21272 Education courses in Smethwick delivered Online

10 QLS Endorsed Courses for Estate Agents | 10 QLS Endorsed Certificates Included | Lifetime Access | Tutor Support

10 QLS Endorsed Courses for Hospitality Manager | 10 Endorsed Certificates Included | Life Time Access

Advance your career with SENCO - Special Educational Needs Coordination Level 5. Gain expertise in managing SEN support and driving inclusive education strategies.

💡 Transform the Future: Smart Meter Training Course! 🌐 Are you ready to be at the forefront of energy innovation? Dive into our Smart Meter Training Course, a comprehensive program designed to equip you with the expertise needed to navigate the evolving landscape of smart energy technology. Join us on this journey to harness the power of smart meters and shape the future of sustainable energy solutions. 🌟 Module 1: Introduction to Smart Meters Embark on your journey with Module 1, providing a comprehensive introduction to the exciting world of smart meters. Uncover the fundamental principles, benefits, and challenges of smart meter technology. Lay the groundwork for understanding how these devices are revolutionizing the way we monitor and manage energy consumption. 🔧 Module 2: Installation of Smart Meters Get hands-on with Module 2, dedicated to the installation of smart meters. Learn the intricacies of setting up these cutting-edge devices in residential and commercial settings. Understand the safety protocols, technical specifications, and best practices that ensure a seamless and efficient installation process. 🔍 Module 3: Smart Meter Technology Delve deep into the heart of smart meter technology with Module 3. Explore the inner workings of these devices, from communication protocols to data transmission. Gain insights into the integration of smart meters into existing energy infrastructure and the role they play in creating smart grids for optimized energy distribution. 📊 Module 4: Smart Meter Data Analysis Unleash the power of data with Module 4, focusing on smart meter data analysis. Learn to interpret and analyze the wealth of information generated by smart meters. Understand how to derive valuable insights, identify consumption patterns, and leverage data analytics to optimize energy usage and enhance efficiency. 🤝 Module 5: Customer Engagement and Education Empower the end-users with Module 5, centered around customer engagement and education. Explore strategies for effectively communicating the benefits of smart meters to consumers. Learn how to address concerns, promote energy conservation, and educate customers on making informed decisions for a sustainable energy future. 🌟 Why Choose Our Smart Meter Training Course? Industry-Expert Instructors: Learn from seasoned professionals in the field of smart energy technology with hands-on experience. Practical Training: Engage in simulated installations and data analysis exercises, preparing you for real-world scenarios. Cutting-Edge Curriculum: Stay ahead of industry advancements with a curriculum that reflects the latest in smart meter technology. Career-Ready Skills: Graduates leave with skills ready to meet the demands of the growing smart energy sector. Don't miss the opportunity to be a trailblazer in the smart energy revolution! Enroll now in the Smart Meter Training Course and become a key player in reshaping how we understand and consume energy. Your journey towards a smarter and more sustainable future begins here! 💡✨🔧 Course Curriculum Module 1_ Introduction to Smart Meters. Introduction to Smart Meters. 00:00 Module 2_ Installation of Smart Meters. Installation of Smart Meters. 00:00 Module 3_ Smart Meter Technology. Smart Meter Technology. 00:00 Module 4_ Smart Meter Data Analysis. Smart Meter Data Analysis. 00:00 Module 5_ Customer Engagement and Education. Customer Engagement and Education. 00:00

Level 4 & 7 Endorsed Diploma | FREE QLS Hard Copy Certificate | FREE 5 CPD Courses & PDF Certificates | Lifetime Access

24 Hour Flash Deal **25-in-1 Classroom Behaviour Management Advanced Diploma Mega Bundle** Classroom Behaviour Management Advanced Diploma 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 Classroom Behaviour Management Advanced Diploma package online with Studyhub through our online learning platform. The Classroom Behaviour Management Advanced Diploma bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Classroom Behaviour Management Advanced Diploma course provides complete 360-degree training on Classroom Behaviour Management Advanced Diploma. You'll get not one, not two, not three, but twenty-five Classroom Behaviour Management Advanced Diploma courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Classroom Behaviour Management Advanced Diploma courses are yours for as long as you want them once you enrol in this course This Classroom Behaviour Management Advanced Diploma Bundle consists the following career oriented courses: Course 01: Classroom Behaviour Management Training Course 02: Emotional Intelligence and Human Behaviour Course 03: Primary School Teacher Training Course 04: Early Years Primary Teaching Course 05: Montessori Teaching Fundamentals: Principles and Practice Course 06: Effective Strategies for Teaching Students with Learning Disabilities Course Course 07: Planning, Delivery and Assessment in Teaching Course 08: Teaching & Homeschooling Course 09: Teaching Anybody Anything Course 10: Teaching Fundamentals: Make Concepts Easy to Understand Course 11: Lesson Planning for Teaching Course 12: SEND Teaching Course Course 13: Blended Learning Course for Teachers Course 14: Child Protection Officer: Safeguarding Children's Welfare Course Course 15: Applied Behaviour Analysis(ABA) and Cognitive Skills Training Course 16: Self Regulation in Young Children Course 17: Improving School Attendance Course 18: Understanding Specific Learning Difficulties: Supporting Diverse Learners Course 19: Effective Communication Techniques for Teachers and Trainers Course 20: Children's Literature in Education Course 21: Teach to Engage Students Course 22: Using Reggilio Emilia Approach in Early Childhood Course Course 23: Forest Schooling Course 24: Positive Handling in Schools Course 25: Comparative Literature Studies: A Global Perspective The Classroom Behaviour Management Advanced Diploma course has been prepared by focusing largely on Classroom Behaviour Management Advanced Diploma career readiness. It has been designed by our Classroom Behaviour Management Advanced Diploma 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 Classroom Behaviour Management Advanced Diploma Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Classroom Behaviour Management Advanced Diploma 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 Classroom Behaviour Management Advanced Diploma Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Classroom Behaviour Management Advanced Diploma Elementary modules, allowing our students to grasp each lesson quickly. The Classroom Behaviour Management Advanced Diploma 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 Classroom Behaviour Management Advanced Diploma bundle, you really hit the jackpot. Here's what you get: Step by step Classroom Behaviour Management Advanced Diploma lessons One to one assistance from Classroom Behaviour Management Advanced Diplomaprofessionals if you need it Innovative exams to test your knowledge after the Classroom Behaviour Management Advanced Diplomacourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Classroom Behaviour Management Advanced Diploma courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Classroom Behaviour Management Advanced Diploma certificate and transcript on the next working day Easily learn the Classroom Behaviour Management Advanced Diploma 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 Classroom Behaviour Management Advanced Diploma 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 Classroom Behaviour Management Advanced Diploma Requirements To participate in this Classroom Behaviour Management Advanced Diploma course, all you need is - A smart device A secure internet connection And a keen interest in Classroom Behaviour Management Advanced Diploma Career path You will be able to kickstart your Classroom Behaviour Management Advanced Diploma career because this course includes various courses as a bonus. This Classroom Behaviour Management Advanced Diploma is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Classroom Behaviour Management Advanced Diploma 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

Get ready for an exceptional online learning experience with the IELTS, GCSE, Speaking, Writing, & English Grammer bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The IELTS, GCSE, Speaking, Writing, & English Grammer is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the IELTS package has something for everyone. As part of the IELTS, GCSE, Speaking, Writing, & English Grammer package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the IELTS bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This Bundle Comprises the Following CPD Accredited Courses: IELTS Exam Preparation GCSE English IELTS Reading Academic Masterclass IELTS Listening Masterclass IELTS Speaking Masterclass IELTS Writing Task 1 Masterclass IELTS Writing Task 2 Masterclass British English Pronunciation Course Basics of English for Beginners 200 Common English Idioms and Phrases Level-3 English Grammar Course Essay Writing in English English - Spelling, Punctuation & Grammar Functional Skills English Level 1 Lesson Planning for Teaching Career Development Plan Fundamentals CV Writing and Job Searching Learn to Level Up Your Leadership Networking Skills for Personal Success Ace Your Presentations: Public Speaking Masterclass Learning Outcome: Gain comprehensive insights into multiple fields. Foster critical thinking and problem-solving skills across various disciplines. Understand industry trends and best practices through the IELTS Bundle. Develop practical skills applicable to real-world situations. Enhance personal and professional growth with the IELTS Bundle. Build a strong knowledge base in your chosen course via the IELTS Bundle. Benefit from the flexibility and convenience of online learning. With the IELTS package, validate your learning with a CPD certificate. Each course in this bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with the IELTS, GCSE, Speaking, Writing, & English Grammer, a rich anthology of 15 diverse courses. Each course in the IELTS bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisIELTS, GCSE, Speaking, Writing, & English Grammer bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the IELTS, GCSE, Speaking, Writing, & English Grammer bundle offers you the flexibility and convenience to learn at your own pace. Make the IELTS package your trusted companion in your lifelong learning journey. CPD 230 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The IELTS, GCSE, Speaking, Writing, & English Grammer bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Career path Unleash your potential with the IELTS, GCSE, Speaking, Writing, & English Grammer bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the IELTS, GCSE, Speaking, Writing, & English Grammer bundle package. Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

Getting Started The MBA in Educational Leadership and Management Top Up programme is a dynamic educational offering that aims to equip future educational leaders with essential skills. This programme places a strong emphasis on effective leadership, educational policy, and management within a variety of educational settings. Graduates from this programme emerge well-prepared to take on leadership roles within academic institutions and drive positive changes in the field of education. The MBA in Educational Leadership and Management is designed to empower educators and education professionals with advanced knowledge and skills in leadership and management. This programme presents an excellent opportunity for individuals with a relevant postgraduate diploma or an equivalent qualification to "top up" their credentials to earn a full MBA degree. Throughout this programme, students engage deeply with the intricacies of educational leadership and management, gaining valuable insights into the latest theories, practices, and strategies relevant to the educational sector. The curriculum strongly focuses on critical areas such as leadership theory, organisational management, policy development, and educational change management. The programme provides students with the tools needed to address the complex challenges that educational organisations face today, ultimately enhancing the quality of education. This MBA in Educational Leadership and Management enhances career prospects and actively contributes to improving educational systems. The programme comprises two phases; the first is the Qualifi Level 7 Diploma in Educational Management and Leadership, awarded by Qualifi and delivered by the School of Business and Technology London. The second phase is the MBA in Educational Leadership and Management Top Up, awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, pc or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. About Awarding Body Anglia Ruskin University began in 1858 as the Cambridge School of Art founded by William Beaumont. It was then merged with the Cambridge shire College of Arts and Technology and the Essex Institute of Higher Education and was renamed Anglia Polytechnic. It was then given university status in 1992 and renamed Anglia Ruskin University in 2005. The university has campuses in the UK (Cambridge, Chelmsford, London and Peterborough), as well as they are partnered with institutions around the world including Berlin, Budapest, Trinidad, Singapore and Kuala Lumpur. Assessment Assignments and Project No examinations Entry Requirements A bachelor's degree Applicant without a bachelor's degree but holding significant relevant experience will be considered for entry on a case-by-case basis. A good command of English (IELTS 6.0 or equivalent). 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. Structure Phase -1 - Qualifi Level 7 Diploma in Educational Management and Leadership The QUALIFI Level 7 Diploma in Educational Management and Leadership is made up of 120 credits, which equates to hours 1200 of TQT. Learners must complete two mandatory units and choose four optional units to achieve a minimum of 120 credits. Mandatory Units Leadership Qualities and Practice in Education Unit Reference -T/618/3135 TQT : 200 Credit : 20 The unit will explore how team performance can be evaluated and optimised to realise strategic business and operational objectives. Contemporary Issues in Education: Theory, Policy and Practice Unit Reference - A/618/3136 TQT : 200 Credit : 20 This unit provides learners with an understanding of the link between educational research, policy and practice.   Optional Units Managing Change in an Educational Context Unit Reference - F/618/3137 TQT : 200 Credit : 20 This unit aims to develop learners' understanding of educational leadership and management in supporting change and developing leadership in their educational context. Pedagogy and Practice in Education Unit Reference - J/618/3138 TQT : 200 Credit : 20 This unit aims to develop learners' theoretical and practical grounding in approaches to teaching and learning related to subject academic knowledge and educational practices. Leading Reflective Practice in Education Unit Reference - L/618/3139 TQT : 200 Credit : 20 This unit aims to develop learners' understanding of reflective practice to apply this to their and other's roles in an educational context, leading to planning for personal development. Research Methods in Education Unit Reference - F/618/3140 TQT : 200 Credit : 20 This unit aims to develop research skills, including different approaches, proposal formulation, planning, data analysis, and exploring research's relationship with evidence-based practice. Postgraduate Study of Childhood, Education and Family Support Unit Reference - A/650/6687 TQT : 200 Credit : 20 The unit will offer a framework for each individual's evaluation of their academic and professional action plans for personal and professional learning. Research Methods for Childhood, Education and Family Support Unit Reference - D/650/6688 TQT : 200 Credit : 20 This unit aims to help learners identify and develop a focus on research and approaches to data analysis, such as phenomenological and hermeneutic approaches and descriptive statistics. Triangulating Theory and Practice Unit Reference - F/650/6689 TQT : 200 Credit : 20 This unit aims to assist educators in comprehending the theories that drive recommendations for best practices and calls for action in a challenging and quickly evolving professional context. Contemporary Issues in Education Unit Reference - K/650/6690 TQT : 200 Credit : 20  This unit aims to introduce learners to various emerging topics from many educational sectors.    Phase 2 - MBA in Educational Leadership and Management Top-Up Programme Structure Developing Effective Management Systems Dissertation (Major Project) Delivery Methods The programme comprises two phases; the first is the Qualifi Level 7 Diploma in Educational Management and Leadership, awarded by Qualifi and delivered by the School of Business and Technology London. The School of Business and Technology London offers flexible learning methods, including online and blended learning, allowing students to choose the mode of study that suits their preferences and schedules. The program is self-paced and facilitated through an advanced Learning Management System. Students can easily interact with tutors through the SBTL Support Desk Portal System for course material discussions, guidance, assistance, and assessment feedback on assignments. School of Business and Technology London provides exceptional support and infrastructure for online and blended learning. Students benefit from dedicated tutors who guide and support them throughout their learning journey, ensuring a high level of assistance. The second phase is the MBA in Educational Leadership and Management Top Up, awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, pc or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. 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.

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.