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)
https://www.optima-ect.com/fast-track-course
LOOKING FOR: PICTURE BOOKS, CHAPTER BOOKS, MG, YA Lil is an editor with over 15 years experience in the publishing industry. She’s currently freelancing and is in direct contact with many of the big publishing houses: Hachette, Bonnier Books, and book packager, Working Partners Ltd, among others. She also works with the Caroline Wakeman Literary Agency, assessing their authors’ work for commercial viability, as well as scouting for new talent. For twelve years, Lil was a Senior Commissioning Editor at Working Partners Ltd – the creatives behind massive commercial hits such as Beast Quest, Warriors and the Daisy Meadows series. There she created globally successful concepts for every age group and developed storylines so the books were unputdownable. Lil is also an author in her own right: she has written 6 books under her own name, and ghost written many others under various pseudonyms. In every age level, Lil would like to see originality - particularly in voice. A strong character with depth, venturing on a quest that's never been undertaken before will get her excited. The 'quest' doesn't have to be epic in scale, it could be as small as petting the next-door neighbour's dog, or getting the good looking new kid to notice you, it just has to be something a reader will want to invest in. She also loves humour and is happy to see anything quirky (perhaps even downright silly!). For picture books, Lil would like you to submit a covering letter, and 1 complete manuscript, double-spaced, with spreads marked out, in a single word or PDF doc. For chapter books, MG and YA, please send a covering letter, the first three chapters and a synopsis, double spaced, in a single Word or PDF doc. Please send EITHER picture books OR another genre, not both in one submission. By booking this session you agree to email your material to reach I Am In Print by the stated submission deadline to agent121@iaminprint.co.uk. Please note that I Am In Print take no responsibility for the advice given in your Agent121. The submission deadline is: Friday 10 January 2025
Feedback Mastery Unleashed: 28 day online mini-programme to ignite high performance leadership for high achieving teams
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.
LOOKING FOR: YA, NA, ADULT FICTION Helen Lane is an editor and a Junior Agent at The Booker Albert Literary Agency. She is passionate about books and has spent the last decade supporting authors. She will happily offer her editing advice on manuscripts through I Am In Print but in accordance with her membership of the Association of American Literary Agents (AALA), guidelines state that any work submitted to her for feedback cannot be considered for agent representation. What Helen will do during your session is assess your sample and provide detailed feedback on any identifiable issues, the manuscript's commercial potential and what steps she would advise before you begin querying. She does not require personalisation in the letter, comparison titles or a synopsis, but if you have them already, please include them. As an idea of the genres Helen represents, she would love to see and offer advice on Adult Fantasy, Sci Fi, Horror, Paranormal Romance, LGBTQ+ Romance, Action & Adventure & Thrillers and will also look at YA Fantasy. Books Helen is slightly obsessed with include monster stories (especially if they have giant sharks or squids) and stories set in extreme environments such as the arctic, jungle, caves, ocean, and mountains. She DOES NOT want to read about affairs or abuse in any genre. (Her husband likes her to add here that this is nothing to do with him; she just doesn't like sad stories). Her favourite authors are Mira Grant, Greig Beck, James Rollins, Matthew Reilly, Jennifer L. Armentrout, Darcy Coates, Patricia Briggs & Kelley Armstrong. Helen holds a BSc in Environmental Science from the University of East Anglia and a postgrad qualification in Acoustics. She lives in London with her family and the world’s naughtiest cocker spaniel. Follow Helen on social media: @HFLane_writing Helen would like you to submit a covering letter, 1 page synopsis and first three chapters (Max 5,000 words) of your manuscript in a single word document. (In addition to the paid sessions, Helen is kindly offering one free session for low income/under-represented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print). By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting. The submission deadline is: Tuesday 14th January 2025
Overview This training course will empower you to recognize the root causes of fraud and white-collar crime in the current economy, understand the categories of fraud, equip you with methodologies of fraud detection and prevention, and heighten your ability to detect potential fraudulent situations. In addition to the fundamentals of fraud investigation and detection in a digital environment; profit-loss evaluation, analysis of accounting books, legal concepts, and quantification of financial damages are also examined in this course
Overview Business modelling requires analysts to produce the quantitative models that top management uses to support their decision-making, but top management must also understand the strengths and weaknesses of the models if they are to use them effectively to support their decisions and robustly navigate the strategic negotiation landscape. This is particularly important for PPP projects where long-term commitments are made now based on bankability, value for money and risk allocation. During the course, participants will gain knowledge and skills on the frameworks, tools, and methodologies necessary to build quantitative models for financial decision-making in order to improve the financial viability and bankability of PPP projects. Participants will master modelling frameworks on capital budgeting, risk measurement, regression analysis and Monte Carlo Simulation among others.
It's no secret the world has been changing before our eyes !In order to confront the rapidly-evolving world around us, businesses need highly trained, adaptable and creative individuals to keep pace and stay innovative. BA (Hons) Business Management - 18 months course is designed to train you for the jobs of the future; you'll be taught the fundamentals of business management in the wider context of the contemporary business landscape, ensuring your skills will remain flexible and adaptable as the world changes. This BA (Hons.) Business Management - 18 Months programme aims to develop pro-active decision makers, managers and leaders for a variety of careers in business sectors in a global context. The course combines practical professional experience with creative approaches to enterprise and innovation that will develop your entrepreneurial spirit. Program Overview: BA (Hons) Business Management - 18 MonthsKey Highlights of BA (Hons) Business Management - 18 Months degree programme are: Program Duration: 18 Months (24 Months Option also available) Program Credits: 240 Designed for working Professionals 100% Online Global programme: Study anywhere, anytime on your laptop, phone or tablet. Study material: Comprehensive study materials and e-library support. No Written Exam. The Assessment is done via Submission of Assignment Online Lectures Timely Doubt Resolution Dedicated Student Success Manager Regular Networking Events with Industry Professionals LSBR Alumni Status Payment Plan: No Cost EMI Option