6945 Courses in Liverpool delivered Live Online

Have you heard of Q fever? Join this free informative session about the disease and how it impacts herds and flocks in the UK. We will share our findings and bring forward case information, where herds have been impacted by the disease and are now beginning to take control of the disease through a number of steps, including vaccination and biosecurity measures. Q Fever is a disease caused by infection with the bacterium Coxiella burnetii, which can infect cattle, goats, sheep and many other mammals. Studies on the UK cattle herd indicate that Q fever is highly prevalent. Q fever is zoonotic, with those people in direct contact with ruminants at most risk – This will be a great opportunity for those working with livestock or going onto farms, to get the answers to the many questions that this disease raises. Join us for a free webinar to explore the disease behind the “silent troublemaker” that is Coxiella burnetii. Find out how Q-Fever can affect your flock, cattle or goat herds, and some of the challenges with diagnosis and management. Your speakers We are delighted to be joined by our expert guest speakers to share their insights and experiences. Prof Jonathan Statham, MA VetMB DCHP FRCVS. RCVS Recognised Specialist in Cattle Health of Bishopton Farm Vets & chair of AHWBE Jonathan graduated from Cambridge Veterinary School in 1996. He is a cattle vet, partner & chair of Bishopton Veterinary Group, a 40 vet practice in Ripon, North Yorkshire (a member of XL Vets) and is director and Chief Executive of RAFT Solutions Ltd (an innovative veterinary research, consultancy and knowledge exchange company). He is past-president of the British Cattle Veterinary Association (BCVA) and the Yorkshire Veterinary Society and has sat on the GB ‘Cattle Health & Welfare Group’ (CHAWG), GB ‘Sheep Health & Welfare Group’ (SHAWG), the Veterinary Policy Group (VPG) of the British Veterinary Association (BVA) and is a past director of Cattle Health Certification Standards (CHeCS) and member of the ‘Farmskills’ Steering Group. He is an examiner for the University of Liverpool, member of the Royal College of Veterinary Surgeons (RCVS) Advanced Practitioner Panel, a member of the Nottingham Dairy Innovation Forum, the International Embryo Transfer Society & served on the Veterinary Residues & Products Committees (VRC & VPC) of the Veterinary Medicines Directorate (VMD). He currently sits on UK Animal Science Advisory Board (ASAB) Knowledge Transfer Network (KTN), is a fellow of Askham Bryan College & is a non-executive director of the Animal Health & Welfare Board of England (AHWBE). Main veterinary interests include reproductive technologies, nutrition, mastitis control and progressive herd health & production management. He has published a wide range of papers, articles and book chapters and is a co-author of textbook ‘Dairy Herd Health’. He holds the Royal College of Veterinary Surgeons (RCVS) Diploma in Cattle Health & Production, is a RCVS recognised specialist in Cattle Health & Production and was named UK Dairy Vet of the year 2015. He became visiting Professor of Sustainable Livestock Health & Welfare at Harper-Keele Veterinary School, Institute of Sustainable Health & Welfare (InSHAW) in 2020. Katherine Timms, BVetMed (Hons), MRCVS. Ruminant Veterinary Advisor, Ceva Animal Health Katherine grew up in Leicestershire and went to the Royal Veterinary College, graduating with honours in 2007 before working in mixed practices in the Midlands with dairy, beef and equine clients. Katherine has a busy home life being married to a beef and sheep farmer with three children and having an active involvement in rural life. Katherine joined Ceva Animal Health in 2014 as part of the technical team, covering the UK in the role of veterinary advisor for the ruminant part of the business. Registrations are open to vets, farmers, SQP’s and those in farm supporting roles. Time permitting, the webinar will finish with a brief Q&A session.

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)

Duration 5 Days 30 CPD hours This course is intended for The CCSP is ideal for IT and information security leaders responsible for applying best practices to cloud security architecture, design, operations and service orchestration. Overview Upon completing this course, the participants will gain valuable knowledge and skills including the ability to: - Successfully pass the CCSP exam. - Understand the fundamentals of the cloud computing architecture framework. - Understand security challenges associated with different types of cloud services. - Identify and evaluate security risks for their organization?s cloud environments. - Select and implement appropriate controls to ensure secure implementation of cloud services. - Thoroughly understand the 6 essential core domains of the CCSP common body of knowledge: 1. Architectural Concepts & Design Requirements 2. Cloud Data Security 3. Cloud Platform & Infrastructure Security 4. Cloud Application Security 5. Operations 6. Legal & Compliance The goal of the course is to prepare professionals for the challenging CCSP exam by covering the objectives of the exam based on the six domains as defined in the (ISC)2 CCSP common body of knowledge. 1 - Architectural Concepts and Design Requirements Cloud Computing Concepts Cloud Reference Architecture Cloud Computing Security Concepts Design Principles of Secure Cloud Computing Trusted Cloud Services 2 - Cloud Data Security CSA (Cloud Security Alliance) Cloud Data Lifecycle Cloud Data Storage Architectures Data Security Strategies Data Discovery and Classification Technologies Protecting Privacy and PII (Personally Identifiable Information) Data Rights Management Data Retention, Deletion, and Archiving Policies Auditability, Traceability, and Accountability of Data Events 3 - Cloud Platform and Infrastructure Security Cloud Infrastructure Components Cloud Infrastructure Risks Designing and Planning Security Controls Disaster Recovery and Business Continuity Management 4 - Cloud Application Security The Need for Security Awareness and Training in application Security Cloud Software Assurance and Validation Verified Secure Software SDLC (Software Development Life Cycle) Process Secure SDLC Specifics of Cloud Application Architecture Secure IAM (Identity and Access Management) Solutions 5 - Operations Planning Process for the Data Center Design Installation and Configuration of Physical Infrastructure for Cloud Environment Running Physical Infrastructure for Cloud Environment Managing Physical Infrastructure for Cloud Environment Installation and Configuration of Logical Infrastructure for Cloud Environment Running Logical Infrastructure for Cloud Environment Managing Logical Infrastructure for Cloud Environment Compliance with Regulations and Controls Risk Assessment for Logical and Physical Infrastructure Collection, Acquisition, and Preservation of Digital Evidence Managing Communication with Stakeholders 6 - Legal and Compliance Legal Requirements and Unique Risks within the Cloud Environment Relevant Privacy and PII Laws and Regulations Audit Process, Methodologies, and Required Adaptions for a Cloud Environment Implications of Cloud to Enterprise Risk Management Outsourcing and Cloud Contract Design Vendor Management

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.

This workshop covers the five main types of payment for exports, from advance payment to open account. It includes the use of Bills of Exchange with and without documents

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This Level 3 Apprenticeship has been designed for individuals wishing to start or advance their skills in first-line management, and will equip them with the knowledge and understanding needed to effectively provide direction, instructions and guidance to ensure the achievement of set goals.

Learners will be introduced to Voice Alarm (VA) systems as part of the fire alarm solutions.

CPD certified, digital study session, 24-hour postural care training, learning new ways to bring excellence to 24-postural care, focussing on supported lying.

This programme will guide your team of up to 12 people toward delegating more effectively. The 3 part series of digital self-paced and instructor-led content explores how you can utilise practical frameworks to elevate productivity and performance. By identifying the styles of delegation that are commonly used, you will create an optimal strategy for successful delegation. During the facilitated live session there will be the opportunity to share best practice and discuss planned application to your role.