Getting Started OTHM has curated a range of Level 5 Extended Diploma in Project Management qualifications designed to equip learners with industry-specific and practical skills. These qualifications empower learners to effectively apply their knowledge in real workplace settings, bolster their career opportunities, and facilitate their advancement into higher levels of education. Key features of OTHM Level 5 Extended Diploma qualifications include: 1. A stimulating and challenging curriculum that engages and informs learners. 2. Provision of essential subject knowledge enabling successful progression into further study or employment. 3. A simplified structure with foundational learning in Level 4 units, which is then built upon in Level 5 units. 4. Updated content closely aligned with the needs of employers and higher education. 5. Assessments that evaluate cognitive skills alongside affective and applied skills. 6. OTHM-set unit assignments and a diverse assessment approach that facilitates progression to Level 6 qualifications. Key Benefits Gain the ability to practice the fundamental principles of project management effectively. Comprehend how external and internal factors can influence decision-making concerning organisational development in Human Resource Management (HRM). Acquire the ability to utilise financial planning tools to analyse financial data and assess business risks. Demonstrate the capacity to implement ethical practices in project management. Comprehend how organisations utilise various elements to attain their overarching business objectives. Demonstrate the ability to utilise time management and prioritisation techniques effectively. Key Highlights Are you worried about the recent changes in the Project Management sector? Then, OTHM Level 5 Extended Diploma in Project Management is the ideal starting point for your career journey. The course will ensure access to the first-class education needed to achieve your goals and dreams and maximise 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 OTHM-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 After completing a Level 5 Extended Diploma in Project Management, individuals can explore various career opportunities in the legal field and related professions. Here are some potential career paths: Portfolio Manager, with an average salary of £46,439 per year Business analyst with an average salary of £54,398 per year Risk Manager, with an average salary of £79,202 per year Healthcare Project Manager with an average salary of £51,749 per year About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. 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 Assignment-based assessment (Formative and Summative) No exam Entry Requirements These qualifications are intended for learners typically 18 years and older. Learners' entry profiles are expected to encompass at least one of the following criteria: A relevant Level 3 Diploma qualification or its equivalent credential. Completion of GCE Advanced level courses in 2 subjects or an equivalent qualification. Mature learners aged over 21 with pertinent management experience (prior experience verification required from the delivery centre before registration) International students whose first language is not English must score 5.5 or above in IELTS (International English Language Testing System). Progression Successful completion of the OTHM Level 5 Extended Diploma in Project Management provides learners the opportunity to: Progress into or within employment and/or continue their further study or Learners may be eligible to gain direct entry into the final year of a three-year UK Bachelor's degree. Why gain a OTHM Qualification? Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation); hence, the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge every employer seeks. The learners pursuing an OTHM qualification will obtain an opportunity to enhance their knowledge and grow key competencies to tackle situations and work on projects more effectively, which will, in turn, give learners the potential to get promotions within the workplace. Alternatively, it allows them to progress onto an MBA top-up/Bachelor's degree / Master's degree programme around the World. Flexible study options- All OTHM qualifications have a credit value, which tells you how many credits are awarded when a unit is completed. The credit value will indicate how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: The award is achieved with 1 - 12 credits The certificate is completed with 13 - 36 credits The diploma is completed with at least 37 credits 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- PRINCIPLES OF PROJECT MANAGEMENT Reference No : M/650/4856 Credit : 20 || TQT : 200 This unit is crafted to aid learners in comprehending and implementing the principles of project management, allowing them to make a beneficial contribution to project endeavours within an organisational context. UNIT2- PEOPLE MANAGEMENT Reference No : R/650/4866 Credit : 20 || TQT : 200 This unit will provide learners with an introduction to various concepts related to people management and the processes and practices of human resources. It aims to develop an understanding of how individuals interact within organisations. UNIT3- INTRODUCTION TO BUSINESS FINANCE Reference No : T/650/4867 Credit : 20 || TQT : 200 This unit aims to enhance learners' financial understanding and knowledge within business organisations. It equips learners with the skills to make effective financial decisions. UNIT4- FUNDAMENTALS OF MANAGEMENT IN PROJECTS Reference No : A/650/4869 Credit : 20 || TQT : 200 This unit will introduce management concepts encompassing business functions, organisational structure, work design, and business ethics within project management. UNIT5- BUSINESS MARKETING Reference No : Y/650/4868 Credit : 20 || TQT : 200 This unit introduces learners to economic theories related to markets and competition, as well as aspects of the broader business environment, including government policies and the macroeconomy. UNIT6- PERSONAL AND PROFESSIONAL DEVELOPMENT Reference No : H/650/4870 Credit : 20 || TQT : 200 This unit will empower learners to heighten their personal and professional development awareness. By drawing on relevant theories and engaging in reflection and interaction with peers, learners will grasp the significance of personal development and acquire skills to improve their future employability. UNIT7- Operations Management in Projects Reference No : J/650/4871 Credit : 20 || TQT : 200 This unit aims to foster learners' knowledge and comprehension of operations management across diverse organisational contexts. It scrutinises various facets of operations management about formulating, strategising, overseeing, and enhancing business operations UNIT8- PROJECT QUALITY MANAGEMENT Reference No : K/650/4872 Credit : 20 || TQT : 200 This unit will explore the notion of quality, the procedures for managing quality, and their implications within projects and project management. UNIT9- BUSINESS STRATEGY AND SUSTAINABILITY Reference No : L/650/4873 Credit : 20 || TQT : 200 This unit aims to empower learners with insights into the intersection of business and society, equipping them with the skills needed to exercise responsible leadership for organisational sustainability. Learners will develop competencies in stakeholder engagement, macro-environment analysis, and offering evidence-based solutions for addressing business challenges. UNIT10- RESPONSIBLE BUSINESS PRACTICES Reference No : M/650/4874 Credit : 20 || TQT : 200 This unit enables learners to acquire the knowledge and competencies needed to critically assess the intricate role of business practices within global systems and to comprehend the challenges linked to responsible business transformation. UNIT11- PROJECT PLANNING, EXECUTION AND EVALUATION Reference No : R/650/4875 Credit : 20 || TQT : 200 In this hands-on unit, learners will implement project management strategies within a real-world business project. They will engage in self-directed and proactive study, initiate and formulate a client brief, and create efficient solutions. Learners will also have the chance to oversee a client project from its inception to conclusion, adhering to industry-standard methodologies. UNIT12- DIGITAL BUSINESS PRACTICES Reference No : T/650/4876 Credit : 20 || TQT : 200 In this unit, learners will grasp the influence of digital technologies on business operations. They will explore how these technologies align with business goals, foster customer engagement, enhance sales, and elevate customer service standards. This unit equips learners with practical insights into effectively utilising relevant technologies and applying modern digital approaches in business. 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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Traibcert Online training provide the knowledge and skills required to perform an internal audit of part of a Business Continuity management system based on ISO 22301 and report on the effective implementation and maintenance of the management system in accordance with ISO 19011.
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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IASSC lean six sigma green belt course. Online, 24/7 access to content and exam. Fee includes learning content, live webinars, tutor support, and official IASSC exam.
This course covers important solar-plus-storage design and installation requirements for the most recent iterations of the National Electrical Code (NEC 2017 and 2020). The course is intended for industry professionals who are already familiar with grid-interactive systems but want to understand NEC requirements specific to solar-plus-storage systems as demand for energy storage continues to rise. Introduction to interactive solar and solar+storage systems AC- and DC-coupled energy storage systems Introduction to PV and ESS NEC Articles NEC Article 690 (Sections: 690.12, 690.15, 690.55, 690.56, 690.71) NEC Article 706 NEC Article 705 (Sections: 705.1, 705.13, 705.2, 705.5, 705.6, 705.65, 705.7) NEC Article 480 and Article 710 Common design issues and wrap-up
Start Your Journey to Becoming a coder Today, and Make Up to •100,000 yearly The Future is Coding. The world is changing. The way we work is changing. And the skills we need to succeed are changing. In the future, coding will be essential. Whether you want to work in tech, business, or any other field, coding skills will give you a competitive edge. That's why we created the Coding Training - Career Mentoring & Support with Job Opportunity program. This program will teach you the skills you need to become a successful software developer. But it's not just about the coding. We also offer career mentoring and support. We'll help you develop your career goals, build your CV, and land your dream job. So what are you waiting for? The future is coding. And the future starts with us. Enrol Today! Our mission is simple: to be your trusted partner and assist you every step of the way until you land the job of your dreams. Why Choose Us Here's what makes our Coding Training Program stand out from the crowd: Personalised Job Search Assistance: We're in this together! Our dedicated team will work tirelessly to support your entire job searching process. From crafting a standout resume to submitting it to top companies, we'll ensure you have a compelling application that gets noticed. Expertly Crafted CV: Your resume is your ticket to the interview room. Our professional resume writers will create a customised CV highlighting your unique skills and experiences. This will maximise your chances of standing out among the competition. Strategic Placement: We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Coding field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and finesse. Comprehensive Skill Development: Our program is designed to equip you with the most sought-after skills in the coding sector. From mastering cutting-edge tools to honing your coding prowess, we'll ensure you have the knowledge and expertise to excel in any coding-driven environment. Ongoing Support: We understand that the journey to landing your dream job doesn't end with placement. That's why our commitment to your success extends well beyond your initial training. Our support team will be available to answer your questions, provide guidance, and assist you as you progress in your career. Here are the 6 courses we will provide once you enrol in the program: Course 01: Python 3 Programming Course 02: Coding with Scratch Course 03: Basic C# Coding Course 04: C++ Coding Masterclass Course 05: Introduction to Data Analysis Course 06: HTML and CSS Coding for Beginners and Kids These courses will help you to develop your knowledge and skills to become a successful coder. 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 Coding Training Program, you will get lifetime access to 6 premium courses related to coding. These courses will teach you the knowledge and skills required to become a successful coding expert. 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 coder Take your coding 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 coding career with a starting salary ranging from •30,000 to •50,000 annually. Step into the coding 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 coding. Don't let your dream career as a coder remain out of reach. 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 Coding Training Program today, and let us be your trusted partner on your journey to success. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Coding Training program is ideal for the following: Aspiring Coders: Individuals who have a passion for coding and are eager to embark on a career in the tech industry. Career Changers: Professionals from diverse backgrounds looking to transition into the world of coding and explore new opportunities. Recent Graduates: Graduates who want to enhance their job prospects and develop in-demand coding skills to kick-start their careers. Job Seekers: Individuals actively searching for employment in the tech sector and seeking the necessary training and support to secure a job. Tech Enthusiasts: Individuals with a strong interest in technology who want to expand their knowledge and skills in coding for personal or professional growth. NCFE LEVEL 3 CERTIFICATE IN CODING PRACTICES Requirements No experience required. Just enrol & start learning. Career path Our program paves the way for a successful career in coding. From beginner to professional, you'll gain essential skills, receive personalised mentoring, build a standout CV, and access exclusive job opportunities. Let us guide you towards a fulfilling and lucrative path in the ever-expanding tech industry. 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
5 QLS Endorsed Course With Certificates | 5-in-1 Bundle | CPD Accredited | Career Guided Program | Lifetime Access
Be prepared for the upcoming Hiring Season by enhancing your professional skillsets with Apex Learning! Get Hard Copy + PDF Certificate + Transcript + Student ID Card as a Gift - Enrol Now Tired of browsing and searching for the BIM course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this 14-in-1 extensive BIM bundle that has everything you need to succeed in BIM and other relevant fields! After surveying thousands of learners just like you and considering their valuable feedback, this all in one BIM bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand BIM course that will enhance your skills and prepare you for the competitive job market. 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After successfully completing the BIM bundle course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) BIM Bundle Course Curriculum: Course 01: Diploma in Construction Management Introduction to Construction Management Project Life Cycle and Success Cost Management Preliminary Site Investigation and Site Organisation Site Management Planning and Management of Equipment Construction Materials Management Vendor Analysis in Construction Management Construction Procurement Stock Control Supply Chain Management The Main Participators Course 02: Architectural Studies Introduction to Architectural Studies Ancient Architecture Architectural Ideas and Movements Architectural Styles Art Deco Architectural Style Scandinavian Architectural Style Victorian Architectural Style Classical and Early Christian Architectural Style Gothic Architectural Style Baroque and Rococo Architectural Style Eclecticism Architectural Style Modern and Post-Modern Architectural Style Course 03: Quantity Surveyor Diploma Quantity Survey An Introduction Development of the Quantity Surveyor Quantity Surveying Measurement Cost Management Pricing and Operational Estimation Contract Management and Tendering Report Writing Course 04: Building Surveyor Building Survey: An Introduction Building Law Principles Building Procurement and Contract Administration Building Information Modelling Building Technology The Procedure of Building Survey and Surveys of Historic Buildings Course 05: Land Surveying Introduction to Land Surveying Land Surveying Basics Land Surveying Instrumentation Land Surveying Methods and Techniques Course 06: Construction Cost Estimation Diploma Introduction to Construction Management Cost Estimation Role of Cost Estimator and New Aspects of Cost Estimation Elements and Factors influencing Cost Estimation Course 07: Construction Cost Estimation Using Xactimate Introduction to Xactimate Foundation Cost Estimation on Xactimate Wood-frame Structure Cost Estimation on Xactimate Plumbing, Electricity and HVAC Cost Estimation on Xactimate Course 08: Construction Estimation using RSMeans Introduction Quantity Take Off Cost Estimation using RSMeans Course 09: WELL Building Standard Introduction Air Water Nourishment Light Fitness Comfort Mind Course 10: Construction Industry Scheme (CIS) Construction Industry Scheme (CIS) Coverage of the Scheme Contractors and Registration for the Scheme Verification Process The CIS Returns Course 11: LEED V4: Building Design and Construction Introduction Integrative Process Location & Transportation Sustainable Sites Water Efficiency Energy & Atmosphere Course 12: Property Law and Legislation Introduction to Property Law Land Law Principles- Rights and Interests Registered and Unregistered Land Ownership and Possession of the Property Course 13: Construction Safety Managing Health and Safety Risk Assessment and Common Risks Health and Safety Guidelines and Legislations Reporting Accidents at Work General Site Issues CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this BIM Training bundle. Requirements This BIM Training course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Diploma in Construction Management) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Diploma in Construction Management) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.