313 Courses delivered Online

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.

As a parent of a neurodiverse child, your primary focus will be on caring for them and making sure the right support is in place for their additional needs. How often do you think about your own mental health and wellbeing? When you create time to look after yourself you’ll have more energy to look after your child. Which is why I created an offer especially for you to help you feel more connected to yourself and give yourself the love and kindness that you pour outwards towards your child.  Imagine if... You felt more present within yourself and with your child(ren) You were more patient with your child(ren) You become more intentional with how you use your time. You felt calmer and have a happier family life. You had more energy and didn't feel like you were going to burnout. Over 12 weeks, you’ll feel a transformative shift in your mind and body as you release stress and exhaustion. Let go of feeling burnt out and overwhelmed and discover a calmer mental space.  What's Included? 12 weeks of support to help you prioritise your wellbeing Access to Rest & Release Lifetime access to my pre-recorded gentle yoga, breathing techniques and meditation bundle. Mindful Living: A Guide for You and Your Family book Support you and your family's wellbeing with mindfulnes practices from my book, written especially for parents I’ll share what 1-2 chapters to read for each week to read. There are 15 chapters in total and they are fairly short to read! End of Week Check-In Via Telegram (free messaging app) Each week, i’ll share reflective and practical activities to try based on each chapter in Mindful Living: A Guide for You and Your Family. As well as give you specific practices from Rest & Release to try throughout the week. Every Friday, I'll check in with you to hear your experience. Ongoing Tailored Support via Telegram Ask questions, and receive support and mindfulness coaching on any activities you have during the week or have experienced that you would like to know how to approach them more mindfully Available Monday-Thursday Bonus Lifetime access to The Mindful Reconnect for ASN Parents Value - £250 Continue your mindfulness journey with my 8 week self-paced mindfulness course. This course was designed to help parents, to a child with additional support needs, reconnect to their wellbeing. You'll have access to the course content and have the opportunity to join the private group Telegram chat with other parents

Communication is the exchange of information, ideas, and feelings effectively between individuals. It encompasses various forms, including verbal, written, and non-verbal (body) language. This course is designed to provide you with the essential skills necessary to communicate confidently.

5 x 1-1 Women's Voice Medicine Programme (Online)The Journey to Vocal Freedom "Our Voices are like seeds, they can sit dormant until the right conditions present themselves, and when this occurs they come bursting out full bloom!"These sessions are designed as a ritual. We have a consultation at first to determine what to energetically work on and to set intentions. I then guide you through your own Voice Empowerment Journey, we use meditation, affirmations, embodied movement, breathwork and playful sounding to support your journey to a fuller, confident and expressive voice.  Things I can support you with: Learning how to trust your Voice How to feel more confident in your own self expression Finding creativity in your flow Understanding how to use your voice for healing How to work with both the Shakti and Shiva energies in sound Finding love for your own authentic Voice and Sound During the 5 week journey, we will drop into a new exploration each week: Week 1: Voice Play - Activating the Inner Child Week 2: Voice Power - Learning how to expand your sound Week 3: Voice and Emotion - Explore how to transmute your emotion into embodied sound Week 4: Voice and Vibration - Using chanting and Bija Mantras Week 5 : Voice and Words - Creating your own Medicine Songs If you are a practising sound healer, we can also work on how you can open your voice as a healing tool to support your sound healing modality.This 5 week 1-1 Voice Medicine Coaching Programme costs £250 (Booking fees apply). (Normally £350)The sessions can be booked weekly as per your schedule and will be tailored to your individual needs. "The journey to vocal freedom is a beautiful one, and is becoming more important for us women as the Feminine energies continue to rise."If you are feeling ready to uncover your True Feminine Intuition through sacred sound, then I would be honoured to support you.  Warmest Wishes from Saraswati Vanisha @ Sing for Your Soul

Women's Voice Therapy

3 x Online Women's Voice Medicine SessionsThe Journey to Vocal Freedom "Our Voices are like seeds, they can sit dormant until the right conditions present themselves, and when this occurs they come bursting out full bloom!"These sessions are designed as a ritual. We have a consultation at first to determine what to energetically work on and to set intentions. I then guide you through your own Voice Empowerment Journey, we use meditation, affirmations, embodied movement, breathwork and playful sounding to support your journey to a fuller, confident and expressive voice.  Things I can support you with: Learning how to trust your Voice How to feel more confident in your own self expression Finding creativity in your flow Understanding how to use your voice for healing How to work with both the Shakti and Shiva energies in sound Finding love for your own authentic Voice and Sound The 3 week online 1-1 Voice Medicine sessions will support you to go deeper into your journey with embodying your voice as a healing tool. This will involve dropping into a new exploration each week: Week 1: Voice Play - Activating the Inner Child Week 2: Voice Power - Learning how to expand your sound Week 3: Voice and Emotion - Explore how to transmute your emotion into embodied sound If you are a practising sound healer, we can also work on how you can open your voice as a healing tool to support your sound healing journeys.This 3 week 1-1 Voice Medicine Journey costs £250.  "The journey to vocal freedom is a beautiful one, and is becoming more important for us women as the Feminine energies continue to rise."If you are feeling ready to unleash your inner Goddess through sacred sound, then I would be honoured to support you.

The LMI Foundations of Success workshop introduces the concepts and practical tools used to help countless individuals within thousands of organisations, of all sizes and complexity in both the public and private sector, realise more of their true potential.

Fully Online No Obligation for Attending Classes Everyone who remembers his own education remembers teachers, not methods and techniques. The teacher is the heart of the educational system. Education is our passport to the future, for tomorrow belongs to the people who prepare for it today. A recent study showed there is widespread concern about the shortage of teachers in the UK. In some regions and some subject areas or phases, finding & retaining appropriately qualified teaching staff is a major challenge for school leaders. But you don't need to worry as our PTLLS - Level 3 Award in Education and Training (RQF) is just the perfect opportunity for you to get into the teaching profession. If you're aiming to become a person who educates students for a better future, while securing a stable & successful career then this PTLLS - Level 3 Award in Education and Training (RQF) online programme will help you achieve your goals. At the beginning of the PTLLS - Level 3 Award in Education and Training (RQF) course, you'll be familiarised with the roles & responsibilities of a teacher also, Learn everything about classroom management and how to assess and provide effective feedback. The Award in Education & Training AET (former PTLLS) online programme is Regulated by Focus which is the most creative and contemporary Awarding Organisation in the UK. This qualification is utterly advantageous for anyone looking to thrive in career opportunities within the teaching sector. Throughout this course, you will broaden your horizons to the noble intentions of teaching and improving society. Why is this PTLLS - Level 3 Award in Education and Training (RQF) Course is 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 qualifications, 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 AET (former PTLLS) course is Ofqual, UK Govt. Regulated and Awarded by Focus which adds value to your educational profile. 20 Additional Courses: With a single payment, you will get access to AET (former PTLLS) along with 20 Additional courses 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 day Unconditional Full Money-Back Guarantee with this course to ensure a hassle-free purchase. What other courses are included with this PTLLS - Level 3 Award in Education and Training (RQF) Course?: With this PTLLS - Level 3 Award in Education and Training (RQF) Course, learners will get the 5 Premium courses completely FREE. Course 01: Education Management Course 02: Educational Psychology and Development Course 03: Advanced Teaching Assistant Diploma Course 04: Special Education Needs (SEN) Training - Level 2 Course 05: EYFS Teaching - Level 3 Course 06: Phonics Teaching Diploma Level 3 Course 07: Leadership in Teaching Course 08: Lesson Planning for Teaching Course 09: Remote Teaching Online Course 10: Classroom Behaviour Management Course 11: Performance Management Course 12: People Management Skills Level 3 Course 13: Report Writing Course 14: Domestic Violence and Abuse Awareness - Level 2 Course 15: Child Neglect Awareness Certificate Course Course 16: Level 3 Mental Health and Adolescent Course Course 17: Safeguarding Children Level 3 Course 18: Functional Skills English Practice Level 2 Course 19: Train the Trainer Course 20: Leadership & Management Diploma Enrol in this PTLLS - Level 3 Award in Education and Training (RQF) Course to become certified at a nationally acceptable level. Benefits you will gain from this PTLLS - Level 3 Award in Education and Training (RQF) Course: Buy 1 Get 20 Personal Development Courses absolutely FREE 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 The PTLLS - Level 3 Award in Education and Training (RQF) course is comprised of three mandatory units. These are as follows: Understanding roles, responsibilities and relationships in education and training Understanding and using inclusive training and learning approaches in education and training Understanding assessment in education and training What skills will I gain from this PTLLS - Level 3 Award in Education and Training (RQF) Course? Understand the underlying fundamentals of teaching and learning Make a practical approach to session planning Explore the various approaches to learning Determine the students' desires and long-term goals Implement strategies for assessing your students' potential You will become an expert in education and training You will gain knowledge in teacher expectations & attributions, and much more... Qualification Purpose Achieving the Level 3 will award in education and training will enable the professionals to have the necessary knowledge and skills to prepare, plan, deliver and evaluate teaching and training sessions in a wide variety of teaching or training settings. 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. Total Qualification Time for this qualification is 120 hours. The total credit value for this qualification is 12 Guided Learning Hours These hours comprise all real-time contact time, hours of lectures or tutorials or supervision of a learner, tutor, trainer or other education providers. GLH for this qualification is 48 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. 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. Who is this course for? PTLLS - Level 3 Award in Education and Training (RQF) 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 Career path You will have the ability to accomplish a lot of things with this 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

A 10 week SATs Success course for students in year 6. Tutoring in English and Tutoring in Maths in a small group year 6 tutor session.

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