17705 Teaching courses in Chertsey delivered On Demand

This online piano course will give you step-by-step instructions through video lessons, enabling you to learn to play fluently and confidently. There is also complete flexibility so that you can progress at your own pace and work through the lessons in your own time.

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.

Improve your ability to deliver training and help trainers become better at teaching those around them with the Training Manager course. In this course you will learn; user-friendly learning design processes created to help experts looking to become experienced trainers. The Training Manager covers; approaches to designing and delivering training practices, along with improving your leadership and communication skills, too. Learning Outcomes of The Training Manager:  Learn how to define a successful training programme Discover the essentials of a quality training programme Learn how to perform a training needs analysis Learn how to evaluate training delivery Discover how to tell stories when delivering training Develop your creative and communicative skills Learn how to resolve conflicts in the training room Improve your stress management skills. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £119. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate.

I will be talking about neurodiversity amongst dancers and presenting you with ways to make your classes more neurodiversity friendly. How can you teach in a way that is effective to everyone who attends? How can you as a student make the most of your classes? It is our responsibility as dance tutors to ensure we support and welcome everyone who wants to dance. It is our responsibility to be informed and do better.

Sustainable Energy Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Sustainable Energy Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 04 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Module 01: An Introduction to Sustainable Energy An Introduction to Sustainable Energy 00:16:00 Module 02: Solar Energy: Thermal Solar Energy Thermal 00:17:00 Module 03: Solar Energy: Photovoltaics Solar Energy Photovoltaics 00:22:00 Module 04: Wind Energy Wind Energy 00:26:00 Module 05: Bioenergy Bioenergy 00:27:00 Module 06: Geothermal Energy Geothermal Energy 00:25:00 Module 07: Tidal Energy Tidal Energy 00:22:00 Module 08: Environmental Impacts: A Global and Regional Assessment Environmental Impacts A Global and Regional Assessment 00:26:00 Module 09: Renewable Energy and Sustainable Development Renewable Energy and Sustainable Development 00:21:00 Module 10: The Future of Renewable Energy in the UK into the 2020s and Beyond The Future of Renewable Energy in the UK into the 2020s and Beyond 00:19:00

Construction Industry Scheme (CIS) is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Construction Industry Scheme (CIS) and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 4 hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Module 01: Construction Industry Scheme (CIS) Construction Industry Scheme (CIS) 00:22:00 Module 02: Coverage of the Scheme Coverage of the Scheme 00:35:00 Module 03: Contractors and Registration for the Scheme Contractors and Registration for the Scheme 00:23:00 Module 04: Verification Process Verification Process 00:29:00 Module 05: The CIS Returns The CIS Returns 00:16:00 Module 06: Record Keeping and CIS Certificates Record Keeping and CIS Certificates 00:22:00 Module 07: Penalties Involved in CIS Penalties Involved in CIS 00:22:00 Module 08: Miscellaneous Information Miscellaneous Information 00:45:00

The demand for highly skilled educators has never been higher in the United Kingdom. To excel in the dynamic world of education, teachers need more than just subject knowledge – they require a holistic set of management skills to foster an enriching learning environment. That's where our Management Skills Bundle Course for Teachers comes into play!

Description Classic Vehicle Restoration Diploma Presenting our innovative online course - the Classic Vehicle Restoration Diploma. This course brings the captivating world of classic vehicle restoration to your fingertips, making it accessible to anyone, anywhere. The Classic Vehicle Restoration Diploma is a carefully structured and comprehensive online course designed to impart a deep understanding of the traditional techniques used in the restoration of classic vehicles. It's a quintessential choice for enthusiasts who wish to rejuvenate and restore the charm of a vintage car or for those who aspire to join the professional world of classic vehicle restoration. Initiating with an insightful 'Introduction to Vehicle Restoration', the course provides an engaging overview of the exciting world of classic vehicles. It elucidates on the nuances of bringing vintage cars back to life and sets the tone for the in-depth exploration to follow. 'Safety' is our utmost priority. The course underscores the importance of safety measures when working with older vehicles. Learners will acquire vital knowledge about precautions and best practices to ensure they can work in a safe and secure environment. 'Panel Removal and Fitting' is a crucial segment that tutors the precise techniques to remove and refit vehicle panels without causing any undue damage. This will prove indispensable in your vehicle restoration journey. Next, the course tackles 'Sectional Repairing', providing students with the fundamentals of sectional vehicle repair. It covers the intricacies of treating different sections of a classic vehicle to restore them to their former glory. The chapters on 'Doors', 'Sills and Floors', 'Chassis', and 'Wheelarches' individually focus on these specific parts of the vehicle. Each segment provides a step-by-step guide, enabling you to master the essential skills required to rejuvenate these crucial components effectively. 'Metal Forming Techniques & Panel Beating' is an exciting module. Here, you'll learn the traditional methods of reshaping metal, teaching you the art of restoring bodywork with precision and skill. This section is integral to understanding how the metalwork of a classic vehicle can be returned to its original condition. Finally, the 'Welding' section, an essential skill for any vehicle restorer, is comprehensive and practical. Whether you are a beginner or an experienced welder, this part of the course equips you with the necessary welding techniques applicable in vehicle restoration. Throughout the Classic Vehicle Restoration Diploma course, you will be guided by experienced tutors. Their real-world experience combined with a structured online teaching approach ensures a seamless and effective learning experience. It is their expert guidance that will foster your understanding and enhance your practical skills. In conclusion, the Classic Vehicle Restoration Diploma is an all-inclusive online course that serves as a passport to the enthralling world of classic vehicle restoration. Regardless of your background or skill level, this course provides you with the knowledge and techniques required to restore a classic vehicle to its prime. Embrace this opportunity to transform your passion for classic vehicles into an impressive skill-set. Enroll in the Classic Vehicle Restoration Diploma course today, and set out on your personal journey towards becoming an accomplished classic vehicle restorer. What you will learn 1:Introduction to Vehicle Restoration 2:Safety 3:Panel Removal and Fitting 4:Sectional Repairing 5:Doors 6:Sills and Floors 7:Chassis 8:Wheelarches 9:Metal forming techniques & Panel Beating 10:Welding Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Description Educational Technology Diploma Introducing the Educational Technology Diploma, a comprehensive online course meticulously crafted to guide learners through the dynamic realm of educational technology. This course promises to offer students profound insights into the ever-evolving world of tech-driven education. A blend of theory and practical understanding, it strives to produce individuals who are not only well-versed in educational technology but can also adeptly implement these learnings in real-world scenarios. The course begins with an 'Introduction to Educational Technology', giving students a holistic understanding of the field's nuances. As the journey progresses, one will uncover the 'Theories and Models of Educational Technology'. These foundational concepts ensure that students understand the principles and practices that govern this domain. No educational technology course would be complete without exploring the tangible and intangible tools. With 'Hardware and Software in Educational Technology', learners are introduced to the core technical components, and their educational applications. The next step in this digital adventure is understanding 'The Internet and Digital Literacy'. In the digital age, it is imperative for educators to be internet-savvy and understand the intricacies of digital literacy. With the rise in smartphone usage, 'Mobile Learning and Educational Apps' has seen an unprecedented surge. This course segment guides learners on harnessing the power of mobile devices to enhance the learning experience. On a similar note, 'Social Media and Collaboration Tools' enlightens students about the potential of social media in education. From fostering collaboration to enhancing engagement, social media brings a new dimension to modern-day teaching methods. The Educational Technology Diploma also sheds light on the exciting world of 'Gamification and Game-based Learning'. Engaging and interactive, this module introduces techniques to make learning enjoyable and retention-focused. The subsequent section, 'Learning Analytics and Data-Driven Instruction', provides a deep understanding of how data can inform teaching strategies, helping educators personalise the learning journey for each student. 'E-Learning and Distance Learning' is undeniably one of the most pertinent topics today. The course walks students through the methodologies and strategies to create effective e-learning modules, ensuring learners remain engaged and motivated despite physical distances. Finally, the course culminates with 'Future of Educational Technology'. As the landscape of education and technology is in constant flux, this section propels learners into the possible advancements and innovations that the future might hold. It encourages students to think ahead, ensuring that they remain at the forefront of educational technology advancements. To summarise, the Educational Technology Diploma is more than just an online course; it is a gateway to the future of education. This meticulously designed curriculum guarantees that upon completion, learners will be armed with the knowledge and skills required to navigate and innovate in the digital education arena. Enrol today to embark on this enlightening journey into the world of educational technology. What you will learn 1:Introduction to Educational Technology 2:Theories and Models of Educational Technology 3:Hardware and Software in Educational Technology 4:The Internet and Digital Literacy 5:Mobile Learning and Educational Apps 6:Social Media and Collaboration Tools 7:Gamification and Game-based Learning 8:Learning Analytics and Data-Driven Instruction 9:E-Learning and Distance Learning 10:Future of Educational Technology Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Description Iridology Diploma  Iridology is an alternative science that may not be as familiar as other alternative sciences, but it is fascinating. Iridology is also sometimes called 'iridiagnosis' or 'iridodiagnosis'. The practice involves assessing a patient's iris in detail to diagnose any past, present, or even future issues that may affect the person's health. With the information gathered through the assessment, patients can explore preventive measures to help them control and counter symptoms well before the disease begins. Elearncollege Iridology Diploma course is aimed at teaching students everything they need to know about Iridology. The Iridology Diploma course is divided into three sections: - Background and Introduction. - The Processes and Methods in Iridology. - How to Start Your Own Business in the Practice and How to Run It. Students will learn about Iridology, why it's practised, patient treatment protocols, and how to establish and maintain a business. Iridology is a powerful naturopathic diagnostic technique. The diagnosis based on the iris study is fascinating and invaluable, a technique that can be used for self-diagnosis and to diagnose patients in any alternative medicine approach. It is even more helpful in the field of holistic nutritional medicine. The iris offers a vivid vitalistic and naturopathic diagnostic vision that enables us to perceive poisons and energy in any body region. This kind of diagnosis is beneficial in focusing on and monitoring any treatment. The practice is entirely non-invasive. It has proven to be completely accurate over and over again. The technique involves deeply analysing the human iris's exposed nerve endings and eye colour. The colours of the iris and the several structural variations seen on different irises reflect a person's uniqueness as determined by their genetics. The Iridology Diploma course teaches you how to study the iris to understand signals that might indicate a patient's bodily composition and genetic vulnerability to specific medical illnesses. You can also tell from the iris whether or not patients' tissues and organs have toxins, are under stress, or are inflamed. Iridology is an excellent tool for practitioners and students who want to deliver individualised care to their patients by teaching them about their inherent weaknesses and strengths. Iridology is unique and especially suited to preventive medicine because it allows personalised programmes on cleansing and building health. Through the course, you will learn skills to assess, teach, and mentor the self-healing process. You will discover how techniques like regeneration, transformation, and purification, can bring clarity, light, and other positive changes to the iris. You can experience the many benefits that natural healing brings and become a guide to others who can inspire them. The alternative medical practice of Iridology is also helpful in understanding the effect of stress, habits, and lifestyle on a person's weaknesses and strengths. These interact and lead to specific issues affecting mind, body, and health dynamics. These adverse effects can be reversed through iridology and lifestyle and diet interventions by a well-informed individual. What you will learn   1: Scope of Iridology  2: Charts and Zones  3: Anatomy, Density and Shading  4: Terminology  5: Constitutional Types in Iridology  6: Iris Structure and Physical Strength  7: Lacunae  8: Collarette and Its Digestive Signs  9: Contraction Furrows and Pupil Signs  Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.