29398 Courses

A practical and inspiring women’s development coaching workshop giving you time to reflect and focus on yourself and what’s important to you.

Free online MS Awareness training session for social prescribing services

Certified Scrum Professional®-ScrumMaster® (CSP®-SM): In-House Training Certified Scrum Professionals challenge their teams to improve the way Scrum and Agile principles are applied. They have demonstrated experience, documented training, and proven knowledge in Scrum. Are you ready to take your knowledge and skillset in your role as Scrum Master to the next level? If so, it's time to elevate your career further by earning the Certified Scrum Professional®-ScrumMaster (CSP®-SM) certification. What you will Learn Learn to find practical solutions and improve your implementation of Scrum in the workplace. Aside from the pride gained and earning potential of attaining CSP® level, you can also: Attend exclusive CSP® events with other leaders in Scrum and Agile Attract more recruiters and command a higher rate of pay Establish a gateway and milestone toward becoming CST®, CEC, or CTC Receive a free premium subscription to the world's largest Agile assessment and continuous improvement platform, Comparative Agility®

Furniture design face to face training customised and bespoke.

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)

Embark on a culinary journey that ensures safety and satisfaction for every diner with our 'Food Allergen, Food Safeguarding and Kitchen Management Course'. Uncover the essentials of food allergens, understanding not only their basics but also their profound impact on consumers. With a dedicated focus on guidance for both food businesses and everyday consumers, this course bridges the gap between the kitchen and the dining table. Equip yourself with knowledge on allergic reactions and their respective treatments to ensure a holistic dining experience for all. Learning Outcomes Recognise and categorise various food allergens prevalent in cuisines. Provide informed guidance to food businesses regarding allergen management. Advise consumers on precautions and selections related to food allergens. Identify symptoms of allergic reactions and recommend appropriate treatments. Develop and maintain an allergen-aware kitchen environment. Why choose this Food Allergen, Food Safeguarding and Kitchen Management Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Food Allergen, Food Safeguarding and Kitchen Management Course Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Food Allergen, Food Safeguarding and Kitchen Management Course for? Restaurateurs and café owners aiming to cater to a wider clientele. Chefs and kitchen staff dedicated to crafting allergen-safe dishes. Food inspectors and health officers overseeing food safety standards. Nutritionists and dieticians advising clients on dietary choices. Enthusiastic home cooks looking to ensure the safety of their dishes. Career path Chef: £18,000 - £50,000 Restaurant Manager: £20,000 - £40,000 Food Safety Officer: £25,000 - £50,000 Nutritionist: £22,000 - £45,000 Kitchen Supervisor: £18,000 - £30,000 Dietician: £23,000 - £50,000 Prerequisites This Food Allergen, Food Safeguarding and Kitchen Management Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Food Allergen, Food Safeguarding and Kitchen Management Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Food Allergen, Food Safeguarding and Kitchen Management Course Module 01: Basics of Food Allergens 00:16:00 Module 02: Allergen Guidance for Food Businesses 00:24:00 Module 03: Allergen Guidance for Consumers 00:17:00 Module 04: Allergic Reactions and Treatments 00:23:00

Automatic transmission cars are growing in popularity in the UK. Without the constant need to change gears, you'll find driving in heavy, downtown traffic a much smoother and easier experience. And with less to do, you'll also have more opportunity to focus on the road and drive safely. With both male and female instructors available, we provide friendly, stress-free and professional tuition for automatic cars. Intensive courses and block bookings available throughout South Lanarkshire.

Join the Scrum.org accredited Live Virtual Class - Professional Scrum Product Owner I™ training (PSPO) to master the fundamentals of Product Ownership. Learn how to take your understanding of Scrum frameworks and apply it to maximise product value. Course Description The Professional Scrum Product Owner (PSPO) course goes beyond requirement writing and Product Backlog management. It equips Product Owners with a comprehensive understanding of product management needed to drive value from their products. The PSPO course is Scrum.org certified and delivered by our professional Scrum trainers. We combine real world industry experience with a hands-on practical approach, the result of which is a 98% first-time pass rate. Say goodbye to PowerPoint and join our interactive PSPO training course to gain key practical skillsets and learn how how to implement frameworks immediately to deliver tangibel results. Embrace a product-focused mindset over project-oriented thinking. Bridge business strategy to product execution with Scrum. Recognise the Product Owner's role as an Agile Product Manager. Master Scrum Principles and Empiricism. Understand Product Owner responsibilities within the Scrum Team. Align the team with business strategy, product vision, Product Goal, and Sprint Goal. Communicate business strategy, product vision, and Product Goal effectively. Learn techniques for Product Backlog Management, Release Management, and Forecasting. Identify valuable metrics for tracking value creation and successful product delivery. Employ techniques to engage stakeholders, customers, and Scrum Team members effectively. Why Train With Us? Develop and solidify your knowledge of the Scrum Framework and the accountabilities of being a product owner with our immersive two-day online PSPO course through instruction and team-based exercises. Led by experienced industry professionals and supportive Professional Scrum Trainers & Product Owners, we go beyond powerpoint to offer engaging, hands-on learning experiences. From debunking myths to empowering your Scrum Teams with the right practices, we'll be with you every step of the way - from learning to passing the test and implementing it seamlessly into your job context. Who Should Attend This Course? Ideal for students across industries dealing with complex problem-solving, the Professional Scrum Product Owner course targets three key groups: Aspiring Product Owners seeking to start their career in the field. Experienced Product Owners aiming to enhance their understanding and address misconceptions about Scrum and the Product Owner role. Scrum Masters desiring to become effective coaches for Product Owners, gaining valuable insights from the course. Your Professional Scrum Trainer Meet Jay, founder of Fractal Systems and a dedicated Professional Scrum Trainer. With over 20 years of experience in team and leadership roles, Jay is well-versed in delivering continuous value. His unique teaching approach involves zero PowerPoint and instead relies on engaging, experience-based sessions using techniques from Liberating Structures and Neuro Linguistic Programming. Jay's expertise lies in business transformations, offering training, mentoring, coaching, and consulting to foster success through collaborative efforts. Rapid learning and practical application are the hallmarks of his approach. Jay & the entire Fractal team are invested in your learning journey and are here to support you from start to end, including offering additional valuable support: Free practice assessments for certification success Free resource bundle to master Scrum Free exam revision sheets Free access to an exam simulator Free exam coaching sessions for first-time success Free 1:1 coaching to excel at work Our Clients Our Testimonials

RF fundamentals training course description Radio Frequency engineering is an important yet often overlooked area in today's wireless world. This course provides a grounding in RF theory and practice for wireless, cellular and microwave systems. What will you learn Explain the basics of RF. Describe RF propagation and antenna principles. Calculate propagation losses and link budgets. Test RF systems. RF fundamentals training course details Who will benefit: Those working with wireless, cellular and microwave systems. Prerequisites: None. Duration 2 days RF fundamentals training course contents What is RF? Definition of RF, RF wave characteristics: Frequency, wavelength, power, phase, impedance, RF history, radio signals, frequency bands, safety issues, legal issues. RF systems Microwaves, cellular/mobile RF, WLANs, other fixed wireless networks, basic RF components. Hands on Building a basic WLAN network. RF system components Transmitters: Antennas: Isotropic, Dipole, how antennas achieve gain. Modulation Schemes, bandwidth, AM, FM, FSK, PSK, QAM, QPSK, interference, performance. Hands on Interference and performance. Multiple access schemes FDMA, CDMA, TDMA, CSMA/CA. Wireless systems Cellular (GSM, UMTS), Wifi, WiMax, others: GPS, DBS, RFID, radar, Bluetooth. Hands on cellular. Spread Spectrum technologies Spread spectrum benefits and disadvantages, how it works, Direct Sequence, Frequency Hopping, hybrids. RF propagation Models, link budget, Smith chart, RF matching with the Smith chart. cell capacity, tradeoffs: power vs. bandwidth, free space, reflection, diffraction, multipath cancellation, propagation prediction and measurement tools. Hands on Smith charts. RF testing Why power rather than voltage/current, units of power, dB and dBm power conversions. Test equipment: signal generators, power meters, network analysers, spectrum analysers. RF test setups: return loss, insertion loss. Hands on RF testing.