20704 Education courses in Addlestone delivered On Demand

Feeling Stuck in Your Career? The Strategic Management, Business Analysis, Planning & Entrepreneurship for Entrepreneurs Bundle is Your Skill-Building Solution. This exceptional collection of 30 premium courses is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Entrepreneurship bundle provides an engaging learning experience, helping you learn skills across various disciplines. With the Strategic Management, Business Analysis, Planning & Entrepreneurship for Entrepreneurs bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Entrepreneurship bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set. By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Entrepreneurship bundle on your job life and career growth! This Strategic Management, Business Analysis, Planning & Entrepreneurship for Entrepreneurs Bundle Comprises the Following CPD Accredited Courses: Course 01: Entrepreneurship: Startup Your New Venture Course 02: Fundamentals of Entrepreneurship Course 03: Entrepreneurial Mindset Course 04: Advanced Pitching for Startups Course 05: Business Plan Course 06: Making Budget & Forecast Course 07: Financial Ratio Analysis for Business Decisions Course 08: Business Analysis Course Level 5 Course 09: Strategic Management Course 10: Business Law 2021 Course 11: Leadership and Management Course Course 12: People Management Diploma Course 13: Train the Trainer - Part 1 Course 14: Capital Budgeting & Investment Decision Rules Course 15: Investment Banking: Venture Capital Fundraising for Startups Course 16: Financial Management Course 17: Tax Accounting Course 18: Marketing Course 19: Sales Skills Course 20: Sales Negotiation Training Course Course 21: Increase Your Sales Through a Profitable Pricing Strategy Course 22: Creating Highly Profitable Sales Funnels Course 23: Know Your Customers Course 24: Customer Relationship Management Course 25: Risk Management Course 26: Career Development Plan Fundamentals Course 27: CV Writing and Job Searching Course 28: Learn to Level Up Your Leadership Course 29: Networking Skills for Personal Success Course 30: Ace Your Presentations: Public Speaking Masterclass What will make you stand out? Upon completion of this online Strategic Management, Business Analysis, Planning & Entrepreneurship for Entrepreneurs bundle, you will gain the following: CPD QS Accredited Proficiency with this Entrepreneurship bundle After successfully completing the Entrepreneurship bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials of this Entrepreneurship bundle The online test with immediate results You can study and complete the Entrepreneurship bundle at your own pace. Study for the Entrepreneurship bundle using any internet-connected device, such as a computer, tablet, or mobile device. The Strategic Management, Business Analysis, Planning & Entrepreneurship for Entrepreneurs bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development. Advance the future of learning with the Entrepreneurship bundle, a comprehensive complete collection of 30 courses. Each course in the Entrepreneurship bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience. Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Entrepreneurship bundle offers the flexibility and convenience to learn at your own pace. Make the Entrepreneurship package your trusted partner in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Strategic Management, Business Analysis, Planning & Entrepreneurship for Entrepreneurs bundle is perfect for: Expand your knowledge and skillset for a fulfilling career with the Entrepreneurship bundle. Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Entrepreneurship bundle. Discover your passion or explore new career options with the diverse learning opportunities in the Entrepreneurship bundle. Learn on your schedule, in the comfort of your home - the Entrepreneurship bundle offers ultimate flexibility for busy individuals. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Strategic Management, Business Analysis, Planning & Entrepreneurship for Entrepreneurs bundle. Certificates CPD Certificates Digital certificate - Included

Prepare for a pivotal role in education with our comprehensive School Administrator Training course. Whether you're new to school administration or looking to enhance your skills, this program equips you with essential knowledge and practical insights to succeed in managing educational institutions effectively. Key Features: CPD Certified Developed by Specialist Lifetime Access In the School Administrator Training course, learners will gain comprehensive knowledge and skills essential for effectively managing educational institutions. They will understand the fundamentals of school administration, including the different types of schools in the UK and the developmental stages of children. Students will learn how to establish and nurture a positive school culture, ensuring a conducive learning environment. Educational administration and management principles will be covered, along with practical aspects such as managing school facilities and ensuring safety and maintenance. The curriculum also addresses critical issues like safeguarding students and handling behavioral challenges sensitively. Additionally, learners will develop workplace skills, including self-management techniques and stress management strategies necessary for administrative roles in educational settings. This course equips future school administrators with the tools needed to support both students and staff effectively. Course Curriculum Module 01: Introduction to School Administration Module 02: Types of Schools in the UK Module 03: Child Development Module 04: Creating and Maintaining a School Culture Module 05: Educational Administration and Management Module 06: Managing School Premises Module 07: Safety and Maintenance as an Administrator Module 08: Safeguarding Students Module 09: Serious Behavioral Issues and Problems of Students Module 10: Workplace Development Module 11: Self-Management and Dealing with Stress Learning Outcomes Understand key concepts in school administration and management principles. Identify different types of schools and their operational distinctions. Describe stages of child development relevant to educational settings. Develop strategies for creating and maintaining positive school culture. Implement effective safety measures and maintenance practices in school premises. Apply safeguarding protocols to ensure student welfare and protection. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring school administrators seeking foundational knowledge in educational management. Current educators transitioning into administrative roles within educational institutions. Individuals interested in understanding school operations and student welfare. Professionals aiming to enhance their skills in managing school premises. Anyone looking to develop skills in handling serious student behavioral issues. Career path School Administrator Education Officer School Business Manager Student Support Officer Behavioural Mentor Safeguarding Officer Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

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Earn 35 KwikSkill PDUs or contact hours toward your Project Management education for certification with PMI®. Become PMP® certified today!

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24 Hour Flash Deal **25-in-1 Level 2 Diploma in Babysitting Mega Bundle** Level 2 Diploma in Babysitting Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Level 2 Diploma in Babysitting package online with Studyhub through our online learning platform. The Level 2 Diploma in Babysitting bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Level 2 Diploma in Babysitting course provides complete 360-degree training on Level 2 Diploma in Babysitting. You'll get not one, not two, not three, but twenty-five Level 2 Diploma in Babysitting courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Level 2 Diploma in Babysitting courses are yours for as long as you want them once you enrol in this course This Level 2 Diploma in Babysitting Bundle consists the following career oriented courses: Course 01: Childcare and Nannying Diploma Course 02: Paediatric First Aid Course 03: Child Development and Care Course 04: Positive Behaviour in Children and Youth Course 05: Early Childhood Mental Health: Strategies and Interventions Course 06: Montessori Education for Early Childhood Course 07: Socialisation and Adaptation in Early Childhood Course 08: Self Regulation in Young Children Course 09: Play Therapy, Mental Health and Child Psychology Diploma Course 10: Child Protection Course 11: Child Psychology Course 12: Paediatric Care Course Course 13: Childcare Training, Nutrition and Development Course 14: Child Neglect Awareness Certificate Course 15: Autism Training Course 16: Teaching Assistant with Autism Essential Course 17: Young People and Challenging Behaviour Diploma Course 18: Special Education Needs (SEN) Teaching Methodologies Course 19: SENCO - Special Educational Needs Coordination Course Course 20: Child and Adolescent Counselling Course 21: Parental Mental Health & Child Protection Course 22: Safeguarding Children & Child Risk Assessment Course 23: Child Behaviour: Child Psychology, Mental Health Certification, Autism and Development Course 24: Classroom Behaviour Management Training Course 25: Child Protection in Education The Level 2 Diploma in Babysitting course has been prepared by focusing largely on Level 2 Diploma in Babysitting career readiness. It has been designed by our Level 2 Diploma in Babysitting specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Level 2 Diploma in Babysitting Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Level 2 Diploma in Babysitting bundle course has been created with twenty-five premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Level 2 Diploma in Babysitting Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Level 2 Diploma in Babysitting Elementary modules, allowing our students to grasp each lesson quickly. The Level 2 Diploma in Babysitting course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. In this exclusive Level 2 Diploma in Babysitting bundle, you really hit the jackpot. Here's what you get: Step by step Level 2 Diploma in Babysitting lessons One to one assistance from Level 2 Diploma in Babysittingprofessionals if you need it Innovative exams to test your knowledge after the Level 2 Diploma in Babysittingcourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Level 2 Diploma in Babysitting courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Level 2 Diploma in Babysitting certificate and transcript on the next working day Easily learn the Level 2 Diploma in Babysitting skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Level 2 Diploma in Babysitting training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Level 2 Diploma in Babysitting Requirements To participate in this Level 2 Diploma in Babysitting course, all you need is - A smart device A secure internet connection And a keen interest in Level 2 Diploma in Babysitting Career path You will be able to kickstart your Level 2 Diploma in Babysitting career because this course includes various courses as a bonus. This Level 2 Diploma in Babysitting is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Level 2 Diploma in Babysitting career opportunities. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

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.

Early Learning and Childcare Looking for a thorough training course to help you succeed in the Early Learning and Childcare industry? Look no further than our course bundle "Early Learning and Childcare"! This course bundle consists of 10 fundamental courses that will give you the knowledge and abilities you need to be successful in working with children. This Early Learning and Childcare industry package will teach you how to develop young learners in a safe and nurturing environment, the value of play, and child development. Additionally, you'll improve your communication abilities and discover how to establish effective connections with kids, parents, and other industry experts. Anyone looking to begin or advance their career in early learning and childcare should consider this bundle. This Early Learning and Childcare industry course package has everything you need, whether you're just starting out or want to improve your knowledge and skills. Why then wait? Enrol in our "Early Learning and Childcare" bundle course right away to get started on your path to becoming an expert in this field. Course Details This bundle includes 07 basic training courses. These are the following courses: Course 01: Level 4 Child Care and Development Course 02: Early Years Level 4 Course 03: Primary Teaching Diploma Course 04: Level 1 First Award in Children's Play Learning and Development Course 05: Care and Support for Vulnerable Children Course 06: Level 4 Diploma in Child Psychology Course 07: Child Protection and Risk Assessment Course 08: Diploma in Special Education Needs (SEN) Course 09: Level 2 Diploma for the Early Years Practitioner Course 10: Level 2 Award in Preparation for the Responsibilities of Parenting [ Note: Free PDF certificate as soon as completing the Early Learning and Childcare course ] Early Learning and Childcare Special Note: Our Course is not a regulated course. If You want to get qualified, you can consider following options: NCFE Early Learning and Childcare RQF Level 3 Diploma in Early Learning & Childcare (Early Years Educator) NCFE Level 2 Diploma for the Early Years Practitioner RQF Diploma Level 3 in Early Years Education Childcare (EYE) RQF Early Learning & Childcare NCFE Leve 3 Diploma for the Children and Young People's Workforce VRQ Level 3 Diploma in Early Years Education and Care Assessment Method of Early Learning and Childcare After completing each module of the Early Learning and Childcare course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification of Early Learning and Childcare After completing the MCQ/Assignment assessment for this Early Learning and Childcare course, you will be entitled to a Certificate of Completion from Training Tale. Who is this course for? Early Learning and Childcare This Early Learning and Childcare course is ideal for anyone looking to start or advance their career in the field of Early Learning, Childminder, nursery workers and teaching assistants, regardless of their current level of experience or education. This extensive course package has something to offer for everyone interested in early learning and childcare, whether you're looking to launch a new career or advance your current one. Requirements Early Learning and Childcare There are no specific requirements for this Early Learning and Childcare course because it does not require any advanced knowledge or skills. Career path Early Learning and Childcare Worker in a nursery: £15,000 to £22,000 annually teaching assistant: £15,000 to £25,000 annually Nanny: £25,000 to $35,000 annually Childminder: £20,000 to $35,000 annually Certificates Digital Certificate Digital certificate - Included