14749 CV courses in Liverpool delivered On Demand

Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00

Register on the R Programming for Data Science today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The R Programming for Data Science is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The R Programming for Data Science Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the R Programming for Data Science, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's Next? 00:01:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00

Super Saver Offer is Active; Save: £400! Offer Ends Soon; Hurry Up!! Are you looking to improve your current abilities or make a career move? Our unique Dream Analysis and Interpretation Course might help you get there! Expand your expertise with high-quality training - study the course and get an expertly designed, great value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the course. This course is endorsed by The Quality Licence Scheme and accredited by CPD (with 120 CPD points) to make your skill development and career progression related to Dream Analysis and Interpretation substantial and easier than ever! The Dream Analysis and Interpretation course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the course, you will receive an instant e-certificate as proof of the comprehensive skill development and competency. Add these amazing new skills to your resume and boost your employability by simply enrolling on this course. With this comprehensive course, you can achieve your dreams and train for your ideal career. This course provide students with an in-depth learning experience that they can work through at their own pace to enhance their professional development. This course cover everything you need in order to progress in your chosen career. You'll get a free Student ID card by enrolling in this course. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. Enrolling on this course will ensure that you land your dream career faster than you thought possible. Stand out from the crowd and train for the job you want with this program. Key Topics to Be Covered by Dream Analysis and Interpretation : Understanding the functions and stages of the dreaming process Identifying recurring symbols and motifs in dreams Recording dreams and interpreting them during waking hours Psychological views on dreams and visions Common dream scenarios and what they mean for an individual Experts created the Dream Analysis and Interpretation course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you. Start your learning journey straight away with this Dream Analysis and Interpretation course and take a step toward a brighter future! Why Prefer this Dream Analysis and Interpretation Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme and another certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support *** Course Curriculum *** >> Diploma in Dream Analysis and Interpretation at QLS Level 4 << Module 1: Dream Basics What Are Dreams? Why Do We Dream? The Function of Dreams Understanding the Steps in the Dream Process Know Your Dream Cycles Summary Module 2: Psychology and Dreams Psychological Views on Dreams What Is the Difference Between Dreams and Visions? Types of Dreams Common Questions about Dreams Summary Module 3:Understanding the Secrets in Dream Symbols What Are Symbols Discovering How Symbols Can Come Alive Familiarising Yourself with Kinds of Meanings Notice Archetypal MeaningsNotice Personal Meanings Cracking Symbols Open Find Archetypal Meanings VerticallyFind Personal Meanings Horizontally Summary Module 4: Interpreting Your Dreams What Is Dream Interpretation Step 1: RecordStep 2: Recognising the FeelingStep 3: ConnectStep 4: Dream DictionaryStep 5: Acting on It How to Analyse Dream How to Remember Your Dreams Summary Module 5: Benefits of Dreaming Why Your Brain Needs to Dream Health Benefits of Dreams Five Ways to Improve Your Sleep What Influences Dreams? Summary Module 6: Common Dreams and Their Meanings Seeing People Meeting Celebrities Being Chased Vehicles School/Test Falling Being in Power Flying Food Being Nude Intimacy Partner Cheating Loss House Summary Module 7: How to Dream Positively Dreaming Positive Meditation Word Chanting Mindfulness Meditation Breathing Meditation Walking Meditation How to Deal with Nightmares Summary Module 8: Meditations and Dreams Relation between Meditation and Dreams Kundalini Meditation Qi Gong Heart Beat Meditation Hypnosis Guided Visualisation Zazen Meditational Chants OmAimHrimShrimKrimHumLamVamRamYamHamOm/Aum Assessment Process We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the exams. Show off Your New Skills With a Certification of Completion Endorsed Certificate of Achievement from the Quality Licence Scheme After completing the course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 99 GBP inside the UK 109 GBP (including postal fees) for international delivery Certification Accredited by CPD Upon finishing the course, you will receive an accredited certification that is recognised all over the UK and also internationally. The pricing schemes are - 10 GBP for Digital Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery) CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Dream Analysis and Interpretation Course Right for You? Anyone interested in learning more about this subject should take this course. This will help you grasp the basic concepts as well as develop a thorough understanding of the subject. All are welcome to take this course. There are no prerequisites for enrollment, and you can access the course materials from any location in the world. Requirements The Dream Analysis and Interpretation program does not require any prior knowledge; everyone may participate! This Dream Analysis and Interpretation course is open to anyone who is interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This Dream Analysis and Interpretation course allows you to study at your own speed and grow a quality skillset. Career path This course will allow you to kickstart or take your career in the related sector to the next stage. Our whole course will assist you in achieving a position of respect and dignity, as well as allowing you to gain an advantage over your competitors. The Dream Analysis and Interpretation certificate will strengthen your CV and assist you in finding work in the related industry.

Embark on a journey to excellence in teaching English with our Level 3 Diploma course. Master effective teaching strategies, refine your language proficiency, and empower yourself to inspire students worldwide in their language learning journey.

Overview Are you considering investing your time and effort into something that will help launch and elevate your career in the education industry? The Professional Teaching Assistant course will introduce you to the profession that's filled with rewards that outweigh the trials. Through this comprehensive course, you will prepare yourself up for everything you need to become a qualified Teaching Assistant.  During this advanced teaching assistant training course, you will become aware of all the vital knowledge that is required to support learning in schools and academies. The course covers a range of topics, including the crucial role a teaching assistant play within the classroom. Upon successful completion of the course, you will be provided with the knowledge required to carry out a teaching assistant job in the most efficient manner and pursue a career that satisfies you in the long term. Course design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Text/Video lessons Online study materials How is the course assessed? To successfully complete the course you must pass an automated, multiple-choice assessment. The assessment is delivered through our online learning platform. You will receive the results of your assessment immediately upon completion. Will I receive a certificate of completion? Upon successful completion, you will qualify for the UK and internationally-recognised certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hardcopy Certificate for £15. Why study this course Whether you're an existing practitioner or aspiring professional, this course will enhance your expertise and boost your CV with key skills and an accredited qualification attesting to your knowledge. Who is This course for? This Professional Teaching Assistant course is suitable for anyone interested in working in this sector or who simply wants to learn more about the topic. If you're an individual looking to excel within this field then Professional Teaching Assistant course is for you. Requirements The Professional Teaching Assistant course is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16.  Course Curriculum Module 01: Fundamentals of Teaching Understanding the Development of Children and Young Person 01:00:00 Communication and Professional Relationships with Pupils and Family 01:00:00 Safeguarding the Welfare of Children and Young Person 01:00:00 Module 02: Teaching Methodologies - Part 1 Education - A Group Enterprise 01:00:00 Traits to Develop 01:00:00 Grow the Attention 01:00:00 Learning Good Habits 01:00:00 Importance of Memory 01:00:00 Module 03: Teaching Methodologies - Part 2 Imagination is Important 01:00:00 Breakdown of Thinking Process 00:30:00 Appreciation - An Aesthetic Emotion 00:30:00 Learning Reflexive Activities 01:00:00 Differing Individuals 00:30:00 Module 04: Teaching Methodologies - Part 3 Morality Matters 01:00:00 Different Learning Methods 01:00:00 Different Psychological Exercises 01:00:00 Problems, Situations & Solutions 01:00:00 Measuring the Achievements 01:00:00 Module 05: SEN Teaching Special Educational Needs (SEN) Teacher 00:30:00 Statutory and Regulatory Context for SEN 01:00:00 Principles and Practice of Leadership in Different Contexts 00:45:00 How SEN and Disabilities Affect Pupils' Participation and Learning? 00:45:00 Strategies for Improving the Performance of the Pupils with SEN 00:45:00 Module 06: SENCO Training Whole-school Planning and Organisation 01:00:00 Assessment 00:30:00 Teamwork for SEN: Roles and Functions 01:00:00 Planning for Individual Students with SEN 00:45:00 Teaching and Learning in the Inclusive School 00:45:00 Module 07: Autism Introduction to Autism 00:20:00 Causes and Diagnosis of Autism 00:45:00 Other Conditions Associated with ASD 01:00:00 In-depth Understanding and Dealing with Autistic Behaviour 01:00:00 Socialising and Communication 00:45:00 Choosing Schools 00:45:00 What Should Teachers Do? 00:30:00 Sex Education and Puberty 00:30:00 Interventions: Treatments and Therapies for Autism 00:45:00 Government policies on autism in England 00:30:00 Module 08: ADHD What is ADHD? 00:30:00 Causes of ADHD 00:30:00 Diagnosing ADHD 00:30:00 Treating ADHD 00:30:00 ADHD and Education 00:30:00 Reasonable Adjustments: ADHD 01:00:00 Adults with ADHD 00:30:00 Module 09: Dyslexia What is Dyslexia? 01:00:00 Identifying Dyslexia 00:30:00 Co-occurring Conditions 00:30:00 Diagnosing Dyslexia 00:30:00 Creating Dyslexia Friendly Environment 00:30:00 Solutions for Dyslexia 00:30:00 Mock Exam Mock Exam- Professional Teaching Assistant 00:20:00 Final Exam Final Exam - Professional Teaching Assistant 00:20:00

Explore the transformative world of Play Therapy, a unique and evidence-based approach to counseling for children and adults alike. Discover how therapeutic play techniques foster communication, emotional expression, and healing in a safe and engaging environment. Uncover the power of play as a tool for self-discovery and growth in the realm of mental health and well-being.

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