4303 Operations courses in Spennymoor delivered Online

Lean Six Sigma Black Belt Certification Program: Virtual 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)

Are you interested in becoming a facilities manager or facilities leader? Is your job role relates to keeping the facility alive? Our exclusive online diploma provides a comprehensive yet edible overview of the discerning topics and disciplines a qualified facilities manager must master in order to excel in facilities management. This course is developed by industry expert professionals to address the roles and functions of a facilities manager, explain how a capable facilities manager contributes to the processes and operations carried out during the post-construction of buildings. Besides, you will get the opportunity to gain practical expertise and understanding of this diverse and fast-moving industry. Leave this course equipped with the skills and knowledge that you can immediately apply in your day to day activities as a facilities management professional. Through practising a range of proven tactics and theories, you will be able to make strategic business decisions and ensure everything works harmoniously together. Learning Outcomes of The Facilities Management Diploma: Gain a good comprehension of the facility management Learn more about the welfare facilities are required in the workplace Understand the link between sustainable development and facilities management Identify the broad facility life cycle stages Carefully focus on the productive operations of a variety of businesses Classify the variations between operations and maintenance Learn the most effective method of delivering projects within cost, schedule, and resource limitations Get a sweeping overview of the faculty of human resource management Know the purpose of facility management in real estate Have a better understanding of outsourcing of services or in-house staff Gain sufficient knowledge to aid in the maintenance and management of building assets effectively Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Online study materials Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post.

Course Overview The success of a product or service can be amplified or ruined based on the demand of that product. Learn how you can understand what your customers want from this KYC, AML, and Data Privacy Regulations Course.  This KYC, AML, and Data Privacy Regulations Course will give you a clear understanding of customer demand and needs. You will also learn the importance of data privacy. This course will prepare you to handle money laundering cases and protect you from fraud. This course is for everyone. You don't need any prior knowledge or certification to understand this course. The course lessons are designed so that you can understand the topics easily. This course is especially helpful for those who come into contact with the customers for their work and need to understand them. Learning Outcomes Get to know about KYC principles Learn about the customer due diligence Familiarize with anti-money laundering and AML procedures Know the data privacy regulations for business operations in the United Kingdom Be able to maintain these regulations in your industry Learn different methods for carrying out KYC and AML Get a clear understanding of the future of KYC compliance Who is this course for? This KYC, AML, and Data Privacy Regulations Course is ideal for those who want to understand the customers requirement and establish their business. You will get a clear idea about customer requirements and data privacy from this course. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path KYC, AML, and Data Privacy Regulations Course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Data Security Professionals Sales Executives Managers Managing Directors Business Owners Entrepreneurs Marketing Executives Product Designers Module 01: Introduction to KYC Introduction to KYC 00:33:00 Module 02: Customer Due Diligence Customer Due Diligence 00:23:00 Module 03: AML (Anti-Money Laundering) AML (Anti-Money Laundering) 00:31:00 Module 04: KYC, AML, and Data Privacy Regulations for Businesses Operations in the United Kingdom KYC, AML, and Data Privacy Regulations for Businesses Operations in the United Kingdom 00:23:00 Module 05: Regulations to be Complied by Industries Regulations to be Complied by Industries 00:22:00 Module 06: Methods for carrying out KYC and AML and the Future of KYC Compliance Methods for carrying out KYC and AML and the Future of KYC Compliance 00:15:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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The aim of this course is to provide students with a comprehensive understanding of the regulatory environment that governs the operations of commercial banks.After the successful completion of the course, you will be able to learn about the following, Analyze the role of the bank regulatory system in the financial system. Identify regulatory bodies and their functions. Evaluate the financial regulatory framework. Analyze banking regulations and their compliance requirements. Assess the impact of regulatory fragmentation on the financial system. Evaluate commercial bank lending policies. Analyze the concept of investment policy. Identify the components of an investment policy. The aim of this course is to provide students with a comprehensive understanding of the regulatory environment that governs the operations of commercial banks. By the end of the course, students should be able to evaluate the impact of regulatory frameworks on the banking industry, analyze the lending and investment policies of commercial banks, and assess the functions of central banks and the international banking system. This course provides an overview of the regulatory environment in which commercial banks operate. Students will learn about the regulatory bodies, frameworks, and compliance requirements that impact the banking industry, as well as the lending and investment policies of commercial banks. The course also covers the international banking system and the functions of central banks. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding the Commercial Bank's Regulatory Environment Self-paced pre-recorded learning content on this topic. Understanding the Commercial Bank's Regulatory Environment Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Regulatory Compliance Officer Bank Examiner Risk Management Analyst Compliance Manager Financial Analyst Internal Auditor Banking Consultant Policy Analyst Credit Risk Analyst Anti-Money Laundering (AML) Compliance Officer Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Why choose 3ds max and After Effects Training Course (Live Online Only)? Join our personalized "3ds Max and After Effects Training Course (Live Online Only)" for a focused learning experience. Develop expertise in production environments, 3D modeling, texturing, lighting, animations, VFX and cinematography.  Check Our Website Duration: 10 hrs Method: 1-on-1, Personalized attention. Schedule: Tailor your own hours of your choice, available from Mon to Sat between 9 am and 7 pm. 3ds Max and After Effects Motion Graphics Course Duration: 10 hours Course Outline: Introduction to 3ds Max Familiarize yourself with the 3ds Max interface Create 3D objects and scenes Learn about cameras, lighting, materials, and textures Basic Animation Principles in 3ds Max Understand keyframes and interpolation Create animation cycles for 3D objects Apply animation principles using the graph editor Advanced Animation Techniques in 3ds Max Master custom controllers and expressions Animate with inverse kinematics Create dynamic particle systems and simulations Exporting 3D Scenes to After Effects Prepare 3D scenes for export Import 3D scenes into After Effects Explore 3D layer properties Basic Compositing in After Effects Navigate the After Effects interface Use keyframes and animation curves Compositing 2D and 3D elements Apply effects and filters Advanced Compositing Techniques in After Effects Harness masks and mattes for precision Utilize 3D camera tracking Work with green screen footage Create stunning special effects Integrating 3D and Live-Action Footage in After Effects Match camera angles and movement Incorporate 3D camera data into After Effects Add shadows and reflections for realism Rendering and Outputting Animations Render 3D scenes from 3ds Max Utilize the After Effects render queue Output animations for different formats Motion Graphics Projects Create a basic motion graphics sequence Design an animated logo Craft an engaging animated title sequence Course Requirements: Computer with 3ds Max and After Effects installed Basic knowledge of computer operations Passion for motion graphics

About the course “Quantum Computing for Finance” is an emerging multidisciplinary field of quantum physics, finance, mathematics, and computer science, in which quantum computations are applied to solve complex problems. “Quantum Algorithms for Computational Finance” is an advanced course in the emerging field of quantum computing for finance. This technical course will develop an understanding in quantum algorithms for its implementation on quantum computers. Through this course, you will learn the basics of various quantum algorithms including: Grover’s and Rudolf’s algorithm, Quantum amplitude Estimation (QAE) algorithm envisioned as a quadratic speed-up over Classical Monte-Carlo simulations, Combinatorial optimization algorithms namely Quantum Approximate Optimization Algorithm (QAOA), and Variational Quantum Eigensolver (VQE), and Quantum-inspired optimization algorithms – Simulated Coherent Ising Machine (Sim-CIM), and Simulated Bifurcation Algorithm (SBA). This course is meant for all those learners who want to explore the long-term employability of quantum computing in finance, assuming that you are familiar with the concepts of quantitative and computational finance. In addition, the course contains several Python based programming exercises for learners to practice the algorithms explained throughout the course. This course is the second part of the specialised educational series: “Quantum Computing for Finance”. What Skills you will learn Ability to perform quantum arithmetic operations and simulations. An understanding of the Quantum Amplitude Estimation algorithm and its variants. The computational and modelling techniques for option pricing and portfolio optimization on a quantum computer. The skills for a career in quantum finance including Quantum Algorithmic Research, Quantitative Asset Management and Trading, financial engineering, and risk management, using quantum computing technology. Course Prerequisites All potential learners must have prior knowledge or familiarity with basic quantum algorithms/basic quantum programming. Before enrolling this course, we recommend all learners to complete the first course “Introduction to Quantitative and Computational Finance” of the series “Quantum Computing for Finance”, if they have no previous experience with the concepts of quantitative and computational finance. Duration The estimated duration to complete this course is approximately 6 weeks (~4hrs/week). Course assessment To complete the course and earn the certification, you must pass all the quizzes at the end of each lesson by scoring 80% or more on each of them. Instructors QuantFiQuantFi is a French start-up research firm formed in 2019 with the objective of using the science of quantum computing to provide solutions to the financial services industry. With its staff of PhD's and PhD students, QuantFi engages in fundamental and applied research in in the field of quantum finance, collaborating with industrial partners and universities in seeking breakthroughs in such areas as portfolio optimisation, asset pricing, and trend detection.

This course is designed to guide you through Selenium WebDriver and Java, right from the basic to the advanced aspects. Loaded with exercises and examples, this course provides an interactive learning experience.

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This is a course that empowers you by unlocking the complexities of how Spring Boot works so that you understand what's going on. In this way, you get an excellent foundational basis of Spring Boot that allows you to stand in good stead, so you'll feel at ease exploring further and tapping into the amazing power that this versatile and powerful platform offers.