20533 Courses

Course Information This highly interactive course will provide guidance on why and how to implement a quality system successfully into the research laboratory. By doing so, you will position your innovation for the success it deserves. But leave things as they are and there is a good chance that your science will not realise its full potential should success, and its consequences, come your way. A quality system in your research laboratory is the most effective and efficient way to: Help scientists work more efficiently Ensure discoveries can be defended Protect the value of intellectual property. This course is particularly aimed at those working in early phase research environments which are not constrained by the regulatory requirements of the Good Practice regulations but are producing intellectual property, testing and/or products for the therapeutic market. For organisational reasons, rather than regulatory ones, this is a place where you need to get it right. The programme is delivered by leaders in the field who, quite simply, ‘have done it’. Whether delegates are at senior management level seeking strategic direction, a laboratory head wishing to deliver science that will stand the test of time or a quality professional thrown in at the deep end, this course will provide key insight and practical guidance to underpin future success. Based on risk based systems, tried and tested over many years in the workplace, the programme will help delegates to define, train, implement and monitor the quality of their research, irrespective of field or discipline. Delegates will learn how to help position their organisation for success. Course content: Delegates will be guided thoughtfully through each key component of the process in a stimulating learning environment. The course probes all avenues of the research quality arena, from an initial understanding of the cultural aspects of the scientific discovery environment, to managing quality in outsourced research programmes. Computer systems and e-data security in the research environment will be discussed and pragmatic solutions described to help manage the ballooning cloud of e-data. In addition, the ever blurring boundary between the regulated and non-regulated research environments will be discussed and delegates given perspective on future developments in the field. With this knowledge, delegates will be able to get it ‘right first time’. Is this course for you? The course is designed for all those involved in the research laboratory quality arena and it has been tailored to meet the needs of scientific management, bench scientists and quality professionals alike. Delegates get immediate access to highly experienced tutors who will share their wisdom and insights in an area where few others have been successful. The course is linked with the RQA guidance which builds on years of experience and forms the foundation of the programme. Tutors Tutors will be comprised of (click the photos for biographies): Louise Handy Director, Handy Consulting Ltd Sandrine Bongiovanni Associate Director in Research and Quality Compliance, Novartis Programme Please note timings may be subject to alteration. Day 1 09:00 Registration 09:10 Welcome and Introductions 09:20 History and Overview of the Field Examples of business and regulatory risks and the consequences of low quality in research. A look at the standards and guidelines that exist. 10:00 The Culture, the Politics and the Scientist's Perspective Understanding research environments, the drivers and the challenges. 10:30 Break 10:45 Workshop - Risk Management Thinking about risk management and prioritisation. Looking at the critical factors for the implementations of a successful quality system. 12:15 Workshop - Feedback 12:45 Lunch 13:45 Personnel, Plans, Procedures, Facilities, Equipment, Materials and Reagents Looking at planning the work, defining procedures in a way which promotes robust science without compromising brilliance and ensuring that all these elements are demonstrably fit for their intended purpose. 14:30 Workshop - Assay Validation How much validation is required at what stage? What do we need to validate an assay? 15:00 Workshop - Feedback 15:15 Research, Work Records, Archives and Research Review Data and records which are accurate, attributable, legally attestable and safe to permit reconstruction experiments and studies. Looking at aspects of the work where there is a chance to review, correct or improve the science, the data and the processes. 16:15 Continual Improvement and Quality Systems Reviewing implementation of a quality system, finding opportunities for improvement, understanding culture change. 16:45 Questions and Answers 17:00 Close of Course Extra Information Course Material This course will be run completely online. You will receive an email with a link to our online system, which will house your licensed course materials and access to the remote event. Please note this course will run in UK timezone. The advantages of this include:   Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course Access to an online course group to enhance networking. You will need a stable internet connection, a microphone and a webcam. CPD Points 7 Points   Development Level Develop

Duration 1 Days 6 CPD hours This course is intended for This course is intended for managers, team leads, and individual contributors on techniques and best practices for continual improvement of themselves as leaders. Overview Define leadership. Assess your own leadership traits. Establish your leadership development plan. Develop your communication skills. Build your reputation. You have transitioned from an individual contributor to a manager, or as an individual contributor, you\'ve acquired practical skills to enhance your leadership abilities. When you want to take your leadership skills to the next level, you assess your leadership traits, develop your communication skills, and build your reputation. These strategies can increase your ability to effectively influence others and get results. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. Prerequisites Students taking this course should have completed the course: Practical Leadership (Second Edition) 1. Defining Leadership Topic A: Identify Leadership Attributes Topic B: Identify Leadership Responsibilities 2. Assessing Your Leadership Traits Topic A: Assess Your Leadership Characteristics Topic B: Determine How Colleagues View Your Leadership Topic C: Evaluate Factors that Affect Your Leadership 3. Establishing Your Leadership Development Plan Topic A: Identify Your Destination Topic B: Establish Your Map Topic C: Build a Leadership Development Plan 4. Developing Your Communication Skills Topic A: Upgrade Your Listening Skills Topic B: Improve Your Communication Effectiveness 5. Building Your Reputation Topic A: Establish Your Credibility Topic B: Use Influence to Get Results Additional course details: Nexus Humans Developing Yourself as a Leader (Second Edition) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Developing Yourself as a Leader (Second Edition) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

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Are you a teacher looking to obtain QTLS - Qualified Teacher Learning and Skills status or enhance your teaching skills? You are at the right place! This comprehensive Level 5 Diploma in Education and Training | DET will equip you with the required skills to work as a teacher in the UK. This nationally recognized education and training diploma will help you advance to higher studies and become a well-trained teacher in the field of lifelong learning. No Previous Experience Needed Available to individuals from all backgrounds, regardless of their previous work experience Unlimited Tutor Support With endless support from an expert tutor, learning has never been simpler Recognised Qualification Ofqual regulation and NCFE accreditation make this course a highly reputable qualification in the industry Interest Free Instalment Plan Pay in 12 interest-free instalments and spread the cost of your purchase over time Fast Track Accelerate your success and start your rewarding career faster with the fast track program Exam Pass Guarantee We are committed to your success and will work closely with you to ensure your success in the exam Diploma in Education and Training (DET) and Post Graduate Certificate in Education (PGCE) are the same qualification. The employers do not discriminate based on the title or where you obtained the qualification. This DET qualification will help to get Qualified Teacher Learning and Skills (QTLS) status. QTLS is a professional status recognised in the Education sector. Course Highlights Course Type: Online Learning Guided Learning Hours (GLH): 360 Hours Teaching Practice Hours: 100 Hours (8 hours of observations of teaching practice) Accreditation: NCFE Qualification: Ofqual Regulated Access: 1 Year Access Certificate: Certificate upon completion (hard copy) Tutor Support- Personalised feedback on all your assignments Customer Support: 24/7 live chat available Level 5 Diploma in Education and Training This Level 5 Diploma in Education and Training | DET will set you up with the appropriate qualifications and adequate credentials that are required for you to have expertise in the field of teaching. NCFE accredits and Ofqual regulates this course, which enhances your resume as a nationally recognised qualification. Upon successful completion of this course, you will gain extensive teaching skills and knowledge to evaluate, create resources, and assist students to reach their full potential.  Learning Outcomes By the end of this Level 5 Diploma in Education and Training | DET, you will: Learn to plan and deliver inclusive teaching using various approaches and models. Use behaviour management techniques to create a safe and welcoming environment. Evaluate learning using assessment theories and reflective practices. Understand how to conduct diagnostic assessments and organize inclusive teaching. Recognize the importance of professionalism and accountability in education and training. Support quality assurance and improvement efforts and understand education policies. Who should take this course? This extensive Level 5 Diploma in Education and Training is suitable for:  Aspiring teachers Anyone looking to teach young people at school Anyone looking to teach adult people at a higher education level Anyone aiming to achieve Qualified Teacher Learning and Skills Status (QTLS) Entry Requirements This Level 5 Diploma in Education and Training | DET is available to all students of all academic backgrounds. No experience or previous qualifications are required.  Applicants must be 19 years of age or over. Before pursuing level 5 education and training, individuals are not required to have completed level 3 or level 4 education and training. Assessment structureAssignment Students must complete a number of brief assignments for each section of the award. The guidelines are designed to assess you according to the following criteria. Each of the ten modules in this qualification has assignments. The assignments can include calls for product evidence such as lesson plans, teaching materials, and other related paperwork. Completing these assignments will allow you to fully engage with and apply the teaching and learning cycle, with feedback provided by your tutor after review. Teaching Assessment In order to properly evaluate your teaching skills, you must submit a teaching assessment that will be based on the following guidelines: You must observe for a minimum of 8 hours. Each observation should last at least 30 minutes. This means you can do 16 observations at 30 minutes or 8 observations at 1 hour each. Either way, you must complete 8 hours of observation. A teacher with appropriate credentials must complete this witness testimony. In exceptional cases, we may also arrange a video link with your tutor to complete these observations. For this training, there is no prerequisite in terms of prior experience. To get your completion certificate, however, you must complete 100 hours of classroom teaching experience throughout the course. You will need to find an expert witness with a level 5 diploma in education and training to observe your practical teaching demonstration. If you prefer, we can help you by providing an expert witness for an additional fee of £250 + VAT for 8 hours. You'll have to keep a record of teaching practise hours and observations in the provided teaching log. Additionally, you'll need to provide a teaching record and documentation of continuous personal development As previously stated, one must observe practice for at least eight hours. These observations must correspond to the following essential units: Teaching, learning and assessment in education and training (level 4) Developing teaching, learning and assessment in education and training (level 5) Progression Opportunities Upon successfully attaining the NCFE Level 5 Diploma in Education and Training, you can: Work towards attaining Qualified Teacher Learning and Skills (QTLS) Improve your chances of getting a promotion Obtain employment in a variety of teaching roles Course Curriculum Course Overview Course Overview - Level 5 Diploma in Education and Training Lesson 1: Roles Responsibilities of Teachers in Education Learning Lesson 1: Roles Responsibilities of Teachers in Education Learning Lesson 2 : Pedagogical Principles Theory and Practice Lesson 2 : Pedagogical Principles Theory and Practice Lesson 3 : Functional Skills and the Minimum Core Lesson 3 : Functional Skills and the Minimum Core Lesson 4 : Planning in Education and Learning Lesson 4 : Planning in Education and Learning Lesson 5 : Selecting, Creating and Using Resources Lesson 5 : Selecting, Creating and Using Resources Lesson 6 : Augmenting Communication through Teaching Strategies Lesson 6 : Augmenting Communication through Teaching Strategies Lesson 7 : The Assessment Process Lesson 7 : The Assessment Process Lesson 8 : Managing Learners Lesson 8 : Managing Learners Lesson 9 : Professionalism and Continued Professional Development Lesson 9 : Professionalism and Continued Professional Development Lesson 10 : Developing Designing Curriculum Lesson 10 : Developing Designing Curriculum Lesson 11 : The Professional Practice Quality Management Lesson 11 : The Professional Practice Quality Management Additional Resource Additional Resource - Level 5 Diploma in Education and Training Assignment 1: Developing Teaching, Learning and Assessment in Education and Training Assignment 1 - Developing Teaching, Learning and Assessment in Education and Training Assignment 2: Teaching, Learning and Assessment in Education and Training Assignment 2 - Teaching, Learning and Assessment in Education and Training Assignment 3: Theories, Principles and Models in Education and Training Assignment 3 - Theories, Principles and Models in Education and Training Assignment 4: Wider Professional Practice and Development in Education and Training Assignment 4 - Wider Professional Practice and Development in Education and Training Assignment 5: Develop Learning and Development Programmes Assignment 5 - Develop Learning and Development Programmes Assignment 6: Identify the Learning Needs of Organisations Assignment 6 - Identify the Learning Needs of Organisations Assignment 7: Internally Assure the Quality of Assessment Assignment 7 - Internally Assure the Quality of Assessment Assignment 8: Understanding and Managing Behaviours in a Learning Environment Assignment 8 - Understanding and Managing Behaviours in a Learning Environment Assignment 9: Understanding the Principles and Practices of Internally Assuring the Quality of Assessment Assignment 9 - Understanding the Principles and Practices of Internally Assuring the Quality of Assessments Assignment 10: Working with Individual Learners Assignment 10 - Working with Individual Learners Recognised Accreditation This Level 5 Diploma in Education and Training | DET is independently accredited by NCFE and regulated by Ofqual. It is a nationally recognised qualification that will help you pave your path to higher education and fulfil the entry requirements of any skilled-oriented job. About NCFE The National Council for Educational Awarding (NCFE) is a national educational awarding organisation that creates, develops, and accredits a range of widely accepted qualifications and awards, including those for online courses. The NCFE Functional Skills certificate is the best option for students who want to gain useful, transferable skills that will enable them to function freely, with self-assurance, and effectively in the real world. Certificate of Achievement Upon successful completion of this Level 5 Diploma in Education and Training | DET and passing the internal assessments, and practical teaching assessments, you will be awarded the qualification: NCFE Level 5 Diploma in Education and Training which is valued by all employers in the UK and globally. FAQs What is a level 5 diploma equivalent to? The Level 5 Diploma in Education and Training qualification is equivalent to the Certificate of Education (CertEd). Additionally, it is equivalent to the second year of a bachelor's degree in the UK. What can I do with a Level 5 diploma in education and training? You can advance to further vocational study, apply for Qualified Teacher Status (QTLS), and earn a Bachelor of Arts in Education or a BA in Education (BEd). Besides these progression opportunities, you can also enhance your resume and increase your chances of getting hired. What is a BTEC equivalent to? BTEC Firsts are Level 2 qualifications, which are the same as GCSE coursework. The level of BTEC Nationals is Level 3, which is the same as A-level study. BTEC Higher Nationals are at the same academic level as the first two years of a degree program (Level 4/5 studies). Do I have to conduct my practical evaluation in a real classroom or workplace? For the Level 5 Diploma in Education and Training qualification, you must be seen teaching in an actual classroom; simulation is not allowed, and your observations must be conducted in an actual classroom. Who should complete the course's observations for the practical evaluation? This witness testimony must be provided by an expert with a Level 5 Diploma in Education and Training. For an additional charge of £250 + VAT for 8 hours, if you'd prefer, we can also assist you by providing an expert witness. How is this course assessed? The course is evaluated through the submission of eight observations of your teaching in a classroom environment and writing assignments based on the course's sections. You will also be required to provide an evidence log showing that you have completed at least 100 hours of teaching. Can I submit my assignment again? Your instructor will provide feedback and the option to resubmit assignments if additional work is required. How can I produce evidence to support my lessons? The teaching session must be recorded using a smartphone, tablet, or other camera device and uploaded to your web portal in order to be graded. In addition to that, you must also provide product evidence such as lesson plans, teaching materials, and other related paperwork How much time will it take to complete this course? For the supervised study, 360 hours are allotted. However, the total amount of time we anticipate you to spend on this award, including all the research and writing tasks is 1200 hours. These hours can be distributed in any way you desire as you have the choice to complete the course whenever it's convenient for you over the course of a year. Should I obtain the level 3 award or the level 4 certificate before taking this course? It is not necessary to have finished the level 3 award in education and training or the level 4 certificate in education and training before enrolling in this course. Will this course qualify me for the Qualified Teacher Learning and Skills Status (QTLS)? The Level 5 Diploma in Education and Training will provide you with the opportunity and skills to apply for QTLS, while it does not automatically grant you this status. For how long can I access this course? You have a year to access this course, so you can complete it at your own pace and convenience. Can I teach infants and children with a level 5 diploma in education and training? Since the majority of the training is geared toward adults, you won't be able to work with young children or teach in primary settings. Do I have to finish the 100 hours of teaching before I sign up for this course? There is no prerequisite in terms of prior knowledge for this training. However, you must complete 100 hours of classroom teaching experience throughout the course to receive your completion certificate. Can I use a smartphone or a tablet to study? With no time limit on completion, our online courses are accessible for life. If there is a safe internet connection, every course is fully accessible from a tablet, phone, or laptop. What will I receive once the course is over? You will be able to order the NCFE-recognised Level 5 Diploma in Education and Training, which is governed by Ofqual, after completing the assignments and the teaching assessment. What is the difference between Level 3, Level 4 and Level 5 Education and training? Education and training levels differ in the depth of knowledge and skills acquired. Level 3 is foundational, Level 4 is subject-specific, and Level 5 is for higher expertise. Completing Level 5 can lead to Qualified Teacher Learning and Skills status. To be able to teach Level 2, one must undertake Level 3; for both Level 2 and 3, Level 4 must be completed; and for all three levels, one must take Level 5. What is the difference between QTS and QTLS? QTS is for teaching up to age 16, while QTLS covers beyond that. QTS is necessary for teaching young students, while QTLS is ideal for teaching at a higher education level. QTS requires an intensive course with work practice, while QTLS requires sector competence and 100 hours of teaching experience.

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Getting Started The OTHM Level 3 Foundation Diploma in Accountancy provides learners with a solid basis for pursuing a career in various organisations involving financial management and accountancy. This program is structured to guarantee that each learner not only acquires knowledge in accountancy but also develops the capabilities to swiftly adapt to changing circumstances and advance in their educational journey. Key Benefits Learners get a basic understanding of how to record financial transactions. Learners learn what is needed to record financial transactions accurately and completely. Exploring how income and expenditure are classified and managed. Accounting approaches utilised for items of capital and revenue expenditure and income. Preparing principal source documents and Books of Prime (Original) Entry for business transactions. Key Highlights Are you aspiring to have a career in various organisations with financial management and accountancy? Then, the OTHM Level 3 Foundation Diploma in Accountancy is the ideal starting point for your career journey. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our OTHM approved tutors, who would be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 3 Foundation Diploma in Accountancy can open many career pathways including, but not limited to: Budget analyst with an estimated average salary of £42,100 per annum Public accountant with an estimated average salary of £20,265 per annum Accounting assistant with an estimated average salary of £23,250 per annum Accounting clerk with an estimated average salary of £30,566 per annum Bookkeeping assistant; with an estimated average salary of £20,967 per annum   About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. Assessment Time-constrained scenario-based assignments No examinations Entry Requirements Learners must be 18 years of age and Demonstrate the ability to undertake the learning and Assessment A learner not from a majority English-speaking country must provide evidence of English language competency. Progression   Learners completing the OTHM Level 3 Foundation Diploma in Accountancy will allow progress to : Wide range of undergraduate programmes, including OTHM Level 4 Diploma in Accounting and Business.   Why gain a OTHM Qualification?   Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation); hence, the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge every employer seeks. The learners pursuing an OTHM qualification will obtain an opportunity to enhance learning and grow key competencies to tackle situations and work on projects more effectively, which will, in turn, give learners the potential to get promotions within the workplace. Alternatively, it allows them to progress onto an MBA top-up/Bachelor's degree / Master's degree programme around the World. Flexible study options- All OTHM qualifications have a credit value, which tells you how many credits are awarded when a unit is completed. The credit value will indicate how long it will normally take you to prepare for a unit or qualification.   Three different types of qualification are The award is achieved with 1 - 12 credits The certificate is completed with 13 - 36 credits The diploma is completed with at least 37 credits The OTHM Level 3 Foundation Diploma in Accountancy consists of 3 mandatory units for a combined total of 60 credits, 600 hours Total Qualification Time (TQT) and 240 Guided Learning Hours (GLH) for the completed qualification. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Recording Financial Transactions Reference No : R/617/3339 Credit : 20 || TQT : 200 This unit aims to provide learners with a foundational grasp of the process of documenting financial transactions. This unit encompasses the essentials for accurately and comprehensively recording financial transactions, including using source documents. Lastly, it delves into the categorisation and handling of income and expenditures. UNIT2- Management Information Reference No : L/617/3338 Credit : 20 || TQT : 200 This unit aims to enhance learners' understanding of cost and management accounting, as well as the significance of management information. This unit also introduces the application of Information and Communication Technology (ICT) in the management information recording process and examines its benefits and drawbacks. UNIT3- Maintaining Financial Records Reference No : J/617/3337 Credit : 20 || TQT : 200 This unit aims to impart to learners the rationale behind the necessity for maintaining financial records. It also focuses on equipping learners with the skills to employ the double-entry bookkeeping system and to create both a three-column cash book and a bank reconciliation statement. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

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The IMI Four Wheel Alignment course is 2 1/2 days in duration and is aimed at Technicians involved with carrying out light vehicle wheel alignment. It is advised that candidates should have a minimum of 3 months practical wheel alignment experience but courses of longer duration can be arranged for those people requiring it. Successful candidates will receive an IMI Quality Approved Award in Steering & Wheel alignment. As well as being recognised throughout the Motor Industry, this qualification will also count towards the NTDA tyre Technician Professional Development Scheme’s Licenced Retail Tyre Technician licence. PLEASE NOTE THIS COURSE FOCUSES ON THE FUNDAMENTALS OF WHEEL ALIGNMENT AND NOT ON ANY PARTICULAR TYPE OF WHEEL ALIGNMENT EQUIPMENT. Course Details: Classroom based theory session Workshop practice session Examination and assessment Course Fees £499.00 + VAT Per Candidate *Please contact us for group rates and onsite training Course Content Theoretical Health & Safety Components, functions & Layout of vehicle steering systems Steering angles and how they work together Common faults associated with steering systems 4 wheel alignment Practical Pre-alignment vehicle inspection. Carry out 4 wheel alignment. Carry ou a thrust angle alignment IMI assessment and test A multi-choice theory question paper Two practical assessments, observed by an IMI approved assessor.   What’s included Fully qualified and experienced trainer Course booklet Examinations Fees and Certification One year IMI membership To find out more, please use the live chat function, visit our contact page or call us on 024 76325880