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Effectively oversee the planning, design, and execution of a building project with the Construction Management Diploma Level 5 course. This certificate program is designed to teach fundamental methods of construction and management, covering all aspects of construction projects, from planning and scheduling to management theories and cost estimation. You will also explore the project delivery and production process, project control techniques, and how to schedule construction materials. Throughout this construction project management course, you will develop essential management skills and practical, real-world knowledge, to boost your professional development. This course is ideal for those who already work in the construction industry and are seeking a more senior role. Learning Objective: Understand the role and responsibilities of a Construction Manager Identify the different elements of the design and construction process Explore methods of project delivery and current industry trends Develop your problem-solving, communication and decision-making skills Learn the characteristics of a successful construction project Explore estimation strategies for working out the cost of a construction project Demonstrate a solid understanding of modern construction planning Familiarise with construction materials and equipment safety procedures Explore the basic components of a supply chain management system Who is This Course for? This Construction Management Diploma Level 5 is ideal for beginners who want an introduction to this field to develop the essential skills required for project planning, design and construction work. No previous experience is required to enrol and learners from all academic backgrounds will benefit from this specialist beginners training. Train online from the comfort of your own home and study at your own pace, with our distance learning program. On successful completion, learners will receive a certificate of achievement, which will help them to advance their career opportunities in this field. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the course. Good understanding of English language, numeracy and ICT are required to attend this course. Career Path: After completing your online studies, you will have the opportunity to explore a wide range of job roles within the field of construction management, including: Construction Manager Assistant Project Manager Development Project Manager Building Inspector Construction Assistant Construction Supervisor Project Assistant Course Curriculum Module 01: Introduction to Construction Management Introduction to Construction Management 01:00:00 Assessment Module 01 Module 01 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 02: Construction Project Stages Construction Project Stages 01:00:00 Assessment Module 02 Module 02 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 03: Estimating Construction Project Costs Estimating Construction Project Costs 00:30:00 Assessment Module 03 Module 03 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 04: Construction Project Planning Construction Project Planning 00:40:00 Assessment Module 04 Module 04 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 05: Site Organisation in the Construction Industry Site Organisation in the Construction Industry 00:40:00 Assessment Module 05 Module 05 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 06: Construction Resource Management Construction Resource Management 00:40:00 Assessment Module 06 Module 06 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 07: Subcontracting in the Construction Industry Subcontracting in the Construction Industry 00:30:00 Assessment Module 07 Module 07 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 08: Construction Cost and Time Control Part 1: Construction Cost Control 00:35:00 Part 2: Time Management in the Construction Industry 00:30:00 Assessment Module 08 Module 08 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 09: Equipment Cost Management Equipment Cost Management 00:20:00 Assessment Module 09 Module 09 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 10: Elements of Contractor Failure Elements of Contractor Failure 00:25:00 Assessment Module 10 Module 10 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 11: Supply Chain Management in the Construction Industry Supply Chain Management in the Construction Industry 00:20:00 Assessment Module 11 Module 11 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 12: Quality Management in the Construction Industry Quality Management in the Construction Industry 00:30:00 Assessment Module 12 Module 12 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 13: Human Resources Management Human Resources Management 00:45:00 Assessment Module 13 Module 13 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 14: Risk Analysis and Management Risk Analysis and Management 00:25:00 Assessment Module 14 Module 14 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 15: Health and Safety in the Construction Industry Part 1: Key Legislation and Regulations for The Construction Industry 00:30:00 Part 2: Managing Safety within the Construction Industry 00:20:00 Assessment Module 15 Module 15 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 16: Sustainability and the Environment Sustainability and the Environment 00:25:00 Assessment Module 16 Module 16 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00

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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

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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

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