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Conflict Management 1 Day Training in Canterbury

This course is a recognised route into the gas industry without having an NVQ or apprenticeship in plumbing and/or gas. Before you can start your Accredited Certification Scheme (ACS) domestic initial assessment you will need to complete the MLP course if you do not hold any current gas qualifications. This course is approved by IGEM and is certificated by LCL Awards.

Teaching students with learning disabilities requires a specialised approach to meet their unique needs. This course provides in-depth knowledge about identifying and understanding various learning challenges that students may face in the classroom. You will learn the strategies and techniques that can be employed to create a supportive learning environment, tailored to the needs of each individual. The course covers the key aspects of recognising learning difficulties, adapting teaching methods, and fostering an inclusive educational atmosphere for students with different learning styles. By the end of the course, you will have a deeper insight into how to adjust your teaching approach to ensure that students with learning disabilities can reach their full potential. The course is designed for educators who are committed to providing the best possible learning experience for all students, no matter their challenges. Whether you are a new teacher or an experienced educator looking to refine your skills, this course will equip you with the tools to support your students effectively and confidently. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 1: Introduction to Learning Disabilities Module 2: Types of Learning Disabilities Module 3: Understanding Individualised Education Plans (IEPs) Module 4: Classroom Adaptations for Students with Learning Disabilities Module 5: Teaching Strategies for Reading Difficulties Module 6: Teaching Strategies for Written Expression Module 7: Teaching Strategies for Math Difficulties Module 8: Behaviour Management and Social Skills for Students Learning Outcomes: Analyse diverse learning disabilities for targeted educational support. Formulate effective Individualised Education Plans to enhance student progress. Implement adaptive classroom strategies for an inclusive learning environment. Apply specialised teaching methods for overcoming reading difficulties. Utilise effective strategies for improving students' written expression skills. Implement tailored teaching approaches to address mathematical challenges. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Educators and Teachers Special Educational Needs Coordinators (SENCOs) Learning Support Assistants Inclusive Education Advocates Trainee Teachers School Administrators Educational Consultants Parents and Caregivers Career path Special Educational Needs Teacher Learning Support Assistant Educational Consultant Inclusive Education Coordinator School Administrator Parent and Community Liaison Officer Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Trauma Informed Practice in Education is a research evidence based whole school systems approach that starts with you. Improved attendance, improved learning outcomes, reduced suspensions and exclusions and better staff recruitment, retention and wellbeing all begin from a place of understanding child development, the impact of adversity on child development and the role of us as educators in supporting opportunities for growth and resilience. Systems change takes teamwork, however the most important member of that team is you. On this Trauma Informed Practice Day you will learn the why and how to keep you well and resourced in order to support the emotional and academic progress of the children in your school. You may already have some knowledge or you may be coming as a complete novice. Either and anything in between is fine. Numbers are limited to keep the group small for the benefit of more enriched learning. On this practice day you will; • Take a deep learning dive into the nervous system and how this applies to you, your setting and the progress of your learners. • Learn practical skills and strategies to support yourself and others. • Have opportunities to discuss children you are working with through small group supervision sessions • Benefit from a day of immersion into the topic with two highly qualified and experienced practitioners.

Machine learning doesn’t need to be intimidating—especially when you’ve got R on your side. This course offers a clear, well-paced approach to learning machine learning using one of the most respected languages in data science. Whether you’re brushing up on your statistics or stepping into data modelling, the content is structured to help you think algorithmically and act analytically, without feeling overwhelmed by jargon or complexity. From regression techniques to classification methods and everything in-between, this course covers the core building blocks that give machine learning its predictive power. R is not just a programming language here—it’s your analytical toolkit. If terms like decision trees, clustering, and support vector machines sound like something out of a sci-fi novel, don’t worry—by the end, they’ll feel like familiar companions. Whether you’re analysing patterns or building predictive models, this course offers a confident route through the world of machine learning with an R-flavoured lens. Ask ChatGPT Learning Outcomes: Understand the basics of machine learning and its implementation using R. Develop the skills to build simple and multiple linear regression models. Learn how to use R to analyse datasets and develop predictive models. Understand the concept of dummy variables and the backward elimination approach. Learn how to make accurate predictions using machine learning algorithms and extract valuable insights from data. If you're looking to expand your knowledge in data analysis and machine learning, then the "Learn Machine Learning with R" course is perfect for you. This comprehensive course comprises two sections, each designed to help you gain an in-depth understanding of machine learning concepts, starting from the very basics. You'll learn about linear regression, the equation for the algorithm, and how to make simple linear regression models. Additionally, you'll dive into multiple linear regression, dummy variable concepts, and predictions over the year. With the help of this course, you'll be able to analyse datasets, develop predictive models, and extract valuable insights from them, using R. Learn Machine Learning with R Course Curriculum Section 01: Linear Regression and Logistic Regression Working on Linear Regression Equation Making the Regression of the Algorithm Basic Types of Algorithms predicting the Salary of the Employee Making of Simple Linear Regression Model Plotting Training Set and Work Section 02: Understanding Dataset Multiple Linear Regression Dummy Variable Concept Predictions Over Year Difference Between Reference Elimination Working of the Model Working on Another Dataset Backward Elimination Approach Making of the Model with Full and Null How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students or professionals looking to develop their data analysis and machine learning skills. Individuals interested in pursuing a career in data science or machine learning. Anyone interested in understanding how to extract insights from data. Programmers looking to learn machine learning implementation using R. Beginners interested in learning the basics of machine learning. Career path Data analyst: £30,000 to £50,000 Machine learning engineer: £45,000 to £85,000 Data scientist: £40,000 to £80,000 Business analyst: £30,000 to £55,000 Research analyst: £25,000 to £45,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

24 Hour Flash Deal **25-in-1 Level 3 Diploma in Specialist Support for Teaching and Learning in Schools Mega Bundle** Level 3 Diploma in Specialist Support for Teaching and Learning in Schools Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Level 3 Diploma in Specialist Support for Teaching and Learning in Schools package online with Studyhub through our online learning platform. The Level 3 Diploma in Specialist Support for Teaching and Learning in Schools bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Level 3 Diploma in Specialist Support for Teaching and Learning in Schools course provides complete 360-degree training on Level 3 Diploma in Specialist Support for Teaching and Learning in Schools. You'll get not one, not two, not three, but twenty-five Level 3 Diploma in Specialist Support for Teaching and Learning in Schools courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Level 3 Diploma in Specialist Support for Teaching and Learning in Schools courses are yours for as long as you want them once you enrol in this course This Level 3 Diploma in Specialist Support for Teaching and Learning in Schools Bundle consists the following career oriented courses: Course 01: Primary School Teacher Training Course 02: Teaching Fundamentals: Make Concepts Easy to Understand Course 03: Blended Learning Course for Teachers Course 04: Teaching Techniques & Methodologies Diploma Course 05: Positive Handling in Schools Course 06: Early Years Primary Teaching Course 07: Montessori Teaching Fundamentals: Principles and Practice Course 08: Effective Strategies for Teaching Students with Learning Disabilities Course Course 09: Planning, Delivery and Assessment in Teaching Course 10: Teaching & Homeschooling Course 11: Teaching Anybody Anything Course 12: Lesson Planning for Teaching Course 13: SEND Teaching Course Course 14: Child Protection Officer: Safeguarding Children's Welfare Course Course 15: Applied Behaviour Analysis (ABA) for Autism Spectrum Disorders Course 16: Self Regulation in Young Children Course 17: Improving School Attendance Course 18: Understanding Specific Learning Difficulties: Supporting Diverse Learners Course 19: School Administrator Diploma Course 20: Children's Literature in Education Course 21: Teach to Engage Students Course 22: Using Reggilio Emilia Approach in Early Childhood Course Course 23: Teaching Phonics Course 24: Therapeutic Recreation and Leisure Studies Course 25: Effective Communication Techniques for Teachers and Trainers The Level 3 Diploma in Specialist Support for Teaching and Learning in Schools course has been prepared by focusing largely on Level 3 Diploma in Specialist Support for Teaching and Learning in Schools career readiness. It has been designed by our Level 3 Diploma in Specialist Support for Teaching and Learning in Schools specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Level 3 Diploma in Specialist Support for Teaching and Learning in Schools Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Level 3 Diploma in Specialist Support for Teaching and Learning in Schools bundle course has been created with twenty-five premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Level 3 Diploma in Specialist Support for Teaching and Learning in Schools Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Level 3 Diploma in Specialist Support for Teaching and Learning in Schools Elementary modules, allowing our students to grasp each lesson quickly. The Level 3 Diploma in Specialist Support for Teaching and Learning in Schools course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. In this exclusive Level 3 Diploma in Specialist Support for Teaching and Learning in Schools bundle, you really hit the jackpot. Here's what you get: Step by step Level 3 Diploma in Specialist Support for Teaching and Learning in Schools lessons One to one assistance from Level 3 Diploma in Specialist Support for Teaching and Learning in Schoolsprofessionals if you need it Innovative exams to test your knowledge after the Level 3 Diploma in Specialist Support for Teaching and Learning in Schoolscourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Level 3 Diploma in Specialist Support for Teaching and Learning in Schools courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Level 3 Diploma in Specialist Support for Teaching and Learning in Schools certificate and transcript on the next working day Easily learn the Level 3 Diploma in Specialist Support for Teaching and Learning in Schools skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Level 3 Diploma in Specialist Support for Teaching and Learning in Schools training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Level 3 Diploma in Specialist Support for Teaching and Learning in Schools This course is suitable for anyone interested to further progress there career in: NCFE Supporting Teaching and Learning in Schools Level 2 Award - Supporting Teaching and Learning in Schools Level 2 Certificate in Supporting Teaching and Learning in Schools Level 3 Certificate in Supporting Teaching and Learning in Schools Level 3 Award in Supporting Teaching and Learning in Schools (RQF) Level 3 Diploma in Specialist Support for Teaching and Learning in Schools (RQF) Level 3 Award - Supporting Teaching and Learning OTHM Level 6 Diploma in Teaching and Learning Requirements To participate in this Level 3 Diploma in Specialist Support for Teaching and Learning in Schools course, all you need is - A smart device A secure internet connection And a keen interest in Level 3 Diploma in Specialist Support for Teaching and Learning in Schools Career path You will be able to kickstart your Level 3 Diploma in Specialist Support for Teaching and Learning in Schools career because this course includes various courses as a bonus. This bundle is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Level 3 Diploma in Specialist Support for Teaching and Learning in Schools career opportunities. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

R isn’t just for statisticians hiding behind graphs — it’s a powerful tool for machine learning, and this course shows you exactly how to put it to work. Designed for curious minds with an interest in data prediction, modelling, and pattern recognition, this course guides you through the essentials of machine learning using R. You’ll explore key techniques like classification, regression, and clustering, all explained in plain English (with just the right amount of code). If you’ve ever wondered how machines “learn” from data — without trying to make them smarter than your laptop needs to be — this course breaks it down with clear logic and no unnecessary flair. Study entirely online, at your own pace, with structured content focused on helping you understand how algorithms behave, why they do what they do, and how to make them behave a little better. Whether you're dipping your toes or deepening your skills, it’s all here, minus the fluff and drama. Learning Outcomes: Understand the basics of machine learning and its implementation using R. Develop the skills to build simple and multiple linear regression models. Learn how to use R to analyse datasets and develop predictive models. Understand the concept of dummy variables and the backward elimination approach. Learn how to make accurate predictions using machine learning algorithms and extract valuable insights from data. If you're looking to expand your knowledge in data analysis and machine learning, then the "Learn Machine Learning with R" course is perfect for you. This comprehensive course comprises two sections, each designed to help you gain an in-depth understanding of machine learning concepts, starting from the very basics. You'll learn about linear regression, the equation for the algorithm, and how to make simple linear regression models. Additionally, you'll dive into multiple linear regression, dummy variable concepts, and predictions over the year. With the help of this course, you'll be able to analyse datasets, develop predictive models, and extract valuable insights from them, using R. ⊱⊱ Learn Machine Learning with R Course Curriculum Section 01: Linear Regression and Logistic Regression Working on Linear Regression Equation Making the Regression of the Algorithm Basic Types of Algorithms predicting the Salary of the Employee Making of Simple Linear Regression Model Plotting Training Set and Work Section 02: Understanding Dataset Multiple Linear Regression Dummy Variable Concept Predictions Over Year Difference Between Reference Elimination Working of the Model Working on Another Dataset Backward Elimination Approach Making of the Model with Full and Null How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students or professionals looking to develop their data analysis and machine learning skills. Individuals interested in pursuing a career in data science or machine learning. Anyone interested in understanding how to extract insights from data. Programmers looking to learn machine learning implementation using R. Beginners interested in learning the basics of machine learning. Career path Data analyst: £30,000 to £50,000 Machine learning engineer: £45,000 to £85,000 Data scientist: £40,000 to £80,000 Business analyst: £30,000 to £55,000 Research analyst: £25,000 to £45,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

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🚀 Unlock the Power of Data with Our Machine Learning Course! 🤖 Are you ready to dive into the revolutionary world of Machine Learning? Welcome to our comprehensive course designed to equip you with the skills and knowledge needed to harness the potential of data-driven decision-making. 🎓 Machine Learning has rapidly emerged as one of the most transformative technologies of the 21st century. From powering intelligent virtual assistants to revolutionizing healthcare diagnostics, its applications are boundless. With our expertly crafted course, you'll embark on a journey that will demystify the complexities of Machine Learning and empower you to leverage its capabilities for diverse purposes. 💡 Why Machine Learning? In today's data-driven world, organizations across industries are seeking professionals who can extract actionable insights from vast amounts of data. Machine Learning offers the tools and techniques necessary to analyze complex datasets, identify patterns, and make predictions with unprecedented accuracy. By mastering Machine Learning, you'll gain a competitive edge in the job market and position yourself as a valuable asset to any organization. 📈 What You'll Learn: Our Machine Learning course covers a wide array of topics, including: Fundamentals of Machine Learning algorithms Supervised, unsupervised, and reinforcement learning techniques Data preprocessing and feature engineering Model evaluation and validation Deep learning and neural networks Practical applications and case studies With hands-on projects and real-world examples, you'll not only understand the theory behind Machine Learning but also gain practical experience in implementing algorithms and solving complex problems. Whether you're a beginner or an experienced data professional, our course is tailored to accommodate learners of all levels. 📊 Who is this for? Our Machine Learning course is ideal for: Aspiring data scientists and analysts Software engineers looking to transition into Machine Learning roles Business professionals seeking to leverage data for strategic decision-making Students and academics interested in exploring the forefront of technology No matter your background or experience level, our course provides a solid foundation in Machine Learning principles and techniques, setting you on the path to success in this rapidly evolving field. 🌟 Career Path: By mastering Machine Learning, you'll open doors to a myriad of exciting career opportunities, including: Data Scientist Machine Learning Engineer AI Researcher Business Intelligence Analyst Data Engineer With the demand for Machine Learning professionals on the rise, employers are actively seeking individuals with the skills and expertise to drive innovation and deliver impactful solutions. Whether you're looking to advance your current career or embark on a new professional journey, our course will equip you with the tools and knowledge needed to thrive in today's competitive job market. 💼 FAQ: Q: Is prior programming experience required to enroll in the course? A: While prior programming experience can be beneficial, our course is designed to accommodate learners of all backgrounds. We provide comprehensive tutorials and resources to help you grasp the fundamentals of programming and get started with Machine Learning. Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace and level of commitment. On average, most learners complete the course within 3 to 6 months. However, you have the flexibility to study at your own pace and revisit materials as needed. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts can be advantageous. We provide supplementary materials and support to help you build the necessary foundation for success in the course. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion that validates your proficiency in Machine Learning concepts and techniques. This certificate can enhance your credentials and demonstrate your expertise to potential employers. Q: How does the course structure accommodate working professionals? A: Our course offers flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. With on-demand access to course materials and resources, you can learn at your own convenience and progress at a pace that suits your lifestyle. Don't miss out on the opportunity to unlock your full potential with our Machine Learning course! Enroll today and embark on a transformative journey that will shape the future of your career. 🌐✨ Course Curriculum Module 1_ Introduction to Machine Learning Introduction to Machine Learning 00:00 Module 2_ Linear Regression Linear Regression 00:00 Module 3_ Logistic Regression Logistic Regression 00:00 Module 4_ Decision Trees and Random Forests Decision Trees and Random Forests 00:00 Module 5_ Support Vector Machines (SVMs) Support Vector Machines (SVMs) 00:00 Module 6_ k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) 00:00 Module 7_ Naive Bayes Naive Bayes 00:00 Module 8_ Clustering Clustering 00:00 Module 9_ Dimensionality Reduction Dimensionality Reduction 00:00 Module 10_ Neural Networks Neural Networks 00:00

Practical Sales Skills 1 Day Workshop in Edinburgh