16041 Courses delivered On Demand

With a sharp focus on the scientific arena, our bundle, "Lab Technician, Chemical Spill & Biochemistry- QLS Endorsed", amalgamates a range of meticulously designed courses that aim to cultivate a proficient understanding of lab procedures, chemical safety, and biochemistry. Two of these are QLS-endorsed, a marker of quality and relevancy in the learning field, and completion of these will earn you hardcopy certificates, tangible proof of your knowledge enhancement. An additional five courses, all CPD QS accredited, further expand the horizons of learning by including topics such as Microbiology, Basic Biology, and COSHH Training for Assessors, to name a few. These subjects are meticulously intertwined, providing comprehensive exposure to different facets of science and laboratory work. The bundle is meticulously tailored to cover different elements of the scientific sphere, ensuring the learner evolves with a robust and well-rounded understanding of the field. By completing this bundle, you enhance not only your knowledge base but also your employability with recognised qualifications. ey Features of the Lab Technician, Chemical Spill & Biochemistry- QLS Endorsed Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Lab Technician, Chemical Spill & Biochemistry- QLS Endorsed bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Laboratory Technician Level 7 QLS Course 02: Chemical Spill QLS Course 03: Biochemistry 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Microbiology Course 02: Basic Biology Course 03: Level 3 Diploma in Anatomy and Physiology of Human Body Course 04: Infection Prevention Training Course 05: COSHH Training for Assessors In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Lab Technician, Chemical Spill & Biochemistry- QLS Endorsed courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Advanced understanding of laboratory operations and safety protocols. Deepened knowledge of chemical spill handling and prevention. Mastery of the principles of biochemistry. Proficient understanding of microbiological principles and techniques. Foundational knowledge in basic biology and its applications. Comprehensive grasp of human anatomy and physiology. Improved skills in infection prevention and COSHH assessment. This invigorating bundle serves as a comprehensive guide for those who aspire to elevate their competency in the field of laboratory work and biochemistry. Covering an expansive range of subjects, from the essence of human anatomy to the practicalities of infection prevention, it is a cornucopia of learning that promises a profound enhancement of your scientific understanding. Designed to equip learners with a formidable scientific knowledge base, this bundle is the ideal solution for those eager to excel in laboratory environments and biochemistry domains. It bridges the gap between theoretical understanding and practical application, seamlessly integrating different facets of science and lab work. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring lab technicians seeking comprehensive knowledge. Individuals interested in biochemistry and laboratory safety. Those aiming to enhance their skills in microbiology and basic biology. Professionals looking to broaden their knowledge in infection prevention and COSHH assessment. Career path Lab Technician: Average salary £21,000 - £27,000 annually in the UK. Biochemist: Average salary £31,000 - £44,000 annually in the UK. Microbiologist: Average salary £26,500 - £38,000 annually in the UK. Biology Teacher: Average salary £24,000 - £41,000 annually in the UK. Infection Control Nurse: Average salary £26,000 - £35,000 annually in the UK. Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Welcome to our course to become a Massage therapist for a massage certificate online! This course offer you a way to learn how to offer Classic Swedish Massage- one of the most used techniques in the World and by Swedish teachers. -In the course material that is only included in the diploma course you have the theoretical part that is needed if you want to become a massage therapist as well as the full instructional video. -Included in the massage certificate online course are also quizzes, follow ups, our E-book (Build your own Wellness Empire), a massage certificate online and more. -We are here for you, wether if you have questions about the course before buying or about the material after buying. Expectations: For full-time studies, we estimate that it takes about 30 days to complete the course with 50 massage hours included. Of these 50 hours, there also need to be treatments of 30 minutes, so the number of massage treatments you need to perform is between 52-100 to be approved. Please note that the course’s distribution of time is entirely up to you and you have three years to complete the course. To get started- What you need to start the course: Buy our diploma course Plan your studies, read the material, watch and re-watch the video material. Make sure to have a massage table, towels or sheets, massage oil or cream, a clock. Book your practise clients; friends and family so that you can practise- when you are ready (we recommend starting with sections before attempting to do full massages) To complete the course- What do you have to do to pass the course and get the massage certificate online: Learn the material, both written and video (massage) Pass the quizzes (you have several attempts) Pass the last exam (you have 3 years to complete the course and may re-take the test as many times you need) Complete practise hours, send in a client list as “proof” to get the diploma. We also offer you options to take the exams with us at our location, included in the price. Watch the video, practise on your “practise clients” and re-watch as many times as you need. Course summary and table of content: Part 1 (aprox. 120 hours) History General knowledge about massage Some positive effects Applications and indications Contraindications Ergonomics – and professions methods Part 2 (aprox. 250 hours) Massage grips in Classic Swedish Massage Methodology before treatment Classic Swedish Massage- The treatment After completion of treatment Stretching- teaching the client how to Part 3 (aprox. 180 hours) The Movement anatomy The human skeleton The muscles; their origin, attachments and functions Physiology Testing and examination of injury- an introduction to Sports massage Practise clients: 50 hours (aprox. 1,5 weeks) Curriculum Introduction To CourseIntroduction- Classic Swedish Massage Theory Part 1Written Course material part 1- Classic Swedish Massage Theory Part 2Written course material part 2 - Classic Swedish Massage Theory Part 3Written course material part 3 - Classic Swedish Massage Back- Upper BodyWarm up- Classic Swedish MassageLower back- Classic Swedish MassageGlutes- Classic Swedish MassageBack and Rhomboids- Classic Swedish MassageShoulders- Classic Swedish MassageNeck and finishing the back Legs And FeetBack of legs- Classic Swedish MassageFeet- Classic Swedish MassageFront legs- Classic Swedish Massage Front- Upper BodyStomache- Classic Swedish MassageArms-Classic Swedish MassageChest & face- Classic Swedish Massage Ending WordsEnding words- Classic Swedish Massage Extra Material- AnatomyAnatomy Muscles & Skeleton Complete VideoClassic Swedish Massage - Complete video Quiz OneQuiz 1 - CSM 10 questions 60 minutes Last TestLast test - CSM

Learn how to use Emotional Freedom Techniques (Tapping) specifically to release anxiety and panic attacks

Learning and applying new techniques can often be a daunting experience. This course helps you out with 100+ tips and tricks on Stata with each video designed to be stand-alone and taking no more than 2 minutes. If you want to learn more about Stata but don't have a lot of time, this is the course for you!

Code Your Own Drawing Application in Android Studio is an innovative course designed for aspiring developers and tech enthusiasts. This educational journey begins with an engaging introduction to creating a user interface (UI) and Paint View in Android Studio, setting the stage for a hands-on experience in app development. The course is structured to ignite your creativity and technical prowess, guiding you through the intricacies of building a functional drawing application from scratch. As you progress, you'll be immersed in the practical aspects of app design, learning to integrate key features that enhance user interaction and experience. This course offers a unique blend of artistic expression and technical skill, making it an ideal choice for those looking to combine their creative flair with coding expertise. Moving on to Module 02, the focus shifts to refining the Paint View Class, where you'll delve into the more technical aspects of application development. You'll learn how to seamlessly incorporate features like brush size and colour adjustments, essential for a comprehensive drawing app. Module 03 brings an exciting challenge: adding functionality to clear drawings and customize brush features, ensuring a user-friendly and versatile application. This course is not just about coding; it's about bringing an idea to life, culminating in a fully functional drawing application that you can proudly showcase in your portfolio. Learning Outcomes Master the basics of Android Studio, focusing on UI and Paint View development. Gain expertise in refining and managing the Paint View Class. Learn to implement essential features like brush size and colour adjustments. Develop skills to incorporate clear drawing functionality in the app. Complete a fully functional drawing application for a professional portfolio. Why choose this Code Your Own Drawing Application in Android Studio course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Code Your Own Drawing Application in Android Studio course for? Budding app developers keen on learning Android Studio. Creative individuals interested in combining art with technology. Computer science students looking to expand their programming skills. Hobbyists seeking to create their own digital drawing tools. Tech enthusiasts eager to explore app development in a hands-on manner. Career path Android App Developer - £25,000 to £50,000 Mobile Application Designer - £22,000 to £40,000 UI/UX Designer - £24,000 to £45,000 Software Engineer - £30,000 to £60,000 Creative Technologist - £28,000 to £50,000 Application Development Consultant - £35,000 to £55,000 Prerequisites This Code Your Own Drawing Application in Android Studio does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Drawing Application in Android Studio Module 01: Android Studio Drawing App Course, Creating UI and Paint View 00:32:00 Module 02: Finishing the Paint View Class 00:26:00 Module 03: Clear Drawing, Brush Size and Brush Colour Features 00:29:00 Assignment Assignment - Code Your Own Drawing Application in Android Studio 00:00:00

Level 5 Diploma (Free QLS Endorsed Certificate) | 12-in-1 Bundle | Free Certificates | CPD Accredited | Lifetime Access

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! This Diploma in Early Years Foundation Stage (EYFS) at QLS Level 5 course is endorsed by The Quality Licence Scheme Unlock the Potential of Early Childhood Education: Enroll in our Comprehensive Early Years Foundation Stage (EYFS) Course. Gain the Knowledge and EYFS Skills to Nurture and Support Young Children's Development, Setting the Foundation for Lifelong Learning and Success. Learning Outcomes for the Early Years Foundation Stage (EYFS) at QLS Level 5 Course: Understand the EYFS framework and its role in early childhood development. Recognize the importance of EYFS in promoting holistic development. Develop effective teaching techniques for EYFS settings. Gain skills for working as an EYFS teacher. Promote learning and development in line with EYFS principles. Support children with special educational needs or disabilities within EYFS. Comply with welfare requirements and ensure child safety in EYFS settings. Explore the educational philosophies and privileges of EYFS. Understand registration, inspection, and quality improvement processes in EYFS settings. Why Prefer This Early Years Foundation Stage (EYFS) at QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS, which is entirely free. Get instant access to these EYFS Courses. Learn EYFS from anywhere in the world EYFS Course is affordable and simple to understand EYFS is an entirely online, interactive lesson with voiceover audio Lifetime access to the EYFS course materials EYFS comes with 24/7 tutor support Free assessments available with EYFS Course *** Course Curriculum of Early Years Foundation Stage (EYFS)*** Here is the curriculum breakdown of the Early Years Foundation Stage (EYFS) at QLS Level 5 course: Module 01: Introduction to EYFS Module 02: Importance of Early Years in Development Module 03: EYFS Teaching Techniques Module 04: Working as an EYFS Teacher Module 05: Promoting Learning and Development Module 06: Children Having Special Education Needs or Disabilities Module 08: Welfare Requirements Module 09: The EYFS Educational Philosophies and Privileges Module 10: Registration, Inspection, and Quality Improvement Module 11: EYFS Framework in 2021 Assessment Process of Early Years Foundation Stage (EYFS): After completing an online module of Early Years Foundation Stage (EYFS) course, you will be given adn MCQ test & the passing score for each test will be set at 60%. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Early Years Foundation Stage (EYFS) at QLS Level 5exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Early Years Foundation Stage (EYFS) at QLS Level 5 course is perfect for highly motivated people Requirements No prior background or expertise is required for this Early Years Foundation Stage (EYFS) Course Career path Here are some potential job roles in the field of Early Years Foundation Stage (EYFS) education: Early Years Practitioner Early Years Teacher Nursery Manager Childcare Coordinator Early Years Consultant Early Intervention Specialist Early Childhood Education Trainer Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Early Years Foundation Stage (EYFS) at QLS Level 5 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Early Years Foundation Stage (EYFS) at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme andalso you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.

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.

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