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If you want to learn about Supporting Collective and Social Learning, then this course is meant for you. Social learning is a continuous and never-ending journey. We are living in a technology-advanced era where everything might change without you knowing. To be able to cope up with this, it is important that you adapt to changes, especially on the social norms and trends. Thus, this course is created for you to learn various aspects of social learning and social skills. Take this opportunity to learn about social learning to identify and use social learning tools. Know more about modelling and observation in this course that will help you understand effective social learning skills. Course Highlights Supporting Collective and Social Learning Skills Diploma is an award-winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain the necessary skills to perform well in this field. We have packed Supporting Collective and Social Learning Skills Diploma into 13 modules for teaching you everything you need to become successful in this profession. To provide you with ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 10hours, 40minutes and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Supporting Collective and Social Learning Skills Diploma Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Entrepreneurs, students, adventurers, the dreamers or individuals who are interested in learning the techniques of goal setting. Supporting Collective and Social Learning Skills Diploma is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Supporting Collective and Social Learning Skills Diploma is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume.   Module One - Getting Started 00:30:00 Module Two - Setting the Right Group Dynamic (I) 01:00:00 Module Three - Setting the Right Group Dynamic (II) 01:00:00 Module Four - Develop a Social Learning Culture at Work (I) 00:30:00 Module Five - Develop a Social Learning Culture at Work (II) 01:00:00 Module Six - Develop a Culture of Social Learning at Work (III) 01:00:00 Module Seven - Role Playing (I) 01:00:00 Module Eight - Role Playing (II) 00:30:00 Module Nine - Utilizing the Right Tools (I) 01:00:00 Module Ten - Utilizing the Right Tools (II) 00:30:00 Module Eleven - Modeling and Observational Learning 01:00:00 Module Twelve - Wrapping Up 01:00:00 Activities Activities 00:00:00 Mock Exam Mock Exam- Supporting Collective and Social Learning Skills Diploma 00:20:00 Final Exam Final Exam- Supporting Collective and Social Learning Skills Diploma 00:20:00

Description Explore the various ways and methods of learning and choose the appropriate learning styles for you by studying the Learning and Development Course. Each learner is different. Therefore learning style is also different for all. A learning style may works on a particular student while another student many benefited from another learning methods. The course focuses on different types of study skill methods, strategies of reading, taking notes, study from books, prioritizing, and more. In the course, you will understand the various types of learning styles and able to choose the best types for you. Additionally, the course shows you some of the effective ways of reading the book and taking notes. The advantages of auditory methods and techniques and the use of visual methods for information assimilation will be thoroughly discussed in the course. By the end of the course, you will able to master ASPIRE strategy and able to take critical reflective learning exercise. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Learning and Development Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Learning and Development Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Essential Study Skills Introductory video FREE 00:04:00 Types of study Why do you study? 00:05:00 How do you learn? How do you learn? 00:04:00 Acrostics, Acronyms, Analogies and Mnemonics Acrostics 00:03:00 Acronyms 00:02:00 Analogies 00:01:00 Mnemonics 00:04:00 Reading Reading video - styles & methods 00:06:00 Condensing and Summarising Keywords 00:03:00 Tree structures/diagrams 00:01:00 Spider diagrams 00:02:00 Mind maps 00:02:00 Concept maps 00:02:00 Cue Methods Flash cards 00:02:00 Note taking Skeleton prose 00:04:00 The Cornell Note Taking System 00:03:00 Studying from books PQRST & SQ3R methods 00:07:00 Prioritisation The traffic light approach 00:03:00 Visual methods Method of Loci 00:06:00 The peg or hook system 00:01:00 Auditory Auditory approaches 00:03:00 Don't miss anything out! BRG 00:02:00 PEE 00:02:00 A general strategy The ASPIRE approach 00:03:00 Summary Summary video 1 00:10:00 Summary video 2 00:08:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description: Lunchtime shouldn't be a time for 'switching off'. Lunch-and-learn events, sometimes called brown-bag seminar, 'switch on' opportunities to explore helpful topics that often fall by the wayside for lack of time. This Lunch & Learn Program Development Course will give you all the ideas how to create lunch and learn program that creates opportunities for learning that might not otherwise happen. You will learn how to develop a promotion plan for your organization, develop and deliver a lunch and learn session. So, develop your skills and knowledge by joining this course. Learning Outcomes: Narrate the benefits of launching a Lunch and Learn Program Display an outline for the targets as well as the expectations of a Lunch Learn Program for the organisation Implement some factors associated with your success so that you can initiate a Lunch and Learn Program for the organisation Improvise a promotion in order to assist your organisation in regard to the Lunch and Learn Program Devise and enlist a worthy Lunch and Learn session topics Manage a Lunch and Learn session for your organisation in a way that is currently being operated Improvise as well as deliver a Lunch and Learn session Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Lunch & Learn Program Development Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Lunch & Learn Program Development Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Course Overview 00:15:00 So, What is a Lunch and Learn? 00:15:00 The Underpinnings of Lunch and Learn Programs 00:30:00 Ongoing Administration of a Lunch and Learn Program 00:15:00 Developing a Lunch and Learn Presentation 01:00:00 Mock Exam Mock Exam- Lunch & Learn Program Development Course 00:20:00 Final Exam Final Exam- Lunch & Learn Program Development Course 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Welcome to the course Introduction 00:02:00 Setting up R Studio and R crash course Installing R and R studio 00:05:00 Basics of R and R studio 00:10:00 Packages in R 00:10:00 Inputting data part 1: Inbuilt datasets of R 00:04:00 Inputting data part 2: Manual data entry 00:03:00 Inputting data part 3: Importing from CSV or Text files 00:06:00 Creating Barplots in R 00:13:00 Creating Histograms in R 00:06:00 Basics of Statistics Types of Data 00:04:00 Types of Statistics 00:02:00 Describing the data graphically 00:11:00 Measures of Centers 00:07:00 Measures of Dispersion 00:04:00 Introduction to Machine Learning Introduction to Machine Learning 00:16:00 Building a Machine Learning Model 00:08:00 Data Preprocessing for Regression Analysis Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Importing the dataset into R 00:03:00 Univariate Analysis and EDD 00:03:00 EDD in R 00:12:00 Outlier Treatment 00:04:00 Outlier Treatment in R 00:04:00 Missing Value imputation 00:03:00 Missing Value imputation in R 00:03:00 Seasonality in Data 00:03:00 Bi-variate Analysis and Variable Transformation 00:16:00 Variable transformation in R 00:09:00 Non Usable Variables 00:04:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy variable creation in R 00:05:00 Correlation Matrix and cause-effect relationship 00:10:00 Correlation Matrix in R 00:08:00 Linear Regression Model The problem statement 00:01:00 Basic equations and Ordinary Least Squared (OLS) method 00:08:00 Assessing Accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy - RSE and R squared 00:07:00 Simple Linear Regression in R 00:07:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting result for categorical Variable 00:05:00 Multiple Linear Regression in R 00:07:00 Test-Train split 00:09:00 Bias Variance trade-off 00:06:00 Test-Train Split in R 00:08:00 Regression models other than OLS Linear models other than OLS 00:04:00 Subset Selection techniques 00:11:00 Subset selection in R 00:07:00 Shrinkage methods - Ridge Regression and The Lasso 00:07:00 Ridge regression and Lasso in R 00:12:00 Classification Models: Data Preparation The Data and the Data Dictionary 00:08:00 Importing the dataset into R 00:03:00 EDD in R 00:11:00 Outlier Treatment in R 00:04:00 Missing Value imputation in R 00:03:00 Variable transformation in R 00:06:00 Dummy variable creation in R 00:05:00 The Three classification models Three Classifiers and the problem statement 00:03:00 Why can't we use Linear Regression? 00:04:00 Logistic Regression Logistic Regression 00:08:00 Training a Simple Logistic model in R 00:03:00 Results of Simple Logistic Regression 00:05:00 Logistic with multiple predictors 00:02:00 Training multiple predictor Logistic model in R 00:01:00 Confusion Matrix 00:03:00 Evaluating Model performance 00:07:00 Predicting probabilities, assigning classes and making Confusion Matrix in R 00:06:00 Linear Discriminant Analysis Linear Discriminant Analysis 00:09:00 Linear Discriminant Analysis in R 00:09:00 K-Nearest Neighbors Test-Train Split 00:09:00 Test-Train Split in R 00:08:00 K-Nearest Neighbors classifier 00:08:00 K-Nearest Neighbors in R 00:08:00 Comparing results from 3 models Understanding the results of classification models 00:06:00 Summary of the three models 00:04:00 Simple Decision Trees Basics of Decision Trees 00:10:00 Understanding a Regression Tree 00:10:00 The stopping criteria for controlling tree growth 00:03:00 The Data set for this part 00:03:00 Importing the Data set into R 00:06:00 Splitting Data into Test and Train Set in R 00:05:00 Building a Regression Tree in R 00:14:00 Pruning a tree 00:04:00 Pruning a Tree in R 00:09:00 Simple Classification Tree Classification Trees 00:06:00 The Data set for Classification problem 00:01:00 Building a classification Tree in R 00:09:00 Advantages and Disadvantages of Decision Trees 00:01:00 Ensemble technique 1 - Bagging Bagging 00:06:00 Bagging in R 00:06:00 Ensemble technique 2 - Random Forest Random Forest technique 00:04:00 Random Forest in R 00:04:00 Ensemble technique 3 - GBM, AdaBoost and XGBoost Boosting techniques 00:07:00 Gradient Boosting in R 00:07:00 AdaBoosting in R 00:09:00 XGBoosting in R 00:16:00 Maximum Margin Classifier Content flow 00:01:00 The Concept of a Hyperplane 00:05:00 Maximum Margin Classifier 00:03:00 Limitations of Maximum Margin Classifier 00:02:00 Support Vector Classifier Support Vector classifiers 00:10:00 Limitations of Support Vector Classifiers 00:01:00 Support Vector Machines Kernel Based Support Vector Machines 00:06:00 Creating Support Vector Machine Model in R The Data set for the Classification problem 00:01:00 Importing Data into R 00:08:00 Test-Train Split 00:09:00 Classification SVM model using Linear Kernel 00:16:00 Hyperparameter Tuning for Linear Kernel 00:06:00 Polynomial Kernel with Hyperparameter Tuning 00:10:00 Radial Kernel with Hyperparameter Tuning 00:06:00 The Data set for the Regression problem 00:03:00 SVM based Regression Model in R 00:11:00 Assessment Assessment - Machine Learning Masterclass 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Overview This comprehensive course on Speed Learning Training will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Speed Learning Training 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 Speed Learning Training. It is available to all students, of all academic backgrounds. Requirements Our Speed Learning Training 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 1 sections • 12 lectures • 00:52:00 total length •Course Promo: 00:03:00 •Lesson 01: Introduction: 00:02:00 •Lesson 02: Skill, Learning, and Acquisition: 00:09:00 •Lesson 03: Smart Learners and Efficient Learning: 00:04:00 •Lesson 04: 10 Remarkable Traits of Successful Learners: 00:04:00 •Lesson 05: Learning Styles to Help You Learn Faster and Smarter: 00:04:00 •Lesson 06: 10 Tactics on Increasing Brain Power, Memory, and Motivation to Learn Better: 00:08:00 •Lesson 07: 8 Powerful Learning Hacks to Boost Your Learning Ability: 00:05:00 •Lesson 08: 5 Hacks to Speed up the Learning Process: 00:03:00 •Lesson 09: 8 Ways to Train Your Brain to Learn Faster and Remember More: 00:04:00 •Lesson 10: Simple Brain Training Habits to Boost Your Brain Power: 00:05:00 •Lesson 11: Conclusion - Final Thoughts & Ideas: 00:01:00

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

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Leading a Learning and Digital Transformation Project With the rising complexity of the world characterized by its uncertainty, learning at the speed of business is more important than ever. Learning & Development corporate universities are strongly challenged in the way they are designing and deploying learning solutions - they have to imagine a new value proposition to transform themselves as business partners. Learn how Jean-Roch Houllier has managed L&D strategic projects for transforming, digitalizing and proposing a strong value-added & international learning offer. General context: Learning stakes, trends & ambition for the corporate university Building the project 'baseline': Vision, strategy & project pillars Delivering the project: Key achievements and lessons learned; special focus on the digital learning onboarding project Driving change: Change management at the heart of the project & emergence of new competencies for L&D

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 Learning difficulties can provide consistent obstacles for many individuals, but you can help them to overcome their challenges. This Understanding Learning Difficulties Level 3 course is a unique way to gain awareness and understanding of the conditions that hinder the education of people of all ages. When you complete the course, you will be able to identify disorders such as ADHD, Dyslexia, ADD, Dyscalculia, and more. This knowledge will enable you to recognise the issues that slow the learning process, thereby allowing you to adapt and support each person according to their specific needs. Give students a helping hand and enrol now. How will I get my certificate? At the end of the course there will be a written assignment test which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this Understanding Learning Difficulties Level 3. It is available to all students, of all academic backgrounds. Requirements Our Understanding Learning Difficulties Level 3 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 9 sections • 9 lectures • 04:20:00 total length •Module 01: Learning Support Assistant: Workplace & Works: 00:30:00 •Module 02: Teaching Methodologies: 00:30:00 •Module 03: Skills of A Learning Support Assistant: 00:20:00 •Module 04: The Role and Responsibilities of the Learning Support Assistant: 00:20:00 •Module 05: SEN Teaching: 01:00:00 •Module 06: Supporting Pupils with Special Needs (Part 01): 00:30:00 •Module 07: How to Support Pupils with Special Needs Part-2: 00:50:00 •Module 08 Safeguarding Children and Young People: 00:20:00 •Assignment - Understanding Learning Difficulties Level 3: 00:00:00