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Explore effective teaching strategies and inclusive practices in our 'Strategies for Teaching Students with Learning Disabilities' course. Gain insights into diverse learning disabilities, IEP implementation, and classroom adaptations. Equip yourself with practical tools for reading, writing, and math difficulties, along with behavior management and social skills. Elevate your teaching approach to create an inclusive and supportive learning environment for all students.
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Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Module 01: Introduction Module 01: Introduction 00:04:00 Module 02: Learning Disability and Mental Health Module 02: Learning Disability and Mental Health 00:10:00 Module 03: Causes of Learning Disability Module 03: Causes of Learning Disability 00:14:00 Module 04: Legal Framework on Learning Disability Module 04: Legal Framework on Learning Disability 00:21:00 Module 05: Challenging Behaviour of Adults with Learning Disabilities Module 05: Challenging Behaviour of Adults with Learning Disabilities 00:11:00 Assessment Mock 1 Assessment Mock-1-Learning Disability Nurse 00:10:00 Module 06: Protecting People with Learning Disabilities Module 06: Protecting People with Learning Disabilities 00:00:00 Module 07: Assessment and Diagnosis of Learning Disability Module 07: Assessment and Diagnosis of Learning Disability 00:19:00 Module 08: Learning Disability Nursing Module 08: Learning Disability Nursing 00:09:00 Module 09: Different Approaches to therapy Module 09: Different Approaches to therapy 00:18:00 Module 10: Physical Health Issues with Down's Syndrome Module 10: Physical Health Issues with Down's Syndrome 00:15:00 Assessment Mock 2 Assessment Mock-2-Learning Disability Nurse 00:10:00 Module 11: Mental Health Issues and Epilepsy Module 11: Mental Health Issues and Epilepsy 00:18:00 Module 12: Access to Health Care Module 12: Access to Health Care 00:12:00 Module 13: Role of the Learning Disability Nurse Module 13: Role of the Learning Disability Nurse 00:10:00 Module 14: Professional and Legal Issues Module 14: Professional and Legal Issues 00:19:00 Module 15: The Future of Learning Disability Nursing Module 15: The Future of Learning Disability Nursing 00:10:00 Assessment Mock 3 Assessment Mock-3-Learning Disability Nurse 00:10:00 Final Assessment Final Assessment - Learning Disability Nurse 00:10:00 Conclusion Conclusion 00:04:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00
Elevate your teaching skills with our Blended Learning Diploma Course tailored for educators. Master the art of integrating traditional and digital teaching methods to enhance student engagement and learning outcomes. Gain practical strategies for creating dynamic blended learning environments. Enroll now to become a versatile and effective teacher in the digital age.
Overview This comprehensive course on Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Machine Learning with Python comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 4 sections • 21 lectures • 01:34:00 total length •Introduction to types of ML algorithm: 00:02:00 •SVM - Python Implementation: 00:06:00 •Introduction to types of ML algorithm: 00:02:00 •Importing a dataset in python: 00:02:00 •Resolving Missing Values: 00:06:00 •Managing Category Variables: 00:04:00 •Training and Testing Datasets: 00:07:00 •Normalizing Variables: 00:02:00 •Normalizing Variables - Python Code: 00:03:00 •Summary: 00:01:00 •Simple Linear Regression - How it works?: 00:04:00 •Simple Linear Regreesion - Python Implementation: 00:07:00 •Multiple Linear Regression - How it works?: 00:01:00 •Multiple Linear Regression - Python Implementation: 00:09:00 •Decision Trees - How it works?: 00:05:00 •Random Forest - How it works?: 00:03:00 •Decision Trees and Random Forest - Python Implementation: 00:04:00 •kNN - How it works?: 00:02:00 •kNN - Python Implementation: 00:10:00 •Decision Tree Classifier and Random Forest Classifier in Python: 00:10:00 •SVM - How it works?: 00:04:00