42848 Learning courses in Sheffield delivered Online

Learning Disability Nurse Training Course Overview Are you looking to begin your learning disability nursing career or want to develop more advanced skills in learning disability nursing? Then this learning disability nurse online training course will set you up with a solid foundation to become a confident learning disability nurse and help you to develop your expertise in learning disability nursing. This learning disability nurse online training course is accredited by the CPD UK & IPHM. CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this learning disability nurse online training course will set you up with a solid foundation to become a confident learning disability nurse and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a learning disability nurse. The learning disability nurse online training course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a learning disability nurse. This comprehensive learning disability nurse online training course is the perfect way to kickstart your career in the field of learning disability nursing. This learning disability nurse online training course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. If you're interested in working as a learning disability nurse or want to learn more skills on learning disability nursing but unsure of where to start, then this learning disability nurse online training course will set you up with a solid foundation to become a confident learning disability nurse and develop more advanced skills. As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This learning disability nurse online training course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience. Who should take this course? This comprehensive learning disability nurse online training course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of learning disability nursing. Entry Requirement There are no academic entry requirements for this learning disability nurse online training course, and it is open to students of all academic backgrounds. As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol. Career path This learning disability nurse online training course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry. Course Curriculum Module 01: Introduction Module 01: Introduction Module 02: Learning Disability and Mental Health Module 02: Learning Disability and Mental Health Module 03: Causes of Learning Disability Module 03: Causes of Learning Disability Module 04: Legal Framework on Learning Disability Module 04: Legal Framework on Learning Disability Module 05: Challenging Behaviour of Adults with Learning Disabilities Module 05: Challenging Behaviour of Adults with Learning Disabilities Assessment Mock 1 Assessment Mock 1 Module 06: Protecting People with Learning Disabilities Module 06: Protecting People with Learning Disabilities Module 07: Assessment and Diagnosis of Learning Disability Module 07: Assessment and Diagnosis of Learning Disability Module 08: Learning Disability Nursing Module 08: Learning Disability Nursing Module 09: Different Approaches to therapy Module 09: Different Approaches to therapy Module 10: Physical Health Issues with Down's Syndrome Module 10: Physical Health Issues with Down's Syndrome Assessment Mock 2 Assessment Mock 2 Module 11: Mental Health Issues and Epilepsy Module 11: Mental Health Issues and Epilepsy Module 12: Access to Health Care Module 12: Access to Health Care Module 13: Role of the Learning Disability Nurse Module 13: Role of the Learning Disability Nurse Module 14: Professional and Legal Issues Module 14: Professional and Legal Issues Module 15: The Future of Learning Disability Nursing Module 15: The Future of Learning Disability Nursing Conclusion Conclusion Assessment Mock 3 Assessment Mock 3 Final Assessment Final Assessment - Learning Disability Nurse Online Training Course Recognised Accreditation CPD Certification Service 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. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Certificate of Achievement Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Learn to design, plan, and scale cloud implementations with Google Cloud Platform's BigQuery. This course will walk you through the fundamentals of applied machine learning and BigQuery ML along with its history, architecture, and use cases.

This course aims to teach you how to use Python for machine learning and data science.

ONLINE CLASS: FOCUSES ON HARASSMENT IN THE WORKPLACE AND HOW TO ADDRESS THE PROBLEM. Harassment doesn’t have to be of a sexual nature – it can include offensive remarks about a person’s gender. For example, anyone could be guilty of harassing another if offensive comments are made about certain group in general. Simple teasing or offhand comments might not be illegal, but harassment is illegal when it creates a hostile or offensive work environment. This workshop teaches how to recognize, understand, and respond to harassment so that you can help to maintain a happy work environment, free from hostility and discomfort. Topics: Harassment Laws: The definition of sexual harassment and quid pro quo. Types of Harassment: Verbal, Non-Verbal, Physical, Psychological (teasing and offhand comments). Creating a happy work environment free from hostility and discomfort. Reporting: What to do when employees witness or experience harassment. Responding: How managers can identify and respond to prohibited conduct. Attendees will be able to: Identify the signs of Harassment and take steps to prevent it, Follow a legal and ethical protocol in responding and reporting it when it is perceived to occur, Involve the correct individuals in being made aware of the occurrence, and Respond appropriately to the situation after it occurs. This workshop is offered in two versions – management-only and staff-only.   Online Format—Workplace Professionalism is a 4-hour interactive virtual class. Register for this class and you will be sent ONLINE login instructions prior to the class date. It was an extreme pleasure to have you as part of the Communication Enhancement Training Program. Your presentation was excellent and well received by the staff. Courtney C. Crouch, Jr., PresidentSelected Funeral and Life Insurance Company

Overview This comprehensive course on Machine Learning for Predictive Maps in Python and Leaflet 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 for Predictive Maps in Python and Leaflet comes with accredited certification from CPD, 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 for Predictive Maps in Python and Leaflet. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning for Predictive Maps in Python and Leaflet 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 33 lectures • 05:59:00 total length •Introduction: 00:10:00 •Python Installation: 00:04:00 •Creating a Python Virtual Environment: 00:07:00 •Installing Django: 00:09:00 •Installing Visual Studio Code IDE: 00:06:00 •Installing PostgreSQL Database Server Part 1: 00:03:00 •Installing PostgreSQL Database Server Part 2: 00:09:00 •Adding the settings.py Code: 00:07:00 •Creating a Django Model: 00:10:00 •Adding the admin.py Code: 00:21:00 •Creating Template Files: 00:10:00 •Creating Django Views: 00:10:00 •Creating URL Patterns for the REST API: 00:09:00 •Adding the index.html code: 00:04:00 •Adding the layout.html code: 00:19:00 •Creating our First Map: 00:10:00 •Adding Markers: 00:16:00 •Installing Jupyter Notebook: 00:07:00 •Data Pre-processing: 00:31:00 •Model Selection: 00:20:00 •Model Evaluation and Building a Prediction Dataset: 00:11:00 •Creating a Django Model: 00:04:00 •Embedding the Machine Learning Pipeline in the Application: 00:42:00 •Creating a URL Endpoint for our Prediction Dataset: 00:06:00 •Creating Multiple Basemaps: 00:09:00 •Creating the Marker Layer Group: 00:10:00 •Creating the Point Layer Group: 00:12:00 •Creating the Predicted Point Layer Group: 00:07:00 •Creating the Predicted High Risk Point Layer Group: 00:12:00 •Creating the Legend: 00:09:00 •Creating the Prediction Score Legend: 00:15:00 •Resource: 00:00:00 •Assignment - Machine Learning for Predictive Maps in Python and Leaflet: 00:00:00

Overview of Strategies for Teaching Students with Learning Disabilities Course A little care and support in the classroom can help children with learning disabilities live healthy and prosperous lives. This course will explore the successful strategies for teaching children with learning difficulties in inclusive classrooms.  Our Strategies for Teaching Students with Learning Disabilities Course will give you an overall understanding of the characteristics, types and effects of learning disabilities. Moving forward, you'll understand what IEP is and explore the several core steps in creating an effective IEP. Then, you'll discover the best practices for creating a supportive and inclusive classroom environment. The course also covers the teaching strategies for reading problems, math difficulties and writing expression. Finally, you'll understand how to teach social skills and promote positive behaviour in the classroom. Course Preview Learning Outcomes Find a comprehensive guide to teaching children with learning difficulties Identify the IEP goals for special education students Understand how to modify lessons for students with learning difficulties Learn how to help children learn and understand mathematics Explore the techniques to improve reading skills in children with learning disabilities Discover the strategies for a behaviour intervention plan Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email Who Should Take this Strategies for Teaching Students with Learning Disabilities Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Strategies for Teaching Students with Learning Disabilities Course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Path​ Strategies for Teaching Students with Learning Disabilities Course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Special Education Teacher Learning Support Assistant Behaviour Analyst School Counsellor Educational Consultant Special Education Coordinator Module 1: Introduction to Learning Disabilities Introduction to Learning Disabilities 00:15:00 Module 2: Types of Learning Disabilities Types of Learning Disabilities 00:21:00 Module 3: Understanding Individualised Education Plans (IEPs) Understanding Individualised Education Plans (IEPs) 00:15:00 Module 4: Classroom Adaptations for Students with Learning Disabilities Classroom Adaptations for Students with Learning Disabilities 00:18:00 Module 5: Teaching Strategies for Reading Difficulties Teaching Strategies for Reading Difficulties 00:17:00 Module 6: Teaching Strategies for Written Expression Teaching Strategies for Written Expression 00:15:00 Module 7: Teaching Strategies for Math Difficulties Teaching Strategies for Math Difficulties 00:19:00 Module 8: Behaviour Management and Social Skills for Students Behaviour Management and Social Skills for Students 00:15:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

The underlying patterns in your data hold vital insights; unearth them with cutting-edge clustering and classification techniques in R

The 'Understanding Learning Difficulties and Safeguarding Diploma' course offers a comprehensive exploration of effective learning support and safeguarding practices, equipping participants with essential skills to assist learners with diverse needs. Delve into the role and responsibilities of a Learning Support Assistant, master various teaching methodologies, and acquire the skills needed to provide targeted assistance to students with special educational needs. Learn how to create an inclusive and supportive learning environment while prioritizing the safety and well-being of children and young people. Learning Outcomes: Develop proficiency as a Learning Support Assistant in diverse educational settings. Acquire a thorough understanding of effective teaching methodologies. Cultivate essential skills for providing specialized support to learners with learning difficulties. Gain insight into the crucial role and responsibilities of a Learning Support Assistant. Explore strategies for supporting pupils with special needs, enhancing their learning experiences. Learn how to create an inclusive classroom environment that accommodates diverse learning needs. Understand the principles and practices of safeguarding children and young people. Develop the ability to identify and address potential safeguarding concerns. Why buy this Understanding Learning Difficulties and Safeguarding Diploma? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Understanding Learning Difficulties and Safeguarding Diploma there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Understanding Learning Difficulties and Safeguarding Diploma does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Aspiring Learning Support Assistants seeking comprehensive training. Current Learning Support Assistants aiming to enhance their skills and knowledge. Teachers and educators interested in expanding their understanding of learning difficulties and safeguarding. Individuals considering a career in special education or student support. Prerequisites This Understanding Learning Difficulties and Safeguarding Diploma was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Learning Support Assistant - Median salary of £16,000 - £25,000 per year. Special Education Teacher - Median salary of £25,000 - £40,000 per year. Educational Consultant - Median salary of £30,000 - £45,000 per year. Behaviour Specialist - Median salary of £25,000 - £40,000 per year. Safeguarding Officer - Median salary of £25,000 - £35,000 per year. Course Curriculum Module 01: Learning Support Assistant: Workplace & Work Module 01: Learning Support Assistant: Workplace & Works 00:30:00 Module 02: Teaching Methodologies Module 02: Teaching Methodologies 00:30:00 Module 03: Skills of a Learning Support Assistant Module 03: Skills of A Learning Support Assistant 00:20:00 Module 04: The Role and Responsibilities of the Learning Support Assistant Module 04: The Role and Responsibilities of the Learning Support Assistant 00:20:00 Module 05: SEN Teaching Module 05: SEN Teaching 01:00:00 Module 06: How to Support Pupils with Special Needs Part 1 Module 06: Supporting Pupils with Special Needs (Part 01) 00:30:00 Module 07: How to Support Pupils with Special Needs Part 2 Module 07: How to Support Pupils with Special Needs Part-2 00:50:00 Module 08: Safeguarding Children & Young People Module 08 Safeguarding Children and Young People 00:20:00 Mock Exam Mock Exam - Understanding Learning Difficulties and Safeguarding Diploma 00:20:00 Final Exam Final Exam - Understanding Learning Difficulties and Safeguarding Diploma 00:20:00