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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.

Getting Started The QUALIFI Level 4 Diploma in Entrepreneurship programme develops and rewards the business managers of today and the future and continues to bring recognition and professionalism to the management sectors. The Diploma will link to key development in areas of commerce. Contemporary issues are identified and evaluated so the learner has a true vocational understanding of the industry and an academic perspective. The learners gain an opportunity to learn relevant new skills and qualities that advance the thought leadership of organisations, offering conceptual and practical insights applicable to today's and tomorrow's companies Key Benefits To understand and apply the principles of leadership in a business environment. To understand, review and apply business management principles within the industry. To improve learners' employability by allowing them to explore the relationship between management theories and their practical application in the business world. Analyse problem-solving techniques specific to business and industry. Effectively use verbal and communication skills. Work independently and as part of a team. Manage one's personal development and growth Key Highlights 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 QUALIFI-approved 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 The QUALIFI 4 Diploma in Entrepreneurship can open many career pathways including, but not limited to: Entrepreneur; with an estimated average salary of £28,000 per annum Business Consultant with an estimated average salary of £30,000 per annum Corporate Recruiter, with an estimated average salary of £27,789 per annum Management Analyst with an estimated average salary of £28,000 per annum Market Research Analyst with an estimated average salary of £32,000 per annum Mid-level management with an estimated average salary of £28,000 per annum New Venture Developer with an estimated average salary of £30,000 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) Entry Requirements Entry to the qualification will be through a centre interview, and learners will be expected to hold the following:  Demonstrated some ability and possess qualifications at Level 3, for example, 'A' Levels or vocational awards; Spent some time in an organisational role and shown they have the capability and drive to develop Seeking further professional development and gaining work-related skills and know-how. Progression Learners completing the QUALIFI Level 4 Diploma in Entrepreneurship can progress to: The QUALIFI Level 5 Diploma in Business Management or Business Enterprise or The second year of undergraduate study in business management or Directly into employment in an associated profession. 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- Managing Business Operations Reference No : R/617/4961 Credit : 12 || TQT : 120 This unit aims to introduce learners to key aspects of all businesses and how they operate within the wider business environment and internally. Learners will gain knowledge and understand the key business functions and their importance to business success. UNIT2- Business Environment Reference No : Y/617/4962 Credit : 12 || TQT : 120 This unit aims to develop the learner's knowledge of the business environment and its impact on organisations. This includes factors that shape the internal environment and other external influences that affect an organisation in the 21st century. The learners will be able to develop approaches for managing change and explore internal strategies for responding to globalisation. UNIT3- Personal Effectiveness Reference No : D/617/4963 Credit : 12 || TQT : 120 This unit explores the skills of different approaches to learning and examines the significance of time management. It investigates the skills managers need to develop to solve problems and make decisions and discusses management stress. UNIT4- The Entrepreneurial Manager Reference No : H/617/4964 Credit : 12 || TQT : 120 This unit aims to identify competing perspectives on the nature of entrepreneurial management as both a function and a process supporting the organisational change and development strategy. UNIT5- Business Planning and Goal Setting Reference No : K/617/4965 Credit : 12 || TQT : 120 This unit aims to identify mechanisms for setting organisational goals and their achievement as part of the business planning process. The learner learns how to perform appropriate analysis to facilitate an organisation's strategy development. The learner comprehends the key concepts central to competitive research and market strategy development. They also learn how to measure and monitor the implementation of a business plan effectively. UNIT6- The Manager's Toolkit Reference No : M/617/4966 Credit : 12 || TQT : 120 This unit selects the most useful tools used in management and explores some of the uses of each. It aims to provide sufficient information to understand the principles behind each instrument and enable them to be used confidently. The unit aims to help learners analyse organisational situations, develop solutions to organisational problems, evaluate an organisation's position in its operating and competitive environment, and design elements of an effective corporate strategy. UNIT7- Managing and Using Finance Reference No : T/617/4967 Credit : 12 || TQT : 120 This unit outlines the use and management of finance within an organisation. This includes an introduction to accounting and financial terminology. Learners are also introduced to the basics of financial reporting and the principles of effective budgeting. UNIT8- Managing and Using Marketing Reference No : A/617/4968 Credit : 12 || TQT : 120 This unit aims to develop knowledge of marketing as a key management tool. This includes understanding the marketing planning process and the role of internal and external marketing. Using this knowledge, the learners will be able to understand the value of marketing activities to an organisation and the benefits of e-marketing and explain how best to reach targeted customers using a website. UNIT9- Psychology of Entrepreneurship Reference No : F/617/4969 Credit : 12 || TQT : 120 This unit aims to introduce the fundamental principles of the science of psychology, relating them to the entrepreneurial perspective of business management. The learner will understand the influence of emotions on motivation that supports entrepreneurship and entrepreneurial personality. UNIT10- Innovation and Creativity Reference No : T/617/4970 Credit : 12 || TQT : 120 This unit describes the role of innovation and creativity in organisations. It considers models used to help understand and recognise their importance and techniques to facilitate their use in strategic development. 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.

10 QLS Endorsed Courses for Forex Trader | 10 QLS Hard Copy Certificates Included | Lifetime Access | Tutor Support

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Here are the 35 courses we will provide once you enrol in the program: Course 01: Introduction to HTML5 Course 02: CSS Fundamentals for Web Development Course 03: Responsive Web Design with Bootstrap Course 04: JavaScript Basics and Beyond Course 05: DOM Manipulation and Events in JavaScript Course 06: AJAX and Asynchronous JavaScript Course 07: Introduction to Node.js Course 08: Express.js Fundamentals Course 09: MongoDB for Beginners Course 10: RESTful API Design and Implementation Course 11: Authentication and Authorization in Web Development Course 12: Introduction to React.js Course 13: React Components and Props Course 14: State and Lifecycle in React Course 15: React Router and Navigation Course 16: Redux for State Management Course 17: Testing React Applications Course 18: Server-Side Rendering with Next.js Course 19: GraphQL Fundamentals Course 20: Apollo Client for React and GraphQL Course 21: Introduction to Angular Course 22: Angular Components and Directives Course 23: Services and Dependency Injection in Angular Course 24: Routing and Navigation in Angular Course 25: Angular Forms and Reactive Forms Course 26: Introduction to Vue.js Course 27: Vue Components and Props Course 28: State Management with Vuex Course 29: Vue Router and Navigation Course 30: Unit Testing in Vue.js Course 31: Webpack Fundamentals Course 32: Docker for Web Developers Course 33: Continuous Integration and Deployment (CI/CD) Course 34: Building Scalable and Maintainable Web Applications Course 35: Progressive Web Apps (PWAs) Essentials The Program is completed in 5 easy steps: Step 1 - Enrol in the program and start learning from the courses we provide After you enrol in this Web Developer Training Program, you will get lifetime access to 6 premium courses related to Web Developing. These courses will teach you the knowledge and skills required to become a successful Web Developer. Our customer service team will help you and keep in contact with you every step of the way. Step 2 - Complete your courses and get certifications After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks for the first course and 80% for the rest relevant courses. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 3 - Get a consultation session from a professional Web Developer Take your Web Developing skills to new heights with a one-on-one consultation session led by a seasoned professional. Gain invaluable insights, expert tips, and tailored advice that will propel your career forward. Step 4 - Complete the CV and attend the interview Once you've successfully obtained the certifications, our team of professionals will build you a compelling CV and LinkedIn profile. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Kickstart your Web Developing career with a starting salary ranging from •30,000 to •50,000 annually. Step into the Web Developing industry with the assurance of a promising future. Step 5 - We will not leave you until you find a job Our commitment to your success goes above and beyond. We won't stop until you land that dream job. With personalised support, expert guidance, and unwavering dedication, we'll be by your side until you secure the perfect opportunity. Your job search becomes our mission, ensuring you have the best chance at a successful career in Web Developing. With our comprehensive program, you'll gain the skills, confidence, and industry connections needed to excel in the ever-evolving world of web development. You just have to learn and gain knowledge and skills. Finding a job is our task! We will remove most of your worries and help you focus on only developing your skills. So join our Web Developer Training Program today, and let us be your trusted partner on your journey to success. CPD 1000 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Web Developer Training program is ideal for the following: Beginners who want to kickstart their career in web development. Experienced web developers looking to enhance their skill set and stay updated with the latest technologies. Individuals seeking personalised career mentoring and guidance in the web development industry. Job seekers who want to improve their chances of landing high-quality web development positions. Professionals from related fields looking to transition into web development and capitalise on the growing demand for skilled developers. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Requirements Our Web Developer Training program offers a clear career path for aspiring developers. Starting from foundational skills, you'll progress to advanced concepts, mastering various web technologies. With personalised mentoring, industry insights, and job placement support, we'll guide you towards securing your dream job as a skilled web developer. Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included Student ID Card Digital certificate - Included The Quality Licence Scheme Endorsed Certificate of Achievement Hard copy certificate - Included

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

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Level 3 Award in Assessing Competence in the Work Environment Course was known as A1 course. Learn More Academy provides Assessor distance learning or classroom based course in different locations in the UK. Level 3 Assessing Competence in the Work Environment is for practitioners who assess the demonstration of competence in a work environment using the following assessment methods: observation/examining work products/oral questioning and discussion/use of witnesses/learner statements/Recognition of Prior Learning (RPL). ABOUT THIS COURSE: Assessing Competence in the Work Environment is for practitioners who assess the demonstration of competence in a work environment using the following assessment methods: observation/examining work products/oral questioning and discussion/use of witnesses/learner statements/Recognition of Prior Learning (RPL). UNIT COVERED: Level 3 Award in Assessing Competence in the Work Environment (Assessor) course consists of the following 2 Units: Unit 1: Understanding the principles and practices of assessment D/601/5313 Unit 2: Assess occupational competence in the work environment H/601/5314 COURSE OUTLINE: • Understand the principles and requirements of assessment • Understand how to involve learners and others in assessment • Understand different types of assessment method • Understand the legal and good practice requirements in relation to assessment • Be able to plan the assessment of occupational competence • Understand how to plan assessment • Understand how to make assessment decisions • Be able to make assessment decisions about occupational competence • Be able to provide required information following the assessment of occupational competence • Understand quality assurance of the assessment process • Understand how to manage information relating to assessment • Be able to maintain legal and good practice requirements when assessing occupational competence ENTRY REQUIREMENT: There are no formal requirements for this course, however, candidates should be working in, or working towards a role in quality assurance. However to undertake the full Award candidates are required to have access to two learners. COURSE ASSESSMENT: No closed book exam is required and there is no formal examination is required, however at the end of the course you need to submit a portfolio assignment with related documents. WHY YOU CHOOSE US: • Qualified and long experienced trainers. • Recognised Training Provider. • Tutors support available. • 99% pass rate. • Very reasonable course fees. • No hidden cost/fees. • Quick result and certificates . • We have dedicated team to support you. • Career advise available if needed. HOW MUCH THIS COURSE COST? Level 3 Award in Assessing Competence in the Work Environment (TAQA) course will cost for Online Distance Learning £309.99 and for Webinar Classroom based course £429.99 There is no any hidden fess/cost.

24 Hour Flash Deal **40-in-1 Financial Modelling & Valuation Analyst (FMVA) Essentials Mega Bundle** Financial Modelling & Valuation Analyst (FMVA) Essentials Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps towards a successful long-term career by studying the Financial Modelling & Valuation Analyst (FMVA) Essentials package online with Studyhub through our online learning platform. The Financial Modelling & Valuation Analyst (FMVA) Essentials bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Financial Modelling & Valuation Analyst (FMVA) Essentials course provides complete 360-degree training on Financial Modelling & Valuation Analyst (FMVA) Essentials. You'll get not one, not two, not three, but forty Financial Modelling & Valuation Analyst (FMVA) Essentials courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Financial Modelling & Valuation Analyst (FMVA) Essentials courses are yours for as long as you want them once you enrol in this course. This Financial Modelling & Valuation Analyst (FMVA) Essentials Bundle consists the following career oriented courses: Course 01: Financial Modelling Course 02: Financial Modelling Course for a Non-Finance Background Course 03: Make Business Plans: Forecasting and Budgeting Course 04: Managing Budget: Financial Statements and Money Management Course 05: Capital Budgeting & Investment Decision Rules Course 06: Raise Money and Valuation for Business Course 07: Microsoft Excel Complete Course 2019 Course 08: VLOOKUP: Master Excel Formula VLOOKUP in 60 minutes! Course 09: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes! Course 10: SQL for Data Science, Data Analytics and Data Visualization Course 11: Microsoft PowerPoint for Beginners Course 12: Accounting Fundamentals Diploma Course 13: Understanding Financial Statements and Analysis Course 14: Fundamentals of Corporate Finance Course 15: Investment Banking Operations Professional Course 16: Fundamentals of Business Analysis Course 17: Finance: Financial Risk Management Course 18: Credit Control and Compliance Training Course 19: AutoCAD VBA Programming - Beginner course Course 20: Python Basic Programming for Absolute Beginners Course 21: Financial Planning Course 22: Cost Control Process and Management Course 23: Economics Level 2 Diploma Course 24: Actuary Certification: Navigating the Complex World of Risk and Finance Course 25: Finance Law Fundamentals: Legal Aspects of Financial Transactions Course 26: Accounts Receivable Management: Optimising Financial Processes Course 27: Efficient Accounts Payable Processing: Streamlining Financial Transactions Course 28: Demystifying Depreciation Accounting: Financial Insights Course 29: Mastering Partnership Accounting: Financial Strategies and Reporting Course 30: Finance for Non-finance Managers Certification Course 31: Corporate Finance: Profitability in a Financial Downturn Course 32: Business Strategy Planning Course 33: Debt Management, Assessment, Financing & Counselling Course 34: Machine Learning Basics Course 35: CompTIA CySA+ Cybersecurity Analyst Course Course 36: Business Finance Course 37: Financial Investigator Course 38: Financial Analysis Methods Course 39: Personal Financial Management & Wellness Course 40: Tax Strategy and Financial Planning for Beginners In this exclusive Financial Modelling & Valuation Analyst (FMVA) Essentials bundle, you really hit the jackpot. Here's what you get: Step by step Financial Modelling & Valuation Analyst (FMVA) Essentials lessons One to one assistance from Financial Modelling & Valuation Analyst (FMVA) Essentials professionals if you need it Innovative exams to test your knowledge after the Financial Modelling & Valuation Analyst (FMVA) Essentials course 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all forty Financial Modelling & Valuation Analyst (FMVA) Essentials courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Financial Modelling & Valuation Analyst (FMVA) Essentials certificate and transcript on the next working day Easily learn the Financial Modelling & Valuation Analyst (FMVA) Essentials skills and knowledge you want from the comfort of your home The Financial Modelling & Valuation Analyst (FMVA) Essentials course has been prepared by focusing largely on Financial Modelling & Valuation Analyst (FMVA) Essentials career readiness. It has been designed by our Financial Modelling & Valuation Analyst (FMVA) Essentials specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Financial Modelling & Valuation Analyst (FMVA) Essentials Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Financial Modelling & Valuation Analyst (FMVA) Essentials bundle course has been created with forty premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Financial Modelling & Valuation Analyst (FMVA) Essentials Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Financial Modelling & Valuation Analyst (FMVA) Essentials Elementary modules, allowing our students to grasp each lesson quickly. The Financial Modelling & Valuation Analyst (FMVA) Essentials course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. CPD 400 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Financial Modelling & Valuation Analyst (FMVA) Essentials training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Financial Modelling & Valuation Analyst (FMVA) Essentials. Requirements To participate in this Financial Modelling & Valuation Analyst (FMVA) Essentials course, all you need is - A smart device A secure internet connection And a keen interest in Financial Modelling & Valuation Analyst (FMVA) Essentials. Career path You will be able to kickstart your Financial Modelling & Valuation Analyst (FMVA) Essentials career because this course includes various courses as a bonus. This bundle is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Financial Modelling & Valuation Analyst (FMVA) Essentials career opportunities. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free Quality Licence Scheme Endorsed Certificate of Achievement Hard copy certificate - Included Upon successful completion of the course, you will be eligible to order QLS Endorsed Hardcopy Certificate titled 'Financial Modelling at QLS Level 3' Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.

To provide the knowledge and skills required to perform an internal audit of part of a occupational health and safety management system based on ISO 45001 and report on the effective implementation and maintenance of the management system in accordance with ISO 19011.