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QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Your feet are the foundation of your body, and keeping them healthy is essential for your overall well-being. Foot health practitioners (FHPs) are vital in preventing and treating foot problems, ranging from minor nuisances to severe medical conditions. Foot health practitioners (FHPs) play a vital role in people's lives, helping them to maintain healthy feet and walk pain-free. With an ageing population and increasing levels of obesity, the demand for Foot health practitioners (FHPs) is rising. The UK foot health industry is worth an estimated £200 million, and over 10,000 FHPs are working in the UK today. Foot health practitioners (FHPs) can work in a variety of settings, including private clinics, NHS hospitals, and care homes. They may also choose to set up their practice. If you are interested in a career in foot health, there are a number of different courses available. The most common credential is the Level 3 Diploma in Foot Health Care. This Foot Health Practitioners (FHPs) course covers all aspects of foot health, including anatomy, physiology, pathology, and treatment. Foot Health Practitioners (FHPs) play an important role in helping people to maintain their mobility and independence. They also play a vital role in preventing foot problems from developing into more serious conditions. You Will Learn Following Things: Demonstrate a comprehensive knowledge of the anatomy and physiology of the foot. Identify and diagnose common foot conditions. Select and apply appropriate treatments for common foot conditions. Provide advice on foot care and footwear. Provide specialist care for high-risk patients. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Foot Health Practitioner. 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 After completing the Foot Health Practitioner course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? The Foot Health Practitioners (FHPs) course is ideal for anyone who is interested in a rewarding career in healthcare. The course is suitable for both beginners and experienced learners. If you are passionate about helping others and have a keen interest in foot health, then this Foot Health Practitioners (FHPs) course could be the perfect choice for you. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Foot Health Practitioner 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 Foot health practitioner: £22,000 to £35,000 per year Podiatrist: £25,000 to £40,000 per year Chiropodist: £22,000 to £35,000 per year Nail technician: £18,000 to £25,000 per year Reflexologist: £16,000 to £23,000 per year Diabetic foot care specialist: £25,000 to £40,000 per year Sports podiatrist: £25,000 to £40,000 per year Course Curriculum Foot Health Practitioner Module 01: A Comprehensive Introduction to FHP 00:18:00 Module 02: Anatomy and Physiology of Foot 00:35:00 Module 03: Systems in the Foot 00:35:00 Module 04: Foot Dermatology 00:29:00 Module 05: Examination and Diagnosis in Clinical Management 00:33:00 Module 06: Podiatry Equipment and Instrument 00:59:00 Module 07: Foot Disorders 00:36:00 Module 08: Treating Foot Disorders 00:40:00 Module 09: Diseases of the Nail and Their Treatment 00:44:00 Module 10: Management of High-Risk Patients 00:25:00 Module 11: Diabetic Foot 00:40:00 Module 12: Pedicure 00:29:00 Module 13: Reflexology 00:35:00 Assignment Assignment - Foot Health Practitioner 00:00:00

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! 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? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Course Overview: Are you ready to embark on a journey into SQL Programming? Unlock the power of data manipulation and database management with the SQL Programming Masterclass. This comprehensive course is meticulously designed throughout this masterclass to provide you with an in-depth understanding of SQL, starting from the basics and progressing to advanced topics. You will explore SQL data types, filtering and sorting data, working with functions, handle NULL values, and even diving into complex SQL concepts like joins, unions, etc. With a course duration of carefully crafted lessons, this Masterclass ensures you grasp SQL's nuances and develop the proficiency to apply these skills effectively.By the end of the SQL Programming Masterclass, you will be prepared to navigate the world of databases confidently. Enrol in this course today and start your journey! Key Features of the Course: CPD certificate upon completion 24/7 learning assistance and support Who is This Course For? This course is perfect for individuals seeking to enhance their data management and analysis skills. Whether you're a data analyst, database administrator, software developer, or professional looking to upskill, this course will empower you to harness the power of SQL programming. Prior programming experience is not mandatory, making it accessible to beginners and intermediate learners. What You Will Learn: Foundations of SQL programming: Learn the basics of SQL, database management systems, and the tools used in this course, such as PostgreSQL and SQLectron. Data manipulation: Master the art of extracting, filtering, and sorting data based on specific requirements using various SQL keywords and operators. Advanced querying techniques: Dive deeper into SQL programming by exploring functions, grouping and aggregating data, and using advanced query techniques. Data conversion and manipulation: Discover how to convert data types, concatenate strings, manipulate characters and numbers, and utilise case statements for more sophisticated queries. Joining tables: Understand the different types of joins and how to combine data from multiple tables using join operations effectively. Data modification: Learn how to insert, update, and delete records in a database, as well as manage table structures and constraints.Joining tables: Understand the different types of joins and how to combine data from multiple tables using join operations effectively. Views and schemas: Explore the concepts of views and schemas, and learn how to create and use them to organise and present data effectively. Why Enrol in This Course: Top-reviewed course: Join thousands of satisfied learners who have praised this course for its clear explanations, comprehensive content, and examples. Recently updated curriculum: Benefit from the most up-to-date information and industry best practices in SQL programming. In-demand skills: SQL programming is a highly sought-after skill in today's job market, opening up numerous career opportunities across industries. Requirements: No prior programming experience is required. All you need is a computer with an internet connection and a willingness to learn. Career Path: Upon completing the SQL Programming Masterclass, you'll have the knowledge and skills for various career paths, including: Data Analyst - Average UK salary: £35,000 per year Database Administrator - Average UK salary: £40,000 per year Business Intelligence Analyst - Average UK salary: £45,000 per year SQL Developer - Average UK salary: £40,000 per year Data Engineer - Average UK salary: £55,000 per year Software Developer - Average UK salary: £45,000 per year Data Scientist - Average UK salary: £60,000 per year Certification: Upon completing the Hygiene and Infection Control CPD Level 4 course, you will receive a CPD certificate. It demonstrates your commitment to maintaining the highest standards of hygiene and infection control. Course Curriculum 17 sections • 117 lectures • 10:47:00 total length •Introduction: 00:01:00 •Tools Used in This Course: 00:01:00 •Download PostgreSQL: 00:02:00 •Install PostgreSQL: 00:03:00 •Download SQLectron: 00:02:00 •Install SQLectron: 00:01:00 •Connect to PostgreSQL - Credentials: 00:01:00 •Connect to PostgreSQL Using SQLectron: 00:02:00 •Import Course Data Using SQLectron: 00:02:00 •FOR WINDOWS 32-BIT USERS: Download, Install, Configure & Import Data: 00:08:00 •Check Imported Data: 00:06:00 •What is a Database?: 00:01:00 •SQL Data Types: 00:02:00 •Finally Some Fun! Extracting Data Based on Requirements: 00:01:00 •Filtering Data using WHERE Keyword: 00:08:00 •Filter Data by Range Using BETWEEN: 00:03:00 •Filter Data by Set of Values Using IN: 00:03:00 •Filter Data by Date: 00:05:00 •More Filtering by Date: 00:03:00 •Another Query Filtering by Date: 00:01:00 •Filter Data by Strings: 00:04:00 •More Filtering by Strings: 00:05:00 •More Filtering by Strings 2: 00:10:00 •More Filtering by Strings 3: 00:02:00 •How to Ignore Caps when Filtering by String: 00:04:00 •AND Operator: 00:10:00 •OR Operator: 00:12:00 •NOT Operator: 00:09:00 •AND, OR & NOT Operators: Which Has the Highest Priority?: 00:06:00 •Basic Math Operations: 00:06:00 •Modulo Operator: 00:04:00 •Calculate The Net Salary for Employees: 00:06:00 •Filter Data with Math Equations: 00:03:00 •Concatenate Strings with '||' Operator: 00:06:00 •Concatenate Strings with Numbers: 00:02:00 •Give Your Report Fields A Cool Name: 00:04:00 •A Report for Payroll: 00:07:00 •Order Records by Column: 00:06:00 •Order Records by Multiple Columns: 00:12:00 •How Alias Names Cannot Be Used with WHERE: 00:02:00 •LIMIT Record Count Fetched by Your Query: 00:08:00 •Fetch A Field's Unique Values Using DISTINCT: 00:03:00 •Using DISTINCT Keyword with Multiple Columns: 00:06:00 •What is a NULL Value Anyway?: 00:05:00 •Build More Sophisticated Queries with CASE Statements: 00:10:00 •Your Knowledge So Far Under A Great Test: 00:09:00 •Let Me Introduce You to Functions: 00:04:00 •SUM Function: 00:04:00 •AVG (Average) Function: 00:04:00 •COUNT Function: 00:07:00 •MIN & MAX Functions: 00:04:00 •How To Count Your Field's Unique Values: 00:04:00 •GROUP BY Clause: Use Functions with Dimensions: 00:06:00 •GROUP BY More Than One Dimension: 00:05:00 •Now For Some Tough Workout: 00:09:00 •Filter By Aggregate Functions with HAVING Clause: 00:08:00 •Character Functions - UPPER, LOWER & INITCAP: 00:08:00 •Character Functions - CONCAT & LENGTH: 00:10:00 •Character Functions - LPAD & RPAD: 00:13:00 •Character Functions - TRIM: 00:04:00 •Character Functions - REPLACE: 00:09:00 •Character Functions - SUBSTR: 00:10:00 •Number Functions - MOD & ROUND: 00:11:00 •Number Functions - TRUNC: 00:07:00 •Selectception: A Select Query inside another Select Query!: 00:06:00 •Auto Data Conversion in SQL: 00:11:00 •Cast Date to Character: 00:10:00 •Cast Number to Character: 00:09:00 •Cast Timestamp to Character: 00:07:00 •Cast Character to Number: 00:08:00 •Cast Character to Date & Timestamp: 00:09:00 •UNION: 00:03:00 •UNION ALL: 00:02:00 •Important Note about Combining Queries: 00:02:00 •INTERSECT: 00:01:00 •EXCEPT: 00:01:00 •Employees & Departments Tables Revised: 00:03:00 •Entity Relationship Diagram (ERD): 00:09:00 •Cartesian Join: 00:09:00 •Table Aliases with Joins: 00:07:00 •Why I Don't Recommend Cartesian Joins: 00:08:00 •Inner Join: 00:06:00 •In-Depth Look into Join Types in SQL: 00:03:00 •Outer Join - Right, Left & Full: 00:08:00 •INSERT a New Record to a Table: 00:09:00 •Insert Without Specifying Column Names: 00:09:00 •UPDATE a Record's Field Values: 00:07:00 •CAUTION! How an UPDATE Query Can Go Wrong: 00:04:00 •Update a Record Using Single-Row Functions: 00:04:00 •A Good Exercise: Extract Employee's Email Address: 00:02:00 •Solution: Extract Employee's Email Address: 00:13:00 •DELETE a Table's Record: 00:06:00 •Insert Records with Nested Select Queries: 00:06:00 •SQL Data Types Revised: 00:13:00 •Bookstore Data Set: Let's Move It to Database: 00:04:00 •Create Your First Table!: 00:08:00 •Insert Data to Your New Table: 00:08:00 •Change Column Data Type: 00:07:00 •Rename Column: 00:04:00 •Add a New Column to Table: 00:04:00 •Constraints in SQL: 00:01:00 •Primary Keys: 00:14:00 •NOT NULL Constraint: 00:05:00 •UNIQUE Constraint: 00:04:00 •DEFAULT Constraint: 00:04:00 •Foreign Keys: 00:08:00 •Use Foreign Keys with Joins - Books & Publishers: 00:06:00 •Foreign Keys - Properties: 00:06:00 •Drop Column: 00:01:00 •DROP Table: 00:01:00 •Create a New Table with Select Statement: 00:05:00 •A Trick to Create an Empty Table with Select Statement: 00:03:00 •Insert New Records Using Select Statement: 00:06:00 •Views: 00:03:00 •Schemas: 00:02:00 •Create & Use Schemas: 00:04:00 •Resources - SQL Programming Masterclass: 00:00:00

Course Overview Ready to elevate your role in the world of education? Empower yourself with this comprehensive Higher Level Teaching Assistant Qualification course that can help you provide quality teaching support. This course is your key to stepping into a classroom fully prepared, empowered, and aware of the intricate dynamics that drive students' growth and development. As the course progresses, you'll be introduced to advanced modules covering child development, special educational needs, and effective teaching strategies, ensuring a comprehensive understanding of the subject. Enrol now and empower the next generation with the best academic support! Advantages you'll receive: CPD certificate 24/7 Learning Assistance Updated learning materials Compliance with standards Recognised qualification Exceptional customer service Qualification Level 4 Certificate for Higher Level Teaching Assistants (RQF) Description Advance your career potential with the 'Higher Level Teaching Assistant Qualification'. Key topics include: Role and Purpose of a Higher-Level Teaching Assistant Importance of Team Work and Workplace Collaboration Stages of Physical, Social and Intellectual Development of Children Frameworks that support child well-being Legislation and Practices Promoting Equality and Diversity Addressing and managing challenging behaviour Effective teaching strategies and communication techniques Utilising ICT for enhanced learning Constructive feedback and assessment methods Monitoring and evaluating learner's progress Qualification Purpose This qualification aims to equip learners with the in-depth knowledge and skills necessary to excel as a Higher Level Teaching Assistant. Through direct instruction and experience sharing, participants will understand their role, its impact on student outcomes, and how to navigate the complexities of primary education. Who is this course for? This Higher Level Teaching Assistant Qualification certification is: Tailored for those desiring to step into the world of teaching assistance and significantly impact primary education. Perfect for professionals already in the field but keen to elevate their skills and knowledge to a higher level. Suited for individuals passionate about teaching and looking for a comprehensive course that blends foundational understanding with advanced techniques and strategies. Entry Requirements Minimum age of 16 years to be eligible for this qualification. Employment as a teaching assistant within a school setting. Progression Successful learners may want to progress to teaching qualifications such as: Level 3 Award in Education and Training Level 4 Certificate in Education and Training Level 5 Diploma in Education and Training Total Qualification Time The Total Qualification Time (TQT) combines the hours spent on directed learning with the estimated time a student will spend on independent activities related to their studies, like homework or assessments. The overall learning time determines the credit value of a qualification, where every 10 hours of study is worth one credit. For this course, the TQT is set at 360 hours. Guided Learning Hours 'Guided Learning Hours' refers to when a student is actively guided or taught by an educator, whether a teacher, coach, or other training professional. Students receive 108 hours of guidance or direct instruction for this specific course. Method of Assessment: Assessor observation - completed observational checklists on related action plans Witness testimony Learner product Worksheets Assignments/projects/reports Record of oral and written questioning Learner and peer reports Recognition of prior learning (RPL) Career Path The Higher Level Teaching Assistant Qualification course will give you edges in various professions. Here are some careers with average UK average salaries: Higher Level Teaching Assistant: £22,000 Primary School Teacher: £30,000 Special Educational Needs Coordinator: £35,000 Education Welfare Officer: £28,000 Learning Mentor: £24,000 School Counsellor: £29,000 Child Psychologist: £40,000 Educational Consultant: £45,000 School Administrator: £23,000 Curriculum Developer: £37,000 Course Curriculum 54 sections • 74 lectures • 00:00:00 total length •Getting Started With the Course: 00:00:00 •Induction Form: 00:00:00 •Registration Entry Form: 00:00:00 •Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (quals): 00:00:00 •Assignment Preparation Guideline: 00:00:00 •Beginners Guide to Referencing: 00:00:00 •Guideline for the Observation Session: 00:00:00 •1. Purpose of a Higher Level Teaching Assistant: 00:00:00 •2. Role of a Higher Level Teaching Assistant: 00:00:00 •1. Purpose of CPD and How it Affects Practice: 00:00:00 •2. Use of Advice and Feedback to Improve Performance: 00:00:00 •1. Importance of Team Work and Identifying Different Team Roles: 00:00:00 •2. Workplace Collaboration: 00:00:00 •3. Managing and Developing the Effective Practice of Appropriate Team Members: 00:00:00 •HLTA Unit 01: 00:00:00 •1. Stages of Physical, Social and Intellectual Development: 00:00:00 •1.External and Personal Factors that Affect Child Development: 00:00:00 •2.Theories to Support Development: 00:00:00 •3. Types of Changes That Affect a Child's Development or Wellbeing: 00:00:00 •4. Referral Assessment of Special Educational Needs: 00:00:00 •1. Parents and Carers Contributions for the Development and Well-being of Children and Young People: 00:00:00 •1. Frameworks That Support Development and Well-being of Children: 00:00:00 •HLTA Unit 02: 00:00:00 •1. Legal Entitlement of Children and Young People with Special Educational Needs: 00:00:00 •1. Legislation and Codes of Practice to Promote Equality and Diversity: 00:00:00 •2. Experience and Impact of Prejudice and Discrimination and Applying Principles of Equality, Diversity and Inclusion: 00:00:00 •1. Types of Special Educational Needs and Ways of Supporting Children and Young People with Learning Difficulties: 00:00:00 •1. Effects of a Disability on Children and Young People: 00:00:00 •2. Nature of Sensory or Physical Needs and Roles and Responsibilities of Others and Assistive Technology: 00:00:00 •1. Language and Vocabulary Appropriate to the Age of the Learner, Level of Understanding and Proficiency: 00:00:00 •2. Ways of Introducing Words and Language Structures: 00:00:00 •HLTA Unit 03: 00:00:00 •1. Policies and Procedures to Promote Positive Behaviour: 00:00:00 •2. Importance of Consistency and Fairness When Applying Boundaries and Rules for Behaviour: 00:00:00 •1. Promoting Positive Values, Attitudes and Behaviour: 00:00:00 •2. Ways of Establishing Ground Rules: 00:00:00 •3. Effective Strategies to Promote Positive Values, Attitudes and Behaviour: 00:00:00 •1. Patterns and Triggers of Challenging behaviour and Actions: 00:00:00 •2. Inappropriate and Challenging Behaviour Management: 00:00:00 •3. Supporting Children and Young People to Identify and Avoid Inappropriate Behaviour: 00:00:00 •4. How to Deal with Bullying, Harassment or Oppressive Behaviour: 00:00:00 •1. Contributing to Reviews of Behaviour and Behaviour Policies: 00:00:00 •Observation Report - Unit 4: 00:00:00 •HLTA Unit 04: 00:00:00 •1. Preparing the Resources Required for Planned Learning Activities: 00:00:00 •2. Developing and Adapting Resources to Meet the Needs of Individuals and Group: 00:00:00 •3. Learning Support Strategies to Meet the Needs of Individuals and Group: 00:00:00 •4. Health, Safety, Security and Access Requirements of the Learning Environment: 00:00:00 •5. Giving Attention to Learners for Balancing the Needs of Individuals and Group: 00:00:00 •6. Assessing Learners' Participation and Progress in Activities: 00:00:00 •7. How to Provide Feedback Effectively: 00:00:00 •8. Evaluating How Own Knowledge, Understanding and Skills Impact on Practice of Individuals and Group: 00:00:00 •HLTA Unit 05: 00:00:00 •1. Effective Communication with Children and Colleagues: 00:00:00 •2. Communicating Effectively with Parents and Carers: 00:00:00 •3. Commitment to Collaborative and Cooperative Working with Colleagues: 00:00:00 •Observation Report - Unit 6: 00:00:00 •HLTA Unit 06: 00:00:00 •1. Teaching Strategies: 00:00:00 •2. Designing Opportunities for Learners to Develop Their literacy, Numeracy, ICT and Thinking and Learning Skills: 00:00:00 •3. How Learners' Prior Knowledge and Attainment Enables Them to Meet Learning Objectives: 00:00:00 •4. Appropriate Language to Suit the Age and Ability of Learners: 00:00:00 •5. Management of Individual, Group and Whole-Class Learning: 00:00:00 •6. Appropriate Teaching to Suit the Stage of the Lesson and the Needs of the Learners: 00:00:00 •1. Opportunities for Using ICT to Support Pupils' Learning and Its Impact: 00:00:00 •2. Encouraging Pupils to Use ICT to Solve Problems, Work Collaboratively and Find Out New Information: 00:00:00 •1. Providing Constructive Feedback: 00:00:00 •2. Supporting and Guiding Learners: 00:00:00 •3. Using Assessment to Diagnose Learner's Needs: 00:00:00 •1. Monitoring Learners' Learning Progress: 00:00:00 •Observation Report - Unit 7: 00:00:00 •HLTA Unit 07: 00:00:00 •Assignment Submission Checklist: 00:00:00 •Submit Your Assignments: 00:00:00

Discover the art of vegan cooking and nutrition with our Vegan Cooking Guide. Learn essential nutrients, meal planning, and cooking techniques for a healthy and sustainable plant-based lifestyle. Perfect for beginners and seasoned chefs alike!

Discover the basics of plumbing with Plumbing Level 1: Plumbing 101. Learn essential skills, from water supply systems to plumbing repairs, and gain valuable tips for success in the industry.

Office admin considers the heart of an office. He coordinates activities, distributes responsibilities, supervises staffs, keeps a record of office supplies and places order while requires. As much as efficient in administrative skill, he gets much value and demand in the corporate world. If you are interested to pursue a high position in this role, take a look at our Office Admin Diploma course. The precise contents guide you further to establish your career as an office admin in a sound bite. The course gradually teaches you the role and responsibilities of an office admin. Besides, it instructs you how to manage employees, coordinate important tasks, and motivate staffs in order to bring the utmost success of your individual as well as organizational growth. Additionally, the course enhances your skills to distinguish right and wrong to take the precise decision at the time. Overall, the course aims to ensure your top-most position in the role of an office admin, teaching you all the relevant aspects related to the job. Who is the course for? This course is ideal for those wanting to improve their base skills in office administrative tasks This course would be ideal for people who want to start working as a receptionist, office administrator, office manager, administrative assistant or personal assistant Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of the English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Administrative Management Module One - Getting Started 00:05:00 Module Two - Why Your Office Needs Administrative Procedures 00:05:00 Module Three - Gathering the Right Tools 00:05:00 Module Four - Identifying Procedures to Include 00:05:00 Module Five - Top Five Procedures to Record 00:05:00 Module Six - What to Include in Your Binder (I) 00:05:00 Module Seven - What to Include in Your Binder (II) 00:05:00 Module Eight - Organizing Your Binder 00:05:00 Module Nine - What Not to Include in the Procedure Guide 00:05:00 Module Ten - Share Office Procedure Guide 00:05:00 Module Eleven - Successfully Executing the Guide 00:05:00 Module Twelve - Wrapping Up 00:05:00 Business Writing Module One - Getting Started 00:30:00 Module Two - Working with Words 01:00:00 Module Three - Constructing Sentences 01:00:00 Module Four - Creating Paragraphs 01:00:00 Module Five - Writing Meeting Agendas 01:00:00 Module Six - Writing E-mails 01:00:00 Module Seven - Writing Business Letters 01:00:00 Module Eight - Writing Proposals 01:00:00 Module Nine - Writing Reports 01:00:00 Module Ten - Other Types of Documents 01:00:00 Module Eleven - Proofreading and Finishing 01:00:00 Module Twelve - Wrapping Up 00:30:00 Office Management Building Your Management Team 01:00:00 Building A Successful Brand 01:00:00 Achieving Quality Through Teamwork 00:30:00 Keys To Staying Motivated 00:30:00 Improve Your Marketing 01:00:00 Provide Top Customer Service 00:30:00 Wrapping Up 00:30:00 Bookkeeping & Payroll Module One - Introduction 00:30:00 Module Two - Basic Terminology 01:00:00 Module Three - Basic Terminology (II) 01:00:00 Module Four - Accounting Methods 01:00:00 Module Five - Keeping Track of Your Business 01:00:00 Module Six - Understanding the Balance Sheet 01:00:00 Module Seven - Other Financial Statements 01:00:00 Module Eight - Payroll Accounting Terminology 01:00:00 Module Nine - End of Period Procedures 01:00:00 Module Ten - Financial Planning, Budgeting and Control 01:00:00 Module Eleven - Auditing 01:00:00 Module Twelve - Wrapping Up 00:30:00 Microsoft Office Word Module One - Getting Started 00:30:00 Module Two - Opening 01:00:00 Module Three - Working with the Interface 01:00:00 Module Four - Your First Document 01:00:00 Module Five - Basic Editing Tasks 01:00:00 Module Six - Basic Formatting Tasks 01:00:00 Module Seven - Formatting Paragraphs 01:00:00 Module Eight - Advanced Formatting Tasks 01:00:00 Module Nine - Working with Styles 01:00:00 Module Ten - Formatting the Page 01:00:00 Module Eleven - Sharing Your Document 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities- Microsoft Word for Beginners 00:00:00 Microsoft Office Powerpoint Module One - Getting Started 00:30:00 Module Two - Opening PowerPoint 01:00:00 Module Three - Working with the Interface 01:00:00 Module Four - Your First Presentation 01:00:00 Module Five - Working with Text 01:00:00 Module Six - Formatting Text and Paragraphs 01:00:00 Module Seven - Adding Pictures 01:00:00 Module Eight - Advanced Formatting Tasks 01:00:00 Module Nine - Working with Transitions and Animations 01:00:00 Module Ten - Setting Up Your Slide Show 01:00:00 Module Eleven - Showtime! 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities-Microsoft PowerPoint for Beginners 00:00:00 Microsoft Office Excel Module One - Getting Started 00:30:00 Module Two - Opening Excel 01:00:00 Module Three - Working with the Interface 01:00:00 Module Four - Your First Worksheet 01:00:00 Module Five - Viewing Excel Data 01:00:00 Module Six - Building Formulas 01:00:00 Module Seven - Using Excel Functions 01:00:00 Module Eight - Using Quick Analysis 01:00:00 Module Nine - Formatting Your Data 01:00:00 Module Ten - Using Styles, Themes, and Effects 01:00:00 Module Eleven - Printing and Sharing Your Workbook 01:00:00 Module Twelve - Wrapping Up 01:00:00 Mock Exam Mock Exam - Office Admin Diploma 00:30:00 Final Exam Final Exam - Office Admin Diploma 00:30:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00