65655 Courses

Join the crafty fun at Stitching Kitchen for a machine Applique workshop, we will use a range of fabrics and embellishments to create a textured picture using a sea scape as inspiration.

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)

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)

In January 2024 alone, reports were published about the SRA taking enforcement action against 3 firms and 4 individuals for failure to comply with the Money Laundering Regulations 2017. The fines issued for these non-compliances total over £570,000 plus costs. The absence of staff training, or requirement to complete additional training, was noted in a number of these cases. As a manager of a law firm, or more crucially an MLRO or MLCO, the ultimate responsibility for the firm's compliance, including with the MLR 2017, lies with you. It is your responsibility to ensure that the firm puts in place, reviews and updates compliant policies, controls and procedures. You must ensure that the firm maintains an up to date practice wide risk assessment. You are required to ensure that your employees are regularly given training on the MLR 2017 and associated risks. If a breach occurs, the SRA will take a wider look at the firm and identify any supervisory deficiencies that may have contributed to failures by fee earners or support staff. It has proven that it will not shy away from holding to account managers, compliance officers and MLRO/MLCOs for failures by their firms to comply with requirements of the MLR 2017. This course will cover the following to assist firms MLROs, MLCOs and Management with fulfilling their AML management responsibilities: How to comply with your obligations and stay compliant FWRA – linked with PCPs Mandatory AML Policies and Procedures - SRA have concerns Training and supervising staff Audits SRA requirements Reporting SARS POCA/TA Fulfilling reporting officer and compliance officer duties Target Audience The online course is suitable for MLROs, MLCOs, firm management and those supporting these roles. Resources Comprehensive and up to date course notes will be provided to all delegates which may be useful for ongoing reference or cascade training. Please note a recording of the course will not be made available. Speaker Helen Torresi, Consultant, DG Legal Helen is a qualified solicitor with a diverse professional background spanning leadership roles in both the legal and tech/corporate sectors. Throughout her career, she has held key positions such as COLP, HOLP, MLCO, MLRO and DPO for law firms and various regulated businesses and services. Helen’s specialised areas encompass AML, complaint and firm negligence handling, DPA compliance, file review and auditing, law management, and operational effectiveness in law firms, particularly in conveyancing (CQS).

A fabric manipulation and constructed textiles workshop, for Teachers of GCSE & A Level Textiles, for both Art & Design and Design & Technology.

https://www.optima-ect.com/fast-track-course

Course Introduction Our Venepuncture and Phlebotomy training equips delegates with the skills and knowledge needed to take blood safely. Please note: this course is for health care professionals and nurses only. About this event Applicable to Nurses, Health Care Assistants and Phlebotomists in primary care, the community, hospitals or nursing homes, this course is interactive and involves a demonstration session on performing blood tests. Our venepuncture training will give delegates the theoretical and practical awareness to undertake a competence assessment framework in the workplace that will deem them competent to take blood safely and appropriately. Each delegate will receive a competence-based framework to allow them to do this. Course Aims Identify and describe equipment used for routine venepuncture Be able to assess and select suitable sites used for venepuncture as well as locations to avoid Describe and utilize the required steps to perform routine venepuncture Describe actions that ensure safety during performance of a venepuncture Identify suitable vein selection and identify factors influencing this Understand relevant professional and legal issues Be able to identify potential complications Understand anatomy and physiology and correct vein selection Be familiar with equipment and exercise choice in using most appropriate equipment Practice safely in terms of infection control and waste management Become skilled and competent at phlebotomy To recognise any complications arising and be able to take the appropriate action Course Content Background and importance of training and competence Supervision and practice Scope and responsibilities Accountability Professional and legal issues Consent and capacity What is phlebotomy? Tools of the trade-equipment Needles and patient safety Blood collection systems and devices Syringes and when to use them Blood collection tubes Labelling Anatomy and physiology Vein Selection: - Identification of Veins - Arm Veins - Hand Veins Vein assessment Unacceptable sites for venous collection Venepuncture procedure Attempts Order of Fill Specimen collection procedures Specimen handling post-phlebotomy Personal protective equipment Needle stick injuries Legislation-EU Directives Disposal Needle phobias Dealing with anxiety/fainting etc. Practical session Potential Complications (including infection control) Practical Application - techniques and troubleshooting Case scenarios Troubleshooting Audit Who should attend / would be applicable? Nurses HCAs Those interested in careers as Phlebotomists AB Health Group awards CPD points / certificate of attendance for each course. If you would prefer an accredited certificate by our accrediting body Aim Qualifications we can organise this. The charge for the certificate including postage is £30.00+VAT Annie Barr AB Health Group Organiser Description Annie Barr is a leading provider of high quality, accredited healthcare training. With a selection of engaging healthcare training that has been developed by experts to equip you and your workforce with the skills, knowledge and competence needed to provide compassionate and high quality care.

OOAD training course description A workshop course providing thorough practical knowledge of object oriented analysis and design methods. What will you learn Perform Systems Analysis with Object Oriented methods. Identify key classes and objects. Expand and refine OO problem domain models. Design Class hierarchies using inheritance and polymorphism. Design programs with Object Oriented methods. OOAD training course details Who will benefit: System analysts, designers, programmers and project managers. Prerequisites: It is desirable that delegates have experience of programming in C++/Java or some other OOP language. Duration 5 days OOAD training course contents What is OO? Classes, objects, messages, encapsulation, associations, inheritance, polymorphism, reusability. What is Systems Analysis and design? Data flow diagrams, structure diagrams. The OO approach. OOA The problem domain and object modelling. Identifying classes and objects. Generalisation and inheritance. Defining attributes and methods. OOD Refining the OOA results. Designing the User Interface. Designing the algorithms and data structures using objects. Designing the methods. OOP Prototyping. Implementing OOD with OOPs and OOPLs.

An Experiential Introduction to Internal Family Systems (IFS) Two Morning Workshop for Therapists, Counsellors, and Psychologists Facilitated by Dr Helen Barrett and Dr Hannah Brownlee, Clinical Psychologists Are you curious about Internal Family Systems (IFS) and how it can deepen your understanding of yourself and your clients? You're in the right place. IFS is a powerful, compassionate model for working with distress, trauma, and the full complexity of human experience. This two-morning experiential workshop offers an accessible and nourishing introduction to IFS through the lens of personal exploration. You will be guided to: Understand the foundations of the IFS model and parts work Begin identifying and connecting with parts of your own internal system Cultivate compassion and curiosity towards your parts, including those that feel stuck, critical, or in pain Reflect on how transformation and healing can emerge from within This is not just a theoretical introduction—it is a space to experience the model for yourself, in a safe, supported environment. Through gentle guided exercises and shared reflection, you will begin to develop a more spacious and compassionate relationship with yourself. Crucially: all parts of you are welcome and will be held with warmth and compassion. This workshop is facilitated by Dr Helen Barrett and Dr Hannah Brownlee, Specialist Clinical Psychologists with over 10 years of experience supporting individuals with complex trauma and emotional distress.

Learn to make your first crochet garment - this simple boxy cardigan is right on trend and made from chunky yarn which crochets quickly.