3819 Design courses

Sales Management 2 Days Training in Dumfries

Sales Management 2 Days Training in Bournemouth

1 DAY PAPER PRINTING WORKSHOP £75.00 The perfect introduction to paper screen printing, our beginner workshop is ideal for anyone interested in learning the complete screen printing process or simply looking to print an edition with their own design for a special occasion. The sessions will run from 10am – 4pm with a 1 hour break for lunch, a great opportunity to sample one of the many food kiosks located on levels 5 and 6 of the building. The day will be split as follows: Morning After a short intro into the studio and the process you’ll guided through how to coat and expose your design onto your screen. Afternoon After lunch we’ll cover ink mixing and the process of setting up the paper bed ready for printing. When the screens are dry everyone will have a go at printing.  Outcome You will take away x10 A3 Prints all printed with your one colour design all created by you. — To book please scroll through the calendar and click the available date (highlighted in green) that you’d like to attend. All materials are provided including white 310gsm paper, if you’d like to supply you own paper please check with us first to make sure that it’s suitable for screen printing. Terms and conditions apply. Cancellation Policy: Please notice that we can’t reschedule or refund a workshop if it is requested 10 or less days before the date of the workshop. We regret we will not be able to replace or rearrange missed sessions either or exchange the price of the workshop for a voucher or another product. Please do not ask us to make exceptions and please understand we cannot accommodate everyones diary changes and sudden change of circumstances.

Autocad face to face training customised and bespoke.

Why Learn Vectorworks Basics to Essentials Training Course? Our Vectorworks training is meticulously crafted to educate and inspire designers of all levels. Whether you're a beginner or an experienced designer, our courses will equip you with new skills, refine your workflows, and teach Plans, sections and elevations. Course Link Duration: 10 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking hours of your choice, available from Mon to Sat between 9 am and 7 pm. Vectorworks Basics to Essentials Training Course Discover and Enhance Your Design Skills Our Vectorworks training is meticulously crafted to educate and inspire designers of all levels. Whether you're a beginner or an experienced designer, our courses will equip you with new skills, refine your workflows, and unlock the full potential of your Vectorworks software. Online Training Options Customized Online Sessions: Tailored training sessions for your specific needs and expertise level. Virtual Classroom: Join interactive virtual classes from the comfort of your office. Getting Started Guides: Comprehensive guides to help you navigate the fundamentals of Vectorworks. In-Person Training Opportunities Customized On-Site Sessions: Hands-on training delivered directly to your office or regional event. One to One: Engage in interactive learning at our training locations. Get Vectorworks https://www.vectorworks.net › downloads › ServicePack Vectorworks, Inc. 2D 3D CAD BIM software for Mac or Windows allows designers to transform the world. Project sharing makes it easy. Download or try today. Module 1: Grasping CAD and Vectorworks Understanding the Role of CAD in Design Getting Acquainted with Vectorworks Software Module 2: Configuring Your Workspace Customizing Your Workspace Essential Options and Preferences Module 3: Mastering Foundational Drawing Skills Techniques for Drawing Object Selection Methods Module 4: Advanced Object Manipulation Merging Shapes Reflecting Objects Rotating Objects Grouping Elements Module 5: Precision Drawing and Scaling Techniques Working with Scale Setting Preferences for Accuracy Creating and Saving Templates Module 6: Achieving Accurate Object Placement Ensuring Drawing Precision Precise Object Movement Module 7: Advanced Editing Methods Utilizing Fillet Tool Applying Offset Function Module 8: Understanding Object Attributes and Groups Basic Attribute Management Editing Object Groups Module 9: Object Duplication Techniques Linear Duplicates Rectangular Duplicates Circular Duplicates Module 10: Crafting Room Plans Designing Walls Incorporating Windows and Doors Module 11: Development of Room Plans Methods for Room Plan Drawing Module 12: Exploring Additional Attributes Hatch Patterns Gradients Image Fills Module 13: Creating Elevation Drawings Elevation Drawing Techniques Effective Approaches Module 14: Importing Images for Graphic Use Graphic Illustration Integrating Images Module 15: Symbols and Resource Handling Symbol Creation Introduction to Resource Browser Module 16: Organizing Drawings Using Design Layers Optimizing Design Layer Utilization Module 17: Labeling Drawings and Title Blocks Drawing Labels Title Block Text Placement Module 18: Plotting and Printing Methods User Interface Navigation and Terminology Printing Approaches Module 19: Generating Drawing Sheets A1, A2, and A3 Sheet Formats Module 20: Utilizing Viewports Effectively Managing Multiple Views Module 21: Professional Model Presentation Techniques Paper Space Presentation Conversion to PDF Formats Module 22: File and Project Management Module 23: Object Display and Terminology Module 24: Objects and Data Management Module 25: Precise Object Placement Object Snapping Quick Selection Module 26: Dividing and Measuring Objects Module 27: Dimensioning and Annotations Module 28: Working with Text Elements Module 29: Customizing Tool Palettes Module 30: Organizing Tool Palettes Module 31: Efficient Tool Palette Usage Module 32: Standard Views and Drawing Techniques Module 33: Drawing Curved Shapes Arcs, Donuts, and Ellipses Drawing Module 34: Real-World Units and Measurements Module 35: Object Manipulation Adjusting Object Angles Module 36: File Handling and Management Saving, Exiting, and Opening Projects Module 37: Creating Mirrored Images Module 38: Introduction to 3D Modeling Creating Extrusions Basic 3D Concepts Understanding For a free 30-day trial of Vectorworks, request an evaluation serial number at the provided link. https://www.vectorworks.net/trial Learning Outcomes of the Vectorworks Basics to Essentials Training Course: Proficiency in Vectorworks software, mastering its basic and essential features. Enhanced design skills and efficient workflows for architectural, landscape, and entertainment projects. Customized training based on individual needs and expertise levels. Flexibility with online and on-site options for convenient learning. Access to Vectorworks University with a wealth of resources for continuous learning. Interactive virtual classrooms and immersive hands-on training for practical experience.

Craft 3D jewellery on this one day intermediate silver clay boxes and beads class in Edinburgh City Centre

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)

RAKU, SAGGAR & BARREL FIRING WORKSHOPS POTTERY WORKSHOPS RAKU FIRING NAKED RAKU SAGGAR FIRING HORSEHAIR FIRING BARREL FIRING

Who Should Attend Those working towards their King's Badge (16 to 18 years old). Course Description Young people are required to participate in a practical course focusing on developing new and existing skills for work towards the King's Badge. The course is designed to help prepare and support the young person in an element of their King's Badge programme. Participants take part in problem solving, games and group activities. Glasgow Battalion have 3 available dates during session 2025/2026. Young people can choose the most suitable date. (Other courses are available through local Battalions)

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)