294 GCSE courses delivered Online

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Ever wondered about the workings of your mobile? Or the forces preventing us from slipping? Or how sound travels through your earphones? Physics is about much more than black holes and atmospheres; it's the study of unseen forces that orchestrate our world, offering answers to life's profound questions. This dynamic online programme delves deep into energy forms, their storage and transfer. You will learn about the structure of particles that constitute our surroundings, and their interactions. Explore electromagnetism, properties of radiation waves, and the marvels of the solar system. IGCSE Physics is a gateway to careers in astronomy, environmental science, engineering and beyond, and to further university study. Self-paced, with a comprehensive induction and well-structured assignments, it prepares you for your exams at your convenience. Key Benefits: Up-to-date course designed with captivating, dynamic content Fast-track option available for 2022 exams Access to our network of partner exam centres (guaranteed exam venue) Unlimited tutor support for tailored study plans and continual assistance Exam pass guarantee (we'll support you to the next exam if you don't pass first time) Physics is the science of matter, motion, energy, and universal laws. This IGCSE distance learning programme introduces fundamental physics concepts, including heat, light, magnetism and electricity. About the awarding body Awarding body: Edexcel Our course code: X814 Qualification code: 4PH1 Edexcel, the UK's largest awarding organisation, offers academic and vocational qualifications in schools, colleges, and workplaces in the UK and abroad. They have facilitated success through learning for nearly two decades. ⏱ Study Hours Allow for between 120-150 hours’ study time, plus additional time for completing assignments. 👩‍🏫 Study Method Our course is offered via our interactive online learning platform with a variety of learning resources such as videos, quizzes, and activities. You can also print the materials if preferred. 📆 Course Duration Enrol now for a course start date of 01/09/23. You'll receive your login details to MyOxbridge (our online platform) before this date. You will enjoy unlimited tutor support for two years from your course start date. 📋 Assessment Enrolment for examinations from Summer 2024 is now open. This is a linear qualification; students will sit all their exams at the end of the course. Two GCSE standard written exams are required. Guaranteed exam spaces are provided in one of our UK exam centres. Check your closest exam centre. Throughout the course, various assignments will be required. These are not counted towards your final grade but offer an opportunity for tutor feedback and progress monitoring. 👩‍🎓 Course Outcomes Upon successful completion, you'll receive an IGCSE in Physics, awarded by Edexcel. This syllabus is specifically chosen for its suitability to distance learning. ℹ️ Additional Information Difficulty - Level 2 Entry Requirements - While there are no formal entry requirements, intermediate English reading and writing ability is recommended. Course Content Forces and motion Electricity Waves Energy resources and energy transfers Solids, liquids, and gases Magnetism and electromagnetism Radioactivity and particles Astrophysics

The Level 5 Diploma in Education and Training (RQF) formerly known as DTLLS, is suitable for those who are in a teaching or training role and wish to obtain a degree level qualification. It is also suitable for trainee teachers as well as those who have experience in a teaching role. The Level 5 Diploma in Education and Training (RQF) provides learners with the knowledge and understanding of delivering education and training, assessing learners, planning in education and training, using resources in the delivery in education and training, and understanding the roles and responsibilities within education and training. This qualification will also allow the individual to apply for Qualified Teacher Learning and Skills (QTLS) status. Learners will achieve 120 credits across 7 units: Teaching, learning and assessment in education and training Developing teaching, learning and assessment in education and training Theories, principles and models in education and training Wider professional practice and development in education and training Developing, using and organising resources in a specialist area* Inclusive practice* Teaching in a specialist area* *alternative units may be available upon request tailored to your specific area of teaching,

Unleash the potential of your mind with this awe-inspiring journey into the realm of psychology. Embark on an exploration of the enigmatic human brain, the epicentre of our thoughts, emotions and behaviours. This comprehensive A-Level Psychology Course is your pathway to understanding the rapidly-evolving science of the mind, and its critical role in the functioning of our society. Discover diverse dimensions of psychology, and their intricate interconnections. Through the course, you will master transferable skills of analysis, evaluation, and critical thinking, arming you with a scientific understanding of the human psyche. Intrigued by the complexity of human behaviour? This course is your gateway to the intriguing world of psychology. A-Levels hold a coveted position in the UK education system, widely recognised by universities and employers as an emblem of significant accomplishment. Securing an A-Level not only demonstrates in-depth understanding of a subject but also enhances your career prospects and unlocks new opportunities. Crafted according to the latest specifications, our A-Level Psychology course ensures you are poised for success. With a well-structured curriculum, guided by clear instructions and engaging assignments, you'll acquire the knowledge and skills required for the examination. Key Features: 💡 Cutting-edge course content, crafted according to the latest specifications 🚀 Fast-track option available (for exams in 2022) 🎯 Access to a network of partner exam centres (guaranteed exam venue) 👩‍🏫 Unlimited tutor support – comprehensive study plan and constant support 🎯 Exam pass guarantee (Get our support until you clear the exam) Delve into the fascinating science of the mind. Unearth the intricate workings of the human brain, the organ that governs our every perception and sensation. Embark on a journey into the realm of […] About the awarding body Awarding body: AQA Our course code: X915 Qualification code: 7182 AQA qualifications are globally recognised and delivered in 30 countries, treasured by employers and universities, empowering learners to advance to the subsequent phase of their journey. The suite of AQA qualifications caters to a wide range of abilities, encompassing GCSEs, IGCSEs, and A-levels. ⏱ Study Hours: Allocate between 250 and 300 hours of study time, with additional time for completing assignments. 👩‍🏫 Study Method: The course is delivered via our dynamic online learning platform. Don't fret if you prefer hard copies, the learning materials can be printed. The resources are available in various formats including videos, quizzes, and interactive activities. 📆 Course Duration: Enjoy unlimited tutor support for up to 24 months from the date of enrolment. You will receive your logins to our MyOxbridge portal where your learning materials are accessible. 📋 Assessment: Enrolments are for exams in Summer 2022.  Complete the standard written exams, each lasting 2 hours and worth 33.3% of marks. We ensure a guaranteed exam space in one of our centres nationwide, eliminating the hassle of finding your own. Check your nearest exam centre. Throughout your course, tutor-marked assignments (TMAs) are required. These do not impact your final grade but provide a chance to receive marking and feedback from your tutor, helping gauge your progress. 👩‍🎓 Course Outcomes: Upon successful completion, you will receive an A-Level in Psychology, issued by AQA, identical to that issued to students at other schools, colleges or universities. This syllabus has been carefully selected as it is best suited to distance learning.  ℹ️ Additional Information: Difficulty - Level 3 Entry Requirements - A science GCSE or equivalent, preferably in biology, is highly recommended. You should also be at ease with dealing with numbers. UCAS Points - 56 Course Content: Immerse yourself in a rich tapestry of subjects, including Social Influence, Memory, Attachment, Psychopathology, Approaches in Psychology, and Biopsychology. You'll delve into topics like conformity, memory models, infant interactions, mental disorders, different learning approaches, and the central nervous system, offering a well-rounded understanding of the human mind and behaviour.

An online Training Room for Teachers of GCSE & A Level Textiles for both Art & Design and D&T.

An online Training Room for Teachers of GCSE & A Level Textiles for both Art & Design and D&T.

An online Training Room for Teachers of GCSE & A Level Textiles for both Art & Design and D&T.

An online Training Room for Teachers of GCSE & A Level Textiles for both Art & Design and D&T.

Curious about the world around you? Our IGCSE Chemistry online study programme provides a fascinating journey through the very fabric of existence. Understand why ice floats, why leaves change their colour, and the reason behind the saltiness of the sea. Our course empowers you to unlock the answers to these questions and much more! Brimming with dynamic content and scientific challenges, this course sharpens your analytical thinking and fosters a deep understanding of various topics, from the structure of atoms to the mechanics of fuel production. 💡 This programme is an excellent choice for those looking towards careers in health and clinical professions such as medicine, veterinary science, nursing, dentistry, or forensic science. Teaming this course with complementary GCSEs can pave the way for your A-level studies or university education.  Tailor-made for online study, our course adheres to the new Edexcel IGCSE Chemistry syllabus and provides flexibility in your learning journey. With unlimited tutor support, a clear induction, and well-structured assignments, we will equip you with the skills and knowledge needed to excel in your exams. For students based in the UK, we offer guaranteed access to one of our exam centres for the final assessment. 🎓 Why Choose Us? Dynamic and engaging content, designed to the latest syllabus. Fast track option available for 2022 exams. Guaranteed exam venue through our partnership network of exam centres. Unlimited tutor support: we help you create a study plan and support you throughout your journey. Exam pass guarantee: didn't pass the first time? We'll support you till your next exam! Chemistry can be challenging, but the reward is a comprehensive scientific understanding that opens the door to numerous academic and professional pathways.  About the awarding body Awarding body: Edexcel Our course code: X804 Qualification code: 4CH1 Official Qualification Title: GCSE Chemistry Edexcel, the UK's largest awarding organisation, has been aiding individuals to achieve their goals through learning for nearly two decades. They offer a wide range of academic and vocational qualifications in both domestic and international schools, colleges, and workplaces. ⏱️ Study Hours: Expect between 120 to 150 hours of study, plus time for completing assignments. 👩‍🏫 Study Method: Delivered via our interactive online platform, our course boasts a variety of media including videos, quizzes, and engaging activities. Need printed materials? No problem, you can print them yourself! 📆 Course Duration: Register today for the course commencing on 01/09/21. Your login to MyOxbridge, our online platform, will be issued ahead of the start date. Once enrolled, enjoy unlimited tutor support for two years. 📋 Assessment: Registration for Summer 2022 examinations is open. You'll need to complete two IGCSE standard written exams, a mixture of multiple-choice questions, short-answer questions, calculations, and extended open-response questions. We also offer guaranteed exam spaces at our UK centres. Throughout your course, complete various assignments for feedback, helping you monitor your progress. 👩‍🎓 Course Outcomes: Upon successful completion, you will earn an IGCSE in Chemistry, issued by Edexcel, designed specifically for distance learning. ℹ️ Additional Information: This course has a Level 2 difficulty. There are no formal entry requirements; however, we recommend an intermediate ability to read and write in English. Course Content: - Principles of Chemistry: Explore the states of matter, atomic structures, the periodic table, electrolysis, and different types of bonding. - Inorganic Chemistry: Learn about alkali metals, atmospheric gases, metal extraction from compounds, acid-base reactions, and identifying gases and anions. - Physical Chemistry: Understand endothermic and exothermic reactions, calculate energy changes, explore rates of reaction, reversible reactions, and equilibria. - Organic Chemistry: Delve into organic chemistry, study crude oil and fractional distillation, and learn about the reactions of organic compounds like alkanes, alkenes, and alcohols.

The Level 5 Diploma in Education and Training (L5 DET) is an industry-standard qualification for those teaching in the post-16 sector.