16673 Courses

The NVQ Level 4 Diploma in Construction Site Supervision – Retrofit is appropriate for individuals who work as a Construction Site Supervisor/ Foreman or Assistant Site Manager in the Retrofit construction sector and are looking to become eligible for the Gold ‘Site Supervisor’ CSCS Card. Our team will discuss the qualification process with you prior to signing up in order to ensure that you will be able to complete the qualification. Every candidate is assigned a competent and experienced assessor who will provide advice and guidance throughout the programme to ensure that candidates are supported in the successful completion of the qualification. CSCS Cards We can provide CSCS tests and CSCS cards alongside your qualification without the need to attend the test centre. Speak to our friendly and helpful team for more information.

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.

If you are looking to get into teaching, or are currently working for an FE College, Independent Learning Provider or Local Authority, this is the course for you.

The NVQ Diploma in Senior Construction Management Qualification is suited to those who are engaged in high level management activity of a construction business and who working in a senior management role and are seeking to obtain the Black CSCS Card. Our team will discuss the qualification process with you prior to signing up in order to ensure that you will be able to complete the qualification. Complete your qualification quickly with the support of your assessor in as little as 10 to 12 weeks providing that you work with your assessor to provide the required evidence. We offer two other qualifications that lead to the Black CSCS card, follow the links below for more information (open in new window): Level 6 NVQ Diploma in Construction Contracting Operations Management – 8 Units – Complete in as little as 10 weeks. Level 6 NVQ Diploma in Construction Site Management – 19 units – Complete in as little 16 to 20 weeks. CSCS Cards We can provide CSCS tests and CSCS cards alongside your qualification without the need to attend the test centre. Speak to our friendly and helpful team for more information.

=> Updated Course <= Get Noticed By Recruiters in this Hiring Season by Developing Your Skills! Make a strong base as a teaching assistant and bright enough your education and training proficiency through a certified Level 4 Certificate for Higher Level Teaching Assistants (RQF) Qualifications. This Level 4 Certificate for Higher Level Teaching Assistants (RQF) course is awarded by an established Ofqual-regulated Awarding Organisation named Focus Awards Limited, which ensures you've demonstrated the requisite competency and this competence is acknowledged. It will provide you with essential skills that allow you to start or succeed in a successful teaching career. This most engaging Level 4 Certificate for Higher Level Teaching Assistants (RQF) course assures both professional and certified qualifications for you. With the special course materials that are online and accessible 24/7 from anywhere in the globe, you will be able to master the A-Z of education and training. The contents are designed to equip you with a fundamental and advanced understanding of all aspects of teaching and management, such as communication, relationship building, decision-making processes, innovation, and much more! It will also provide you with a prestigious acknowledgement that allows you to start or succeed in a successful teaching career. Enrol now and be the top-notch teaching professional!!! Why is this Level 4 Certificate for Higher Level Teaching Assistants (RQF)Perfect for You? Change Your Career: Join today and make a life-changing decision, get all the essential knowledge to transform your career. Advance Your Career: With our Regulated qualification, you can move up to the next level in your organisation with expertise. Upgrade Your Skills: Add value to your current educational profile and gain the skill sets to compete in your job role. Enhance Your Credibility: The Level 4 Certificate for Higher Level Teaching Assistants (RQF) Course is Ofqual, UK Govt. Regulated and Awarded by Focus Awards which adds value to your educational profile Cost Efficient: In most cases, British qualification starts from £3000 per annum, but with Apex Learning, you enjoy savings of up to 80% on your educational investment. 100% Money-Back Guarantee: We are confident about our course quality and want to provide the best service to our invaluable learners. That's why we provide 14 days Unconditional Full Money-Back Guarantee with this course to ensure a hassle-free purchase. Benefits you will gain from this Level 4 Certificate for Higher Level Teaching Assistants (RQF) course : Premium quality, intensive e-learning course materials Find a well-defined website for teaching 24/7 teacher assistance Step-by-step guidelines Budget-friendly price Earned recognition from the Uk's top awarding bodies Study in a user-friendly, advanced student portal Convenient and Flexible time limit Qualification Summary Qualification type: Focus Awards Level 4 Award Qualification title: Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) Accreditation status: Accredited Level: 4 Guided Learning Hours (GLH): 87 Total Qualification Time (TQT): 360 Qualification number (QN): 601/8533/8 Course Curriculum Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) course comprises seven mandatory units. These are as follows: Awareness of special educational needs Child development and welfare Curriculum planning, delivery and assessment Developing skills to promote positive working relationships Promoting positive behaviour in children and young people Providing support for individual learners and small groups Understand the Higher Level Teaching Assistant role ****Qualification Curriculum**** **Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF)** Unit 1: Understand the Higher Level Teaching Assistant role Unit 2: Child development and welfare Unit 3: Awareness of special educational needs Unit 4: Promoting Positive Behaviour in Children and Young People Unit 5: Providing support for individual learners and small groups Unit 6: Developing skills to promote positive working relationships Unit 7: Curriculum planning, delivery and assessment ***Curriculum of The FREE Courses*** **Teaching Assistant** Module 01: Overview Module 02: Professional Developments for a TA Module 03: Working with the School and Its Policies Module 04: Discussion on Curriculum, Assessment and Monitoring Module 05: Providing the Best Learning Environment Module 06: Learn to Implement ICT, Literacy and Numeracy Development Processes as a TA Module 07: Child Development and the SEN Support Module 08: Understanding Behaviour & Relationships as a TA Module 09: Experienced TAs Maintain Strong Communication with the Students Module 10: Career Prospects for TAs in the UK ** SEN Teaching ** Module 01: Special Education Needs (SEN) An Overview Module 02: SEN Support Module 03: High-Quality Teaching for Pupils with SEN Module 04: SEN Teaching Methodologies Module 05: Communication and Interaction Module 06: Cognition and Learning Module 07: Social, Emotional and Mental Health Difficulties Module 08: Sensory or Physical Needs Module 09: Working in Partnership **EYFS Teaching - Level 3** 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: Promoting Learning and Development Module 06: Children Having Special Education Needs or Disabilities Module 07: Parents' Guide to the Early Years Foundation Stage Module 08: Welfare Requirements Module 09: The EYFS Educational Philosophies and Privileges Module 10: Registration, Inspection, and Quality Improvement Module 11: EYFS Framework in 2021 Learning Outcomes What skills will I gain from this Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) Course? Inclusive Teaching and Learning Teaching, Learning and Assessment Approaches Providing opportunities for English, Maths, ICT and Wider Skills Theories of Learning Communication Induction, Icebreakers and Ground Rules Creating a Scheme of Work Devising an Inclusive Teaching and Learning Plan (Session Plan) Understand the Higher Level Teaching Assistant role Self-Evaluation and Continuing Professional Development Learning Duration Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) Total Qualification Time It is an estimate of the total amount of time anticipated that a learner would spend to demonstrate mastery of all learning outcomes to achieve the award of the qualification. The whole qualification time is defined as GLH and an estimate of the time a learner will devote to preparation, study, and assessment. It does not underlie supervision by a lecturer, supervisor, or tutor. In the case of qualification, the credit value is defined by TQT, and one credit corresponds to ten hours of learning. Guided Learning Hours for this qualification is 87. Total Qualification Time for this qualification is 360 hours. The total credit value for this qualification is 36 Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) Guided Learning Hours These hours comprise all real-time contact time, hours of lectures or tutorial or supervision of a learner, tutor, trainer or other education providers. Progression Level 4 Certificate in Education and Training Level 5 Diploma in Education and Training Level 3 Award in Understanding the Principles and Practices of Assessment Level 3 Award in Assessing Competence in the Work Environment Level 3 Award in Assessing Vocational Related Achievement Level 3 Certificate in Assessing Vocational Achievement Level 4 Award in Understanding the Internal Quality Assurance of Assessment Processes and Practice Level 4 Award in the Internal Quality Assurance of Assessment Processes and Practice Level 4 Certificate in Leading the Internal Quality Assurance of Assessment Processes and Practice Level 4 Award in Learning and Development Level 4 Diploma in Learning and Development Assessment The qualification assessments will be taken through tutor-marked assignments. Upon completing each unit, the learner must attempt a series of questions with comprehensive answers, which will be marked by the tutor. The tutor-marked tasks are required to be assessed by a professional as well. Thereupon, to ensure all the course assignments have met the standards properly by both the learners and assessors, the tasks are subjected to internal and external moderation. NB: At least 50 hours of work placement within a school is required to accomplish this assessment. The work setting can either be a primary, secondary or special school with pupils aged 5+ and studying Key Stage 1 or above. As a part of this placement, learners will require a member with occupational competence in supervising and signing the witness testimonies, to ensure they have gained the work-based learning outcomes of this programme properly. Method of Assessment: Unit 1: In Unit 1, you need to complete a variety of writing assignments Unit 2: In Unit 2, there should be an assessment taken in the workplace, primarily evaluating learners' work, professional discussions with audio-video evidence Unit 3: In Unit 3, you will be demonstrated through your delivered work items and audio-video evidence after evaluating learners in a training context. Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) Video Assessment You have to plan many things, such as observation, questioning/ professional discussion, and inspection of supporting work products evidence. Detailed assignment instructions will be made available to you in the 'Guidance for Achieving the Unit' section of your learning portal with a careful and clear explanation. You have to submit all your assignments via the online portal Certification Successful candidates will be awarded a Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) from Focus Awards Limited. Requirements You must be at least 16 years old or above to register and undergo an initial assessment. Since it is level 3 qualification, you must pass the minimum 1st level of the literacy assessment NB: At least 50 hours of work placement within a school is required to accomplish this assessment. The job setting can either be a primary, secondary or special school with pupils aged 5+ and studying Key Stage 1 or above. As a part of this placement, learners will require a member with occupational competence in supervising and signing the witness testimonies, to ensure they have gained the work-based learning outcomes of this programme properly. Career path You will have the ability to accomplish a lot of things with this course certificate. Here are just a few examples: Primary School Teacher Secondary School Teacher Private Tutor Freelance Teacher/ Trainer Consultant Job hunters & School leavers Educational Psychologist Office clerk & Administration Assistant College or University Student

This Beginners Hairdressing Course is ideal for those looking to be work-ready upon completion and have an internationally recognised qualification as well as a complete understanding of both Ladies Hairdressing & Barbering. You’ll receive both Ladies Hairdressing and Barbering training on this course and will be cutting hair on day 2! You’ll to learn the 9 Alan d Foundation haircuts, colouring and perming, roller-setting, clipper work, moustache trimming, wet shaving and much more.

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

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

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

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