1474 Courses in Leicester

Lean Six Sigma Green Belt Certification Program: In-House Training This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps

The aim of this course is to give delegates who have to use full working breathing apparatus during their working activities a greater understanding of correct operational procedures. Book via our website @ ESS | Training Courses | Vp ESS (vp-ess.com) or via email at: esstrainingsales@vpplc.com or phone on: 0800 000 346

Grateful Leadership: In-House Training Effective leaders must find ways to enhance people's level of engagement, commitment, and support, especially during the difficult periods of time that all organizations may face. Grateful leaders can tap into the power of personal commitment and dedication by acknowledging people in an authentic and heartfelt manner. Those leaders who model true acknowledgment behavior will inspire others to do the same and to want to dramatically increase their levels of contribution to the organization, making the power of acknowledgment transformational. What you will Learn You'll learn how to: Understand and develop the capability to act upon the need for Grateful Leadership to create a culture of appreciation in the workplace Understand the potentially huge benefits of Grateful Leadership in the workplace Overcome the barriers to using acknowledgment Demonstrate the language and subtleties of authentic and heartfelt acknowledgement behavior Describe the Seven Principles of Acknowledgment for 'High-Interest Benefits' in the context of participant's personal leadership style Describe how to coach teams, managers, and other corporate stakeholders in using Grateful Leadership to produce breakthrough results Getting Started Introductions Course goals and objectives Introspection on the practice of Grateful Leadership The Workforce Engagement Sustainability Challenge Employees who are engaged, not engaged, and actively disengaged The costs of non-engagement Meeting the workforce engagement challenge Acknowledgment, Engagement, and Leadership Acknowledgment and its benefits Recognition versus acknowledgment 'Challenging people' case study Blanchard, Covey, Keith (Servant Leadership): how acknowledgment fits into these leadership models Leadership and acknowledgment The 5 C's - Consciousness, Courage, Choice, Communication, Commitment Employing the Power of Acknowledgment Overcoming barriers to acknowledgment The Seven High-Interest Benefits Principles of Acknowledgment Exploring the acknowledgment process Applying the Principles of Acknowledgment within the Context of Your Personal Leadership Style Case study The ROI of Grateful Leadership Creating your Grateful Leadership Personal Action Plan™ Creating a Vision Statement for your organization that incorporates Grateful Leadership into your corporate culture The 360° Grateful Leadership Competency Assessment Summary What did we learn, and how can we implement this in our work environments?

FourSquare Training specialise in private, corporate Microsoft Teams courses delivered at your premises and tailored to your needs.

FourSquare Training specialise in private, corporate Power BI courses delivered at your premises and tailored to your needs.

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)

Leading SAFe®: In-House Training During this course, attendees gain the knowledge necessary to lead a Lean-Agile enterprise by using the Scaled Agile Framework® (SAFe®) and its underlying principles derived from Lean, systems thinking, Agile development, product development flow, and DevOps. Participants in the class gain insights into mastering business agility to thrive in competitive markets. They discuss how to establish team and technical agility and organize and re-organize around the flow of value. Attendees also learn and practice the skills to support and execute PI Planning events and coordinate multiple Agile Release Trains (ARTs). Class participants will explore the importance of adopting a customer-centric mindset and Design-Thinking approach to Agile Product Delivery. Learners will also understand how to implement a Lean Portfolio Management function within their enterprise. What you will Learn After attending this class, attendees should be able to: Lead the transformation to business agility with SAFe® Become a Lean-Agile leader Understand customer needs Design Thinking Enable Agile Product delivery Implement Lean Portfolio Management Thrive in the digital age with business agility Become a Lean-Agile leader Establish Team and Technical Agility Build solutions with Agile Product Delivery Explore Lean Portfolio Management Lead the change Become a Certified SAFe® Agilist

SAFe® for Teams: In-House Training Build the skills needed to become a high-performing team member of an Agile Release Train (ART) and learn how to collaborate effectively with other teams by becoming a SAFe® 5 Practitioner (SP). During this course, you will gain an in-depth understanding of the ART, how it delivers value, and what you can do to effectively perform the role using Scrum, Kanban, and Extreme Programming (XP). You will also learn how to write stories and break down features, plan and execute iterations, and plan Program Increments. Finally, you'll learn about the continuous delivery pipeline and DevOps culture, how to effectively integrate with other teams in the program, and what it takes to continuously improve the train. What you will Learn To perform the role of a SAFe® Practitioner, you should be able to: Apply SAFe® to scale Lean and Agile development in their enterprise Know their team and its role on the Agile Release Train Know all other teams on the train, their roles, and the dependencies between the teams Plan Iterations Execute Iterations and demonstrate value Plan Program Increments Integrate and work with other teams on the train Introducing the Scaled Agile Framework® (SAFe®) Building an Agile Team Planning the Iteration Executing the Iteration Executing the Program Increment Practicing SAFe®

SAFe® DevOps: In-House Training This course provides a comprehensive overview for understanding the DevOps skills needed to accelerate time-to-market by improving the flow of value through the Continuous Delivery Pipeline. You will map the current value stream through the delivery pipeline from idea to cash and identify practices that will eliminate bottlenecks to flow. The course will build an understanding of the complete flow of value from Continuous Exploration to Continuous Integration, Continuous Deployment, and Release on Demand. What you will Learn After attending the class, attendees should be able to: Explain how DevOps enables strategic business objectives Apply a CALMR approach to DevOps to avoid automating broken processes Understand how successful DevOps requires continuous exploration, continuous integration, continuous deployment, and the ability to release to end users on demand Incorporate continuous testing and continuous security into the delivery pipeline Use value-stream mapping to measure flow and identify bottlenecks in the end-to-end delivery process Select DevOps skills and tools strategically for the fastest, most compelling results Prioritize DevOps solutions and investments for the greatest economic benefit Design and implement a multi-phased DevOps transformation plan tailored to their organization Work with all roles and levels in the organization to continually optimize the value stream Introducing DevOps Mapping your Continuous Delivery Pipeline Gaining alignment with Continuous Exploration Building quality with Continuous Integration Reducing time-to-market with Continuous Deployment Delivering Business Value with Release on Demand Taking action

SAFe® Agile Software Engineering: In-House Training The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality