1434 NVQ courses in Verwood delivered Online

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***Note: Offer is Valid for the First 10 Learners Only*** With over 900,000 vocational assessments conducted annually in the UK, certified assessors are in high demand. Qualified assessors can earn up to £30,000 annually, offering financial stability and growth potential. Our Focus Awards Level 3 Certificate in Assessing Vocational Achievement (RQF) would help you to become a qualified assessor ready to start a bright career in versatile job sectors. The Level 3 Certificate in Assessing Vocational Achievement (RQF) course will give you a competitive advantage in your workplace. In a job market where vocational skills are at a premium, this course will equip you with the expertise to assess and validate learners' competence in various vocational fields. You'll become an invaluable asset to employers and educational institutions. Why this Job Ready Program is a Perfect Package for You! So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our {Course_Title}: Personalised Guidance: Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in Business Analysis. One-On-One Consultation Sessions with Experts: Gain invaluable insights and guidance from seasoned professionals. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise. Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking professionals. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Our aim is to maximise your employment prospects and provide you with a range of exciting opportunities to choose from. Interview Preparation: We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. Get Unlimited Access to Entire Library: Enjoy unlimited access to our entire course library for a year. Seize this golden opportunity to advance your skills and achieve new heights! Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. Our Level 3 Certificate in Assessing Vocational Achievement (RQF) course is tailor-made for those hungry for career success. Whether you're an aspiring educator or looking to pivot into a rewarding field, our Focus Awards Level 3 Certificate in Assessing Vocational Achievement (RQF) equips you with the skills and knowledge to excel. Enrol fast and excel in your career. Why choose focus awards? Focus Awards is recognized and regulated by Ofqual (The Office of Qualifications and Examinations Regulation) in the United Kingdom. Ofqual is the government body responsible for maintaining the standards and regulating qualifications, examinations, and assessments in England. Their recognition ensures that Focus Awards' qualifications meet the required standards and are widely accepted by educational institutions and employers across the UK. Besides, Focus Awards set high standards, giving you a fantastic education and official recognition for your skills. Benefits you will gain from this Focus Awards Level 3 Certificate in Assessing Vocational Achievement (RQF): High-Quality Digital Learning Materials 24/7 Accessible Course Modules User-Friendly E-Learning Platform Education Meeting Industry Standards Internationally Recognized Certification Exceptional Customer Support Services Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training In the Level 3 Certificate in Assessing Vocational Achievement (RQF), there are 3 compulsory modules. These are: Understanding the Principles and Practices of Assessment Assessing Occupational Competence in the Work Environment Assessing Vocational Skills, Knowledge and Understanding. The Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training Training aims to improve the potential of the students to: Understand the primary roles and duties of a qualified assessor. Monitor and evaluate candidates professionally at work or in training settings. Collect and assess the evidence of expertise. Conduct evaluation tasks effectively, make assessments and offer detailed feedback. Examine occupational competencies across a wide range of qualifications. Learn how to evaluate vocational and training skills using a variety of assessment tools and methods. Get familiar with the main concepts and mechanisms underlying the assessment strategies. The Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training Training is designed to develop the students' ability to: Understand the key role and responsibilities of an assessor Successfully observe and assess candidates in the workplace or training environment Plan, allocate and inspect work in their individual area of responsibility Collect and assess evidence of competence Successfully carry out all assessment activities, make decisions and provide thorough feedback Assess vocational competencies in a variety of qualifications Gain the skills and knowledge to assess vocational and training abilities using a range of assessment methods Understand the key principles and processes of assessment strategies Become successful in their chosen field as well as in their chosen career path Monitor and maintain records, analyse deficiencies, and lead corrective action efforts Qualification Purpose of This Level 3 Assessor Training Qualification - CAVA These qualifications equip students with the opportunity of improving their skills, knowledge and comprehension to take on the role of a professional assessor. This certification is designed for those who evaluate occupational competence in the workplace as well as vocational abilities, experience, and comprehension in a workshop, classroom, or any other training environment. All of the assessment measures mentioned in the units must be supported by evidence. Progression of Level 3 Assessor Training Qualification - CAVA After successful completion of the Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training, learners can advance with the newly gained skills and knowledge from this complete learning package, as well as be eligible for further qualifications Total Qualification Time of Level 3 Assessor Training Qualification - CAVA This is an estimation of the overall amount of time a student is normally supposed to take to reach and show the required level of achievement to obtain the certification and. all learning outcomes. Total Qualification Time (TQT) is composed of GLH and an estimation of how many hours a learner is expected to spend on training, study, or some other learning form, including evaluation, that is led by but not supervised by an instructor, supervisor, or tutor. TQT determines the creditworthiness of qualification if one is granted since one credit equals 10 hours of study. Total Qualification Time for this qualification is 150 hours. Guided Learning Hours of Level 3 Assessor Training Qualification - CAVA These hours include all real-time contact time with a learner, as well as any guidance or oversight provided by an instructor, educator, or other suitable education or training provider. GLH for this qualification is 84 hours. Method of Assessment of this Level 3 Assessor Training Qualification - CAVA: CAVA Unit One: In Unit 1, a number of writing assignments has to be submitted. CAVA Unit Two: In Unit 2, an assessment needs to be done in the workplace to evaluate learner's work, professional discussions with audio-video evidence. CAVA Unit Three: In Unit 3, after evaluating learners in a training setting, you have to be assessed by giving your work items with audio-video evidence. Video Assessment: Proof of supported work product must be prepared for 15-30 minutes, including observation, questioning/professional discussions and inspection. In the 'Guidance for Achieving the Unit' section of your learning portal, you will find detailed assessment guidelines. Assessment exercises consist of completing a few short assignments. You are expected to demonstrate proof of general reading and to include references in your work. All assignments should be submitted via the online portal. Who is this course for? Level 3 Assessor Training Qualification - CAVA Anyone who wants to assess learners in both classroom and work environment, ideally a Teacher or Assessor who wants to work in a college. Requirements Level 3 Assessor Training Qualification - CAVA The learner must be of the age of 18 and above The learner must have level 2 skills pf English or numeracy Career path Vocational Assessor Training and Development Specialist Education Consultant Quality Assurance Manager Apprenticeship Coordinator Further Education Lecturer Workplace Training Coordinator Certificates Hard Copy Certificate Hard copy certificate - Included

Begin your journey towards a rewarding and successful career by enrolling in our all-inclusive bundle of 8 Level 7 (QLS) Business Development, Management and Analysis courses. At UKHF Online, we have carefully selected and combined these courses to equip you with the vital skills and knowledge necessary to thrive in Level 7 (QLS) Business Development, Management and Analysis . Whether you're a student, recent graduate, or job seeker, our Level 7 (QLS) Business Development, Management and Analysis bundle is designed to enhance your CV, impress potential employers, and set you apart from the competition. Key Features of the Level 7 (QLS) Business Development, Management and Analysis Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Level 7 (QLS) Business Development, Management and Analysis bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Business Development QLS Course 02: Business Management QLS Course 03: Business Analysis 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Financial Modelling for Decision Making and Business plan Course 02: Branding Your Business Course 03: AML for Business Owner Course 04: Business Law & Commercial Law Course 05: Compliance & Business Risk Management In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Level 7 (QLS) Business Development, Management and Analysis courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes of the Level 7 (QLS) Business Development, Management and Analysis Bundle: Master the foundational principles and techniques of Level 7 (QLS) Business Development, Management and Analysis . Develop advanced proficiency in Level 7 (QLS) Business Development, Management and Analysis methodologies and strategies. Acquire in-depth knowledge of the latest trends and advancements in Level 7 (QLS) Business Development, Management and Analysis . Enhance your problem-solving and critical thinking abilities within the context of Level 7 (QLS) Business Development, Management and Analysis . Cultivate strong communication and collaboration skills essential for success in Level 7 (QLS) Business Development, Management and Analysis . The Level 7 (QLS) Business Development, Management, and Analysis bundle is an outstanding ensemble of eight courses, meticulously designed to provide an in-depth understanding of various business domains. This comprehensive course package offers an unparalleled blend of theoretical knowledge and strategic insights, giving learners a deep understanding of business principles. This selection is perfect for anyone looking to climb the corporate ladder or start their entrepreneurial journey, providing a stepping stone towards career success. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in deepening their understanding of business management, development, and analysis. Professionals seeking a career transition into business-centric roles. Aspiring entrepreneurs wanting to gather essential business knowledge. Anyone interested in acquiring a theoretical understanding of business operations. Career path Business Developer - Salary Range in the UK: £30,000 - £70,000 Business Manager - Salary Range in the UK: £35,000 - £80,000 Business Analyst - Salary Range in the UK: £26,000 - £70,000 Financial Analyst - Salary Range in the UK: £30,000 - £65,000 Compliance Officer - Salary Range in the UK: £30,000 - £75,000 Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

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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.

Premium Bundle of all Time | Ofqual Regulation + NCFE Awards + QLS Endorsement | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + NCFE Awards + QLS Endorsement | Assessment & Tutor Support Included

Benefit your career progression while saving a massive amount of your wallet by enrolling in our Ultimate NCFE CACHE Level 3 Award in Supporting Teaching and Learning qualification bundle of Govt regulated and QLS endorsed courses! What's included with the Level 3 Teaching Assistant & Nursery Teacher Training ? Ofqual Regulated NCFE CACHE Level 3 Award in Supporting Teaching and Learning Nursery Teacher Training Course Certificate on NCFE CACHE Level 3 Award in Supporting Teaching and Learning Certificate on Nursery Teacher Training Course 1-2-1 tutor support 24/7 access to Course library High quality study modules Dedicated customer support Assessment guidance Assessment This super saver ultimate NCFE qualification bundle will add significant value to your resume while creating numerous possibilities for your career advancement. Register to discover the abilities and knowledge required to succeed in the field of Supporting Teaching and Learning according to the standards established by OFQUAL and stand out to others. Do not rely on shoddy training or a mediocre education. Focus on excellence, and whenever and wherever you need us, we'll support you in achieving your full potential. Ensure your degree is acknowledged internationally by joining us today! Kingston Open College is the affiliate partner of One Education. Under the affiliate partnership/program this Qualification will be delivered and assessed by One Education. ***Curriculum Breakdown of NCFE CACHE Level 3 Award in Supporting Teaching and Learning*** Unit 01: Schools and colleges as organisations Unit 02: Support health and safety in a learning environment Unit 03: Understand how to safeguard children and young people Unit 04: Understand how children and young people develop ***Curriculum Breakdown of Nursery Teacher Training Course*** Module 01: Introduction to EYFS Module 02: Importance of Early Years in Development Module 03: EYFS Teaching Techniques Module 04: Working as an EYFS Teacher Module 05: The EYFS Educational Philosophies and Privileges Module 06: Curriculum and Developing Early Learning Module 07: Play and Learning in Children's Education Module 08: Observation and Assessment of Children in the Early Years Setting Module 09: Understanding SEN in children Module 10: Working with Children Having Special Needs Module 11: Health and Safety of Children in the Early Years Module 12: Safeguarding, Protection and Welfare of Young Children Module 13: Understanding Mental Health in Children Module 14: Self-Management and Dealing with Stress Module 15: Working in Partnership with Parents and Carers Total Qualification Time Total Qualification contains the Guided Learning Hours (GLH) and an estimated number of hours that a learner is likely to spend in preparation, study, or any other learning including assessment, taking place as directed by, but not under the supervision of a lecturer, supervisor or tutor. The expected total length of time that a learner will typically take to achieve and demonstrate the level of attainment necessary for the award of the qualification is 650 hours, where one credit corresponds to 10 hours of learning. So the TQT value is 120. Guided Learning Hours These hours comprise all contact time, guidance or supervision of a learner by a lecturer, supervisor, tutor, trainer or other appropriate providers of education or training. GLH for this qualification is 80. Assessment: For the NCFE CACHE Level 3 Award in Supporting Teaching and Learning, learners will have to prepare a written assignment that will be initially assessed by a qualified assessor and further assessed by an IQA to ensure that all the learning outcomes of the qualification are properly accomplished by the learner. Certification: Ofqual Regulated Certificate: Learners will be issued with NCFE awarded certificate upon successful completion of the qualification assessment. It will not require any further cost at all. QLS Endorsed Certification: For the Nursery Teacher Training Course course certificate. Learners don't have to pay any additional payment. Career path Teaching Assistant: Salary range £15,000 - £22,000 Nursery Assistant: Salary range £15,000 - £22,000 Learning Support Assistant: Salary range £16,000 - £24,000 Early Years Practitioner: Salary range £16,000 - £24,000 Nursery Teacher: Salary range £20,000 - £30,000 Special Educational Needs (SEN) Teaching Assistant: Salary range £18,000 - £26,000

Premium Bundle of all Time | Ofqual Regulation + NCFE Awards + QLS Endorsement | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + NCFE Awards + CPD Accreditation | Assessment & Tutor Support Included