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.
How purposeful, high quality feedback can be used effectively to drive progress.
Level 3 Certificate in Assessing Vocational Achievement (RQF) Are you a trainer, assessor, or instructor looking to enhance your skills and boost your career in vocational education and training? The Level 3 Certificate in Assessing Vocational Achievement (RQF) is the perfect course for you. This certification provides in-depth knowledge and practical skills in assessing vocational achievements, allowing you to evaluate and assess the performance of individuals in various work settings. Imagine being able to assess the skills and abilities of individuals and helping them to progress in their careers. With the Level 3 Certificate in Assessing Vocational Achievement (RQF), you will have the confidence and competence to make informed decisions and guide individuals towards success. Take the first step towards achieving your career goals and enrol in the Level 3 Certificate in Assessing Vocational Achievement (RQF) today. With flexible study options, you can balance your learning with your other commitments and achieve your certification at your own pace The Level 3 Certificate in Assessing Vocational Achievement (RQF) qualification resources are developed by professionals and contain well-versed and up-to-date information on becoming a successful assessor. It is highly organised and carefully arranged, which carries essential vocational assessment knowledge such as assessing principles, strategies, responsibilities, etc. Explore a smooth learning experience under this course and enjoy a variety of the exam evaluation process of your work. Why this Level 3 Certificate in Assessing Vocational Achievement (RQF) Course is Perfect for You? Choose 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 3 Certificate in Assessing Vocational Achievement course is Ofqual, UK Govt. Regulated and Awarded by Focus Awards which adds value to your educational profile. 20 Additional Courses: With a single payment, you will get access to Level 5 Diploma in Education & Training (DET - Previously known as DTLLS) along with 5 CPD courses Cost Efficient: In most cases, British qualification starts from £2000 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 of Level 3 Certificate in Assessing Vocational Achievement (RQF) Training: Buy One 1 Get 20 Premium Courses for FREE Top-notch e-learning materials. Recognised Accredited Qualification. Unlimited access from any corner of the world. Accredited Certification. An innovative, easy-to-use learning platform. Step-by-step guidelines. 24/7 Professional student support. Enrol today in this Level 3 Certificate in Assessing Vocational Achievement and fulfil your student-life dream of assessing students! Level 3 Certificate in Assessing Vocational Achievement ****Qualification Curriculum**** **Level 3 Certificate in Assessing Vocational Achievement (RQF)** In the Level 3 Certificate in Assessing Vocational Achievement (RQF), there are 3 compulsory modules. These are: Understanding the Principles and Practices of Assessment Assessing Occupational Competence in the Work Environment Assessing Vocational Skills, Knowledge and Understanding. Learners must achieve all 3 mandatory units to achieve a total credit of 15 From this Qualification, you will: Understand the principles and requirements of assessment. Learn more about different types of assessment methods, manage information, make assessment decisions and assure quality. Maintain legal and good practise requirements when assessing occupational competence. Plan the assessment of occupational competence. Be able to prepare and carry out assessments of vocational skills, knowledge and understanding. Qualification Purpose of Level 3 Certificate in Assessing Vocational Achievement This comprehensive Level 3 Certificate in Assessing Vocational Achievement (RQF) course is designed to help students master the knowledge and skills they'll need to effectively assess occupational competence in the workplace and outside the workplace. Total Qualifications Time of Level 3 Certificate in Assessing Vocational Achievement Total Qualification Time is comprised of GLH and an estimate of the number of hours a learner is likely to spend in preparation, study or any other learning, including assessment, which takes place as directed by, but not under the supervision of a lecturer, supervisor or tutor. Total Qualification Time for this Level 3 Certificate in Assessing Vocational Achievement qualification is 234 hours. Guided Learning Hours These hours are made up of all contact time, guidance, or supervision of a learner by a lecturer, supervisor, tutor, trainer, or other appropriate education or training providers. Guided Learning Hours for this qualification is 84. Method of Assessment The Level 3 Certificate in Assessing Vocational Achievement (RQF) is internally assessed and externally assured by Focus Awards. Each learner is required to create a portfolio of evidence that demonstrates the achievement of all the learning outcomes and the assessment criteria associated with each unit. The main pieces of evidence for the portfolio could include: Assessor observation - completed observational checklists on related action plans Witness testimony Learner product Worksheets Assignments / projects / reports Record of oral and written questioning Learner and peer reports Recognition of prior learning (RPL) Evidence may be drawn from actual or simulated situations where appropriate and permitted by the relevant Sector Skills Council or Sector Skills Body. Progression of Level 3 Certificate in Assessing Vocational Achievement Learners wishing to progress from this qualification can undertake the following qualifications: Focus Awards Level 3 Award in Assessing Competence in the Work Environment Focus Awards Level 4 in Understanding the Internal Quality Assurance of Assessment Processes and Practices Focus Awards Level 4 in the Internal Quality Assurance of Assessment Processes and Practices Focus Awards Level 4 Certificate in Leading the Internal Quality Assurance of Assessment Processes and Practices Who is this course for? Level 3 Certificate in Assessing Vocational Achievement The Level 3 Certificate in Assessing Vocational Achievement (RQF) course is for individuals wanting to serve as fully qualified assessors in the educational sector. Individuals who wish to achieve a sought-after assessing certificate will benefit from its excellent training. Requirements Level 3 Certificate in Assessing Vocational Achievement There are no specific entry requirements for this Level 3 Certificate in Assessing Vocational Achievement qualification. This qualification is accredited for learners who are at least 19 years old or above. Career path Level 3 Certificate in Assessing Vocational Achievement After receiving the Level 3 Certificate in Assessing Vocational Achievement (RQF) certification, you would be eligible to function as a competent professional as: Assessor Professional Trainer Coach Professional Verifier
2 QLS Level 5 Diploma | QLS Hard Copy Certificates Included | Plus 5 CPD Courses | Lifetime Access
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. 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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? 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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
Getting Started The primary aim of the OTHM Level 3 Diploma in Business Management is to offer learners a comprehensive grasp of how businesses operate and are organised. This qualification is designed to equip learners with the foundational knowledge, comprehension, and skills relevant to various aspects of business operations. It encourages learners to research, explore, and assess key business elements, encompassing areas like Business Communication, The Business Environment, People Management, Customer Service, Finance, and Marketing. Key Benefits Gain a thorough comprehension of business operations and organisational structure Equips learners with essential knowledge, comprehension, and practical skills required in various aspects of business activities Encourages learners to conduct research and explore critical elements of the business field, Apply the knowledge and skills gained to real-world business situations Develop effective written and oral communication skills essential for successful business interactions. Key Highlights This qualification will offer learners the requisite skills and knowledge to enter the world of work in their chosen sector We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximise 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. About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. Entry Requirements Learners must be 18 years of demonstrate the ability to undertake the learning and Assessment A learner not from a majority English-speaking country must provide evidence of English language competency. Progression OTHM Level 4 diplomas Direct entry into a range of Bachelor's degree programmes 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- Communication for Business Reference No : F/618/8192 Credit : 20 || TQT : 200 The primary objective of this unit is to impart learners with essential and critical skills needed for effective communication within a business setting. Learners will cultivate an understanding of various communication forms, including non-verbal, verbal, written, and IT. This knowledge will empower learners to proficiently convey messages by choosing the most appropriate communication method based on the message's specific context and content. UNIT2- The Business Environment Reference No : J/618/8193 Credit : 20 || TQT : 200 The primary goal of this unit is to equip learners with a comprehension of the idea of a business environment. Learners will foster an awareness of diverse business sectors, structures, and functions. Furthermore, learners will acquire insights into a business's inner and outer surroundings, where both micro and macroeconomic factors wield substantial influence over business operations. This knowledge will empower learners to evaluate a business's internal and external contexts proficiently. UNIT3- People Management Reference No : L/618/8194 Credit : 20 || TQT : 200 The primary objective of this unit is to furnish learners with the essential knowledge and insights required for proficiently guiding and supervising individuals within a business. Learners will cultivate an understanding of employee motivation, employee relationships, and performance management. This knowledge will enable learners to grasp the prerequisites for leaders and managers to facilitate and promote effective employee engagement. UNIT4- Customer Service Reference No : R/618/8195 Credit : 20 || TQT : 200 The primary goal of this unit is to equip learners with the essential knowledge and comprehension needed for effective performance in a customer service position. Learners will first establish a foundation in customer service basics, then explore customer types and strategies for fostering relationships with them within a business context. Building upon an understanding of various interpersonal skills, this unit will allow learners to showcase their ability to work independently and collaboratively in a team to deliver exceptional customer experiences. UNIT5- Finance in Business Reference No : Y/618/8196 Credit : 20 || TQT : 200 The primary objective of this unit is to impart learners with the foundational knowledge necessary for documenting financial transactions and generating financial statements. Learners will acquire an understanding of various economic and accounting methods, including the double-entry accounting system, budgeting, and investment assessment. This knowledge will empower learners to document financial transactions and create accounting statements proficiently. UNIT6- Marketing Reference No : D/618/8197 Credit : 20 || TQT : 200 The primary goal of this unit is to equip learners with the essential marketing knowledge and skills necessary to participate in marketing endeavours actively. This is complemented by understanding critical marketing and campaign principles, which are the basis for generating and delivering market research findings and a marketing campaign. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.
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Certificates CPD Certificates Digital certificate - Included
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ChildCare : Child Care This ChildCare : Child Care is designed to provide learners with the knowledge, skills, and competencies required to work independently and under supervision in a range of Early Childhood Care and Education (ECCE) settings, as well as to progress to higher education and training. Learners will gain skills that will enable them to work in a supervised role with children aged 0 to 6 years. This ChildCare : Child Care course can be studied on your own time and at your own pace for a recognised Child Care Diploma that could change your career prospects for life! Main Course: Child Care **Free Courses included with ChildCare : Child Care course Course 01: Speech & Language Therapy Course 02: Level 4 Early Years Course ***Others Benefits of ChildCare: Child Care Course Free 03 PDF Certificate Lifetime Access Unlimited Retake Exam Tutor Support [ Note: Free PDF certificate as soon as completing this ChildCare : Child Care course] ChildCare : Child Care Curriculum of ChildCare : Child Care Industry Experts Designed this Child Care course into 12 detailed modules. Module 01: An Overview of Early Childhood Education Module 02: Empowering Children to Learn in the Early Years Module 03: The Process of Caring for Child's Development Module 04: Developing Socially and Emotionally Module 05: Aspects That Influence the Development Process Module 06: Other Factors Influencing the Child Development Process Module 07: Stages of Language Development Module 08: The Process of Moral Development Module 09: Personality Development of Children Module 10: Problems During Infancy and Childhood Period Module 11: Adolescence's Problems Explained Module 12: Safeguarding Children Assessment Method of Child Care After completing each module of the ChildCare : Child Care 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 Child Care After completing the MCQ/Assignment assessment for this ChildCare : Child Care course, you will be entitled to a Certificate of Completion from Training Tale which is completely free to download. Who is this course for? ChildCare : Child Care ChildCare : Child Care course is suitable for both beginners and people who have experience working with children. Requirements ChildCare : Child Care There are no specific requirements for Childcare Bundle course because it does not require any advanced knowledge or skills. Career path ChildCare : Child Care Certificates Certificate of completion Digital certificate - Included