakeholders Provides clear guidance Informs decision-making Facilitates continual improvement Creates a supportive culture Achieves measurable value Risk management maturity models M_o_R Approach Relationship between the documents Risk management policy Risk management process guide Risk management strategy Risk register Issue register Risk response plan Risk improvement plan Risk communications plan M_o_R Process Common process barriers Identify - contexts Identify - the risks Assess - estimate Assess - evaluate Plan Implement Communication throughout the process M_o_R Perspectives Strategic perspective Programme perspective Project perspective Operational perspective Risk Specialisms Business continuity management Incident and crisis management Health and Safety management Financial risk management Environmental risk management Reputational risk management Contract risk management

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Management of Risk (M_o_R®) Practitioner: In-House Training The M_o_R® Practitioner course has been designed to provide learners with the opportunity to practice the practical application of the M_o_R method and covers the twelve M_o_R principles: Approach, Process and the basic techniques essential to managing risks using the M_o_R guidance. The purpose of the M_o_R Practitioner qualification is to confirm that the learner has achieved sufficient understanding of how to apply and tailor M_o_R in a scenario situation. What you will Learn At the end of the M_o_R Practitioner course, learners will gain competencies in: M_o_R framework (principles, approach based on risk documentation, process steps, and embedding and reviewing M_o_R principles Outline of M_o_R approach documents (including policy, process guide, and risk communications plan) Risk identification, assessment, and control Embedding and reviewing M_o_R M_o_R organizational perspectives (strategic, program, project, operational) Benefits The M_o_R Practitioner course offers a wide-ranging set of guidelines that will help in the management of risk in a project or program environment. It will help prepare learners for the M_o_R Practitioner Exam. They will feel more confident in approaching risk management after attending the course and will be aware of the use of different techniques that can assist in this task, including: Improved basis for effective strategy formation Reduced time spent fire-fighting and fewer unwelcome surprises Increased likelihood of successful change initiative outcomes Closer internal focus on doing the right things properly Increase in efficient use of resources waste and fraud Better management of contingency resources M_o_R roles and responsibilities M_o_R health check M_o_R maturity model Risk specialisms (including business continuity management) Introduction Introduction to the course What is a risk? What is risk management? Why is risk management so important? Basic risk definitions The development of knowledge about risk management Corporate governance and internal control Where and when should risk management be applied? M_o_R Principles The purpose of M_o_R principles Aligns with objectives Fits the context Engages stakeholders Provides clear guidance Informs decision-making Facilitates continual improvement Creates a supportive culture Achieves measurable value Risk management maturity models M_o_R Approach Relationship between the documents Risk management policy Risk management process guide Risk management strategy Risk register Issue register Risk response plan Risk improvement plan Risk communications plan M_o_R Process Common process barriers Identify - contexts Identify - the risks Assess - estimate Assess - evaluate Plan Implement Communication throughout the process M_o_R Perspectives Strategic perspective Programme perspective Project perspective Operational perspective Risk Specialisms Business continuity management Incident and crisis management Health and Safety management Financial risk management Environmental risk management Reputational risk management Contract risk management

Coverage of key areas from the Higher Maths course, exam technique and knowledge consolidation with a range of tutorial and revision exercises using past paper questions Easter Revision Classes During the Easter Revision courses students can expect:​ Re-teaching and revised, in-depth coverage of the most pertinent key areas of SQA National 5 and Higher Maths, English, Biology, Chemistry, Physics and Spanish. A fully qualified and GTCS registered teacher within Saturday School Limited’s SQA Approved Centre. Tutorial style completion of exam standard questions and analysis of the worked solutions by application of the SQA marking instructions. Focus on further developing exam technique, knowledge consolidation and problem solving skills. Subsequent ongoing support online, seven days per week, from expert tutors via a secure, online learning platform. This gives students the opportunity to ask questions, seek support and download from Saturday School Limited’s bank of learning materials all the way through to the final exam. All stationery and learning materials. A half-hour break with snacks and refreshments provided. Easter Revision classes are aimed at anyone studying SQA National 5 or Higher Biology, Chemistry, English, Human Biology, Maths, Physics or Spanish. 

Business Process Modeling: In-House Training This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP®). Learn more at www.iil.com/bacp A process model is a description of a process in terms of its steps or actions, the data flowing between them and participants in the process, machines, systems, and organizations involved. Modeling is a critical business analysis skill. It applies graphical and text communication techniques to describe the actions, objects, and relationships acted upon in the process and the steps that act upon them. This course teaches the technique of process modeling and ties together the core methods of process, behavior, and data modeling to enable business analysts to fully describe business processes in levels of detail from multiple perspectives. What you will Learn Upon completion, participants will be able to: Identify business processes and their components Work with UML diagrams Use process modeling in business diagramming Diagram and model business processes Foundation Concepts The role of the business analyst The IIBA® BABOK® Knowledge Areas Business Process Modeling (BPM) and the business analyst A practical approach to business process modeling The Context for Modeling Business Processes Overview of context for business process modeling Analyzing stakeholder information Modeling best practices Critical inputs for BPM: Business Rules Critical inputs for BPM: Context Diagrams Data Models Overview of data modeling Entity relationship diagrams Object-oriented approach Class diagrams Other data models Process Models - Part I (Non-UML) Overview of process modeling Data flow diagrams Workflow diagrams Flowcharts Process Models - Part II (UML) Overview of UML Process Models UML Activity Diagrams UML Sequence Diagrams Usage Models - Part I (Non-UML) Overview of usage modeling Prototyping options Static prototyping and storyboards Dynamic prototyping User Interface Design and user stories Usage Models - Part II (UML Use Cases) Overview of Use Cases Use Case diagrams Use Case descriptions Use Cases and the product life cycle Integrating the Models Overview of integrating the models General analysis best practices Specific analysis techniques summary Best practices for transition to design Summary and Next Steps What did we learn and how can we implement this in our work environments?

BTST Academy are proud to host this amazing 1x day manual therapy CPD course covering patient assessment, treatment and rehabilitation for the Shoulder with Osteopath Becky Tyler and in association with Rehab my Patient Focusing on anatomy and biomechanics of the shoulder in order to enable the therapist to fully grasp the concept and mechanism of the most common injuries and dysfunctions seen in clinic. Critical factors related to each joint pathophysiology including injury repair and healing time will also be addressed along with proven strategies of treatment and exercise rehabilitation prescription to enable you as the therapist to feel confident in all aspects of your patients treatment. The process of examination, evaluation, diagnosis & prognosis for disorders of the shoulder will be explored in detail with a nice mix of Theory and Practical delivery. Venue BTST Academy & Clinic, Holly Farm, Clipstone Road, Edwinstowe, Nottingham, NG21 9JD Course Price £175 Tutor Becky Tyler BOst, PGCertSPOP, DipSMT Conditions covered: Common injuries and dysfunctions covered include; Shoulder Impingement ACJ Osteoarthritis Rotator Cuff Pathologies Frozen Shoulder Dislocations Labral Tear Biceps Tendinopathy ACJ Separation And more Rehab Exercises; During the course a 5x step approach to rehabilitation will be covered with example exercises to help you get your patients moving again. T&Cs Deposit: Payment in full required at time of booking Entrance requirements: Must be a qualified manual therapist such as an; Osteopath, Physiotherapist, Chiropractor, Sports Therapist, Sports Massage Therapist Etc. We may ask you to provide a copy of your qualification. Course Terms & Conditions & Cancellation Policy Click here for the terms and conditions.

Who is this course suitable for? Required to undertake asbestos fibre counting as part of their work Considering a career in asbestos analysis Responsible for managing asbestos analysts Prior Knowledge and Understanding Candidates for this course are expected to be aware of HSG 248 Asbestos: The Analysts' Guide (July 2021), and in particular Appendix 1, Fibres in air: sampling and evaluation of by phase contrast microscopy. Candidates will preferably have prior experience of analysing fibre count samples and may already be participating in a quality control scheme. In addition, candidates are expected to have had training to cover the core competencies outlined within the foundation material detailed within Table A9.1 of HSG248 Asbestos: The Analysts' Guide (July 2021). This may be achieved by In -house learning or through the P400 foundation module.