2686 GRE courses

The aim of this course is to ensure that the individual driver will have a greater understanding of the complexities of the regulations and enable him to plan and ensure action is taken to prevent non-compliance with the regulations. What's included? Access to course materials. A hard copy is provided on arrival. Driver CPC Approved: 7hrs Free parking, lunch & refreshments Courses Details Location: H-TEC Group, Unit 8 Horsepool Grange, Elliotts Lane, Stanton Under Bardon, Markfield, Leicestershire, LE67 9TW Schedule: Courses run from 09:00 to 16:00. Please review our training terms and conditions.

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Ideal for those wanting a completely practical Hair Cutting and Colouring Course. You’ll learn the 9 Alan d foundation haircuts along with finishing techniques, shampooing, cutting, styling, blow-drying, client care and salon protocol. After 4 weeks (20 days), you will then move on to a 4 week (20 days) colour class covering basic product knowledge, root coverage, full-head colour, foils, meche & Balayage. You will be taught on both dummy heads & live models.

Course Overview Lean Six Sigma is a proven combination of tools and techniques that has been used by leading organizations to improve efficiency, productivity and customer satisfaction. It achieves this by providing a rigorous and structured methodology and team approach to problem solving which leads to quality and performance improvements. Our Lean Six Sigma Green Belt training is a seven-day programme which includes an in-house project designed to provide participants with an understanding of the Six Sigma Green Belt Process and it’s practical application.  Trainees will enhance their current skills by developing a thorough understanding of the DMAIC (Define/Measure/Analyse/Improve/Control) methodology and its applications, creating a culture of problem solving and continuous improvement in their organization. In this way, key personnel become valuable contributors in achieving the larger goals and objectives of their organization. This powerful tool will enable you and your team to identify opportunities for improvement, and assist in the implementation of projects leading to efficiency by equipping key personnel with the expertise and the tools needed to manage and participate in cost reduction projects with innovative solutions.  Trainees will learn how to use data to pinpoint processes that need to be analysed and improved using the Six Sigma Tool sets, with a view to problem solving, increasing operational efficiency, improving productivity and customer satisfaction and the company’s overall business results. Our Lean Six Sigma Green Belt programme incorporates a project to be undertaken in your own organization during and after the training modules. This allows you to apply the tools, in your own working environment, to processes that are known to you, making the training relevant, and also leaving a improvement with measurable results in your organization. MINITAB (trial version can be downloaded free) and Excel software are used by participants during the training sessions and to complete their projects. Structure of the Course This 7-day training programme is divided into three modules as follows:  Define / Measure Phase - 3 days from Nov 25th to 27th, 2024 Analyse Phase - 2 days on January 13th &14th, 2025 Improve / Control Phase - 2 days on February 17th & 18th, 2025 A gap of 4 weeks between each module provides an opportunity for trainees to work on a project within their workplace, applying the methodology and tools learned during the previous module. Extra support can be provided between modules for each trainees with their project work. We provide a Lean Six Sigma Green Belt Manual for all delegates, and a Certification is awarded upon completion of the Green Belt training and ONE project by each trainee in which the targeted outcomes have been achieved. An outcome report and/or project presentation which demonstrates the use of the tools and methodology is required. Cost: £1,800 + VAT per person. What is included Seven days of face-to-face training delivered in 3 modules as listed above Project review and support for all participants during modules 2 & 3. Remote support available for the duration of the programme for trainees to consult with the trainer. All training material, and a Lean Six Sigma Green Belt Manual for all delegates Refreshments and lunch provided each day of training Free car park for all delegates Lean Six Sigma Green Belt certificate In-house Option This workshop can also be delivered in-house as a stand-alone training workshop or integrated into wider improvement activities. Contact us for more details at compete@cforc.org and we will be happy to discuss in the context of your own business needs. If you are not yet a member but are already thinking about joining CforC, you can find more information on how to become a member and the benefits by clicking here.

Learn the basic stitches to get you started with hand embroidery. All materials included

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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)

Satellite communications training course description This course starts by recaping some of the essential satellite knowledge required and proceeds to explore the deeper aspects of satellite communications, including hardware, communications and error control coding. What will you learn Explain how satellite communications work. Explain how RF works Explain the architecture of satellite systems. Use spectrum analysers. Satellite communications training course details Who will benefit: Anyone working with satellite systems. Prerequisites: None. Duration 3 days Satellite communications training course contents Basic Principles of Satellite Communications GEO, MEO and LEO satellites. Launching and orbits. Frequency bands and polarisation. Satellite footprints. Multibeam coverage. Power spectra. Link budgets. Modulation and coding. Access technologies. Earth station components. Space segment components. Satellite system services. Satellite operators. Radio frequency propagation Electromagnetic waves principles and generation. Reception of the EM wave. Space wave, sky wave and surface wave theory. The isotropic radiator. Types of antennae and their basic properties. Polar diagrams. International frequency allocation. Spectrum management and utilisation. Radio wave propagation. Line of sight propagation. Propagation for satellite comms. Free space path loss. Path attenuation. Noise and Interference. Power and its measurement. Satellite antennae and other hardware Power flux density. Effective aperture. Horn antennae. Parabolic reflector. Offset feed. Cassegrain and Gregorian antennae. Antenna feed systems - Horn, TMC, OMJ and polarizer. Antenna steering and mount systems. Array antennae. LNA, LNB, LNC. Microwave tubes - TWT and Klystron. Polarizers. Earth and Space Segments and the link Earth station antennae. Transponders. Antennae sub systems. Power supplies. Link budgets. System noise. System losses. Interference. Satellite switching. Ground Communications Equipment Baseband signals. Analogue and Digital systems. Overview of modulation - AM, FM, PM. Digital Modulation. Frequency conversion -up and down conversion. Filters, mixers, local oscillators, IF amplifiers and group delay equalisers. Access methods - single and multiple access systems. Data networks. Television transmission - analogue and digital. Digital signal compression. MPEG processing. Satellite Navigation Longitude, latitude, altitude, GPS, How GPS works, timing, alternatives to GPS. Mobile satellite services Voice and Phones, BGAN, TV, GPS to program aerial, VSAT. Error Control Coding The need for coding. Linear block codes. Cyclic codes. Convolution codes. Interleaving and concatenated codes. Coding gain. Turbo codes. Test and measurement Theory and practice of Spectrum Analysers.

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