11876 Courses

Unveil the intricacies of corporate resilience with our 'Corporate Risk and Crisis Management' course. This well-structured programme, spanning nine insightful modules, introduces participants to the comprehensive world of risk and crisis management within the corporate sector. The course begins with a foundational understanding of various risks and the methodology of risk analysis, ensuring a robust base for advanced learning. Progressing through the curriculum, learners delve into the specific processes of risk analysis and management, focusing on the critical role it plays in corporate strategy. Furthermore, the course addresses the challenges of managing financial risks, an essential aspect for any business. The latter modules shift focus to crisis management, encompassing crisis response, communication strategies, incident management, and the formation and function of a crisis management team. Completing this journey, participants gain valuable insights into the post-crisis phase, crucial for long-term resilience and recovery. Learning Outcomes Comprehend the fundamentals of risks and risk analysis in a corporate context. Acquire skills in the process of risk analysis and management. Understand the nuances of managing financial risks in business operations. Develop effective crisis response and communication strategies. Learn to manage incidents and create efficient emergency response plans. Why choose this Corporate Risk And Crisis Management course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Corporate Risk And Crisis Management course for? Corporate executives and managers looking to enhance their risk management capabilities. Professionals in finance, operations, and strategic planning seeking to deepen their understanding of corporate risks. Risk management consultants aiming to broaden their expertise. Emergency response coordinators and crisis communication specialists. Students and academics interested in the fields of risk and crisis management. Career path Risk Manager: £35,000 - £70,000 Financial Analyst: £30,000 - £60,000 Crisis Management Consultant: £40,000 - £80,000 Emergency Response Coordinator: £25,000 - £50,000 Corporate Communications Specialist: £28,000 - £55,000 Business Continuity Planner: £30,000 - £65,000 Prerequisites This Corporate Risk And Crisis Management does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Risks and Risk Analysis Introduction to Risks and Risk Analysis 00:31:00 Module 02: Process of Risk Analysis and Management The Process of Risk Analysis and Management 00:29:00 Module 03: Corporate of Risk Management Corporate Risk Management 00:34:00 Module 04: Managing Financial Risks Managing Financial Risks 00:54:00 Module 05: Introduction to Crisis and Crisis Management Introduction to Crisis and Crisis Management 00:37:00 Module 06: Crisis Response and Communication Crisis Response and Communication 00:37:00 Module 07: Incidents Management and Emergency Response Plan Incidents Management and Emergency Response Plan 00:51:00 Module 08: Crisis Management Team Crisis Management Team 01:02:00 Module 09: Post Crisis Phase Post Crisis Phase 00:28:00 Assignment Assignment - Corporate Risk And Crisis Management 00:00:00

This course takes you from a beginner to an expert level in Ansible and also prepares you for the Red Hat Certification exam. You'll become well-versed with Ubuntu, CentOS, and a little aware of Raspberry PI to manage Linux's multiple distributions using Ansible.

The Customer Support Engineer Apprentice Course is designed to develop essential skills for anyone aiming to excel in customer service and technical support roles. This course offers a thorough introduction to effective telephone communication, covering everything from phone etiquette and managing calls to building rapport and handling challenging conversations. Learners will also gain insight into key business practices such as mail services, invoicing, and record keeping, ensuring they understand the operational side of customer support within an organisation. Alongside technical communication, the course focuses on critical organisational and planning skills to improve efficiency and customer satisfaction. With modules dedicated to business writing, customer relationship management, and scheduling, learners will be well-prepared to handle a variety of customer interactions and administrative tasks confidently. Whether dealing with inbound or outbound enquiries, this course provides a solid foundation for those looking to enhance their professional communication and support capabilities in a remote learning format. Key Benefits Accredited by CPD Instant e-certificate Fully online, interactive course Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Curriculum Module 01: Managing Interoffice Calls and Voicemail Module 02: Aspects of Phone Etiquette Module 03: Business Telephone Skills Module 04: Building Rapport Over the Phone Module 05: Inbound and Outbound Calls Module 06: Active Listening and Managing Tough Callers Module 07: Mail Services and Shipping Module 08: Intra Organisation Dealings Module 09: Problem Solving over the Phone Module 10: Record Keeping and Filing Systems Module 11: Business Writing Skills Module 12: Organisational Skills Module 13: Communication Skills Module 14: Customer Relationship Management Module 15: Effective Planning and Scheduling Module 16: Invoicing/Petty Cash Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Certificate Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Customer Support Engineer Apprentice training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Customer Support Engineer Apprentice training. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included

The Diploma in Risk Assessment & Management (CPD Accredited) course is vital in today's complex and interconnected world. Understanding and mastering Risk Assessment and Risk Management is crucial for both personal and professional growth. This course covers essential topics like Risk Analysis, Workplace Risk Assessment, and Enterprise Risk Management, ensuring a comprehensive grasp of managing diverse risks. By learning these skills, individuals enhance their ability to foresee, evaluate, and mitigate potential risks, which is invaluable in any career. In the UK, proficiency in Risk Management significantly boosts job prospects, with roles in this sector offering competitive salaries, typically ranging from £35,000 to £60,000 annually. The demand for Risk Management professionals is growing, with the sector projected to increase by approximately 7% annually. The ability to manage financial, technological, and enterprise risks is highly sought after, making this course a strategic investment. The advantages of this diploma are numerous, including improved decision-making skills, enhanced job security, and greater career advancement opportunities, reflecting the increasing importance of Risk Assessment and Risk Management in the modern workplace. Key Features: CPD Certified Risk Assessment & Management Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum Module 01: Risk and Types of Risk Module 02: The Risk Evaluation Process Module 03: Risk Analysis & Assessment Module 04: Risk Assessment at Workplace Module 05: Introduction to Risk Management Module 06: Risk Management Process Module 07: Benefits of Risk Management Module 08: Enterprise Risk Management Module 09: Managing Financial Risks Module 10: Managing Technology Risks Learning Outcomes: Understand various types of risk, enhancing risk identification skills. Master the risk evaluation process for informed decision-making strategies. Conduct comprehensive risk analysis and assessments with precision and expertise. Apply risk assessment techniques effectively within the workplace environment. Develop a robust foundation in risk management processes and methodologies. Explore enterprise and financial risk management, including technology risk nuances. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Risk Assessment & Management course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Risk Assessment & Management. Moreover, this course is ideal for: Professionals seeking advanced risk assessment and management skills. Executives aiming to enhance strategic decision-making through risk proficiency. Analysts and managers involved in risk evaluation across diverse sectors. Risk consultants aspiring to sharpen their expertise in risk analysis. Individuals pursuing a comprehensive understanding of enterprise and financial risk. Requirements There are no requirements needed to enrol into this Risk Assessment & Management course. We welcome individuals from all backgrounds and levels of experience to enrol into this Anatomy and Physiology course. Career path After finishing this Risk Assessment & Management course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Risk Assessment & Management are: Risk Manager - £45K to £70K/year Health and Safety Officer - £28K to £45K/year Financial Risk Analyst - £35K to £60K/year Technology Risk Consultant - £40K to £75K/year Enterprise Risk Manager - £50K to £85K/year Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Embark on a journey to become a workplace hero with our comprehensive one-day Pediatric First Aid course. This dynamic and engaging training program is designed to equip you with the essential skills and knowledge needed to handle emergency situations confidently and effectively.

You will explore the various exchange rate systems used by governments around the world, and gain an understanding of the complexities of managing currency fluctuations in today's global economy. Through rigorous analysis, you will gain a critical perspective on different currencies' derivatives and currency exchange rate forecasting techniques. With this comprehensive knowledge, you will be well equipped to navigate the complex world of international currency exchange rates and gain the skills needed to succeed in this exciting field. After the successful completion of the course, you will be able to learn about the following, Explain how the exchange rate moves, how it is measured, and how equilibrium is determined. Describe the exchange rate systems used by various governments. Explain different currencies' derivatives. To elaborate currency exchange rate forecasting techniques. You will explore the various exchange rate systems used by governments around the world, and gain an understanding of the complexities of managing currency fluctuations in today's global economy. Through rigorous analysis, you will gain a critical perspective on different currencies' derivatives and currency exchange rate forecasting techniques. With this comprehensive knowledge, you will be well equipped to navigate the complex world of international currency exchange rates and gain the skills needed to succeed in this exciting field. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding Exchange Rate System Self-paced pre-recorded learning content on this topic. Understanding Exchange Rate System Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Finance professionals Business students International trade specialists Economists Government officials and policymakers Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

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

Level 2, 3 & 4 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access

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

Limited Time Offer | Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift | CPD QS Certified | 115 CPD Points | Lifetime Access