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students learn a variety of different brow tattooing techniques, so we will spend two days learning the shaded brow effects possible with a digital device and three days focused on our most-requested Hairstroke Brows.

LOOKING FOR: CHAPTER BOOKS, MG, YA Katie works on the Literary list, representing authors across all areas of Fiction, Non-Fiction, Children’s, YA, and Graphic Novels. Before joining the Literary team, she worked for Bright in marketing, with previous experience as a bookseller. She loves working with authors to find their books an audience, and particularly enjoys building lasting relationships with editors and authors alike. Katie spends most of her free time reading, and enjoys a wide range of books across Children’s, Literary Fiction, Science Fiction, Fantasy and Graphic Novels. When she’s not reading, Katie is also a contributor on the Graham Norton Book Club on Audible. Katie adores a wide range of genres but especially magical realism, sci-fi, fantasy, horror, and romance (or any mix of the above!) She has a particular interest in stories with LGBTQ+, disabled and diverse characters. Incidental representation a plus - no more ‘bury your gays’ please! Katie would like you to submit a covering letter, one page synopsis and the first three chapters (Max 5000 words) of your completed manuscript in a single word document. (In addition to the paid sessions, Katie 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: Wednesday 15 January 2025

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)

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)

https://www.optima-ect.com/fast-track-course

LOOKING FOR: YA/NA FANTASY, SFF, HORROR, ADULT FICTION John Baker (he/him) joined the Bell Lomax Moreton agency in 2019, cultivating a list shaped around his passion for science fiction, fantasy, and horror, though has lately also branched out into action/adventure fiction. John focuses on authors writing in the Adult, New Adult, and YA spaces. John leads the wider agency's film & TV desk, is the Secretary of the Association of Author’s Agents, and the co-chair of the AAA’s Bridge Committee. He also serves on the Kingston University MA Publishing Advisory Board. Under the umbrella of speculative fiction, John is looking for fantasy, science fiction, horror, romantasy, or literary speculative fiction. He has built a reputation as a champion of underrepresented voices and stories, be it from creators hailing from the global majority and their diasporas or neurodiverse authors, and naturally gravitates towards this kind of storytelling. In short, if he’s never read a story like yours before, he wants to see it. Adult fantasy: John loves beefy epic fantasy, especially non-Anglo Christian-inspired. Give him an immersive world, a fresh magical or mythic system, and an exciting cast of characters and he’ll be happy. He is a broad church in the genre so loves a political fantasy, swords and sorcery, courtly intrigue, monster hunting and dastardly villains. John is keen to find an urban fantasy that feels fresh and fun and he’s a sucker for a heroic quest narrative. He’s also very open to fantasy that isn’t easily categorised, but it is playing in that world. John is keenly hunting for more historical fantasy, especially inspired by modern history. He’s had fun with mythological retellings in the past, but as ever, let’s make sure it’s shining the spotlight on new stories. He would also love fantasy that centres on types of relationships less celebrated in fantasy, such as established and secure married couples, or siblings. NA/YA fantasy: In this genre, most importantly, John wants to have a good time, whether it’s swoon-worthy kisses in lush ball gowns, or gruesome gore and monsters, so send him pacy, plot-filled adventures. He’d love more books that teenage boys would love: Skullduggery Pleasant forever! Romantasy: The thriving new romantasy genre comes with its own set of challenges, so John wants to know what makes your romantasy different; what will set it out from the (very crowded!) market. Give it completely barmy stakes, cool and unique new settings, or a love story that will make your jaw drop. To be clear, he’s happily sorted for a human person meets a fae creature in the spooky woods. Also, cosmic romance is the genre of the future. Give him romantasy in space. Easy. Horror: John and horror are old friends. He loves horror inspired by myth and folklore, subversive weird horror that leaves your eyebrows in your hairline, historical horror that pulls from ghastly true stories, and anything that you’ll be reading with the light on. He also loves a gothic element and is particularly looking for horror with a strong romantic throughline, fun YA horror, and female & NB horror authors. Science fiction: SF is coming back! And John has been shouting about that. He loves to see an adventurous found-family romp through space or an epic, crunchy space opera. Speculative near-future is fun too, in the vein of Black Mirror’s more uplifting episodes, (e.g. San Junipero). He loves YA science fiction as well; the more creative the better. Literary: John is open to finding more rich magical realism or something character-led yet supernatural and would love a high-concept mystery, in the vein of Stuart Turton. He also loves spec fic that uses the speculative lightly as a way of confronting a deeper truth in society today. Weird stuff: John wants books that will blow people’s minds and defy categorisation. This is hard to describe, but think Gideon The Ninth, The Library At Mount Char, This Is How You Lose The Time War. John loves a pitch that leaves the editors baffled but intrigued. Action/Adventure, Historical Adventure, Espionage: John is branching out into non-speculative adventures, such as John Le Carré, Lee Child, Ian Flemming, and Mick Herron. More as his taste develops, but the hunt is on! Not looking for: military sci-fi or hard SF, or anything with biblical “character wakes up in purgatory/heaven/hell” narratives. The right comedic fantasy has yet to hit his inbox, but please don’t comp Douglas Adams or Sir Terry. John would like you to submit a covering letter, 1-2 page synopsis and the first three chapters (or 5,000 words whichever is longest) of your manuscript in a single word document. (In addition to the paid sessions, John 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: Wednesday 15th January 2025

OOAD training course description A workshop course providing thorough practical knowledge of object oriented analysis and design methods. What will you learn Perform Systems Analysis with Object Oriented methods. Identify key classes and objects. Expand and refine OO problem domain models. Design Class hierarchies using inheritance and polymorphism. Design programs with Object Oriented methods. OOAD training course details Who will benefit: System analysts, designers, programmers and project managers. Prerequisites: It is desirable that delegates have experience of programming in C++/Java or some other OOP language. Duration 5 days OOAD training course contents What is OO? Classes, objects, messages, encapsulation, associations, inheritance, polymorphism, reusability. What is Systems Analysis and design? Data flow diagrams, structure diagrams. The OO approach. OOA The problem domain and object modelling. Identifying classes and objects. Generalisation and inheritance. Defining attributes and methods. OOD Refining the OOA results. Designing the User Interface. Designing the algorithms and data structures using objects. Designing the methods. OOP Prototyping. Implementing OOD with OOPs and OOPLs.

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Introspective test Emotional regulation and emotional intelligence training Help in addressing pain points areas Full Makeover and beauty treatments 10 V.I.P confidence building sessions Personality test Addressing trauma issues Personal life coach available daily Behavioural pattern training Relationships analysation Happiness test Dating advice for low confidence and insecurity triggers Eradication of negative patterns Cognitive behavioural therapy https://relationshipsmdd.com/product/dating-advice-for-women-with-very-low-confidence-package/