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Imagine achieving your financial dreams with the help of investment banking. Whether you're an ambitious professional or an aspiring entrepreneur, let the world of investment banking propel you towards your goals. Join us on this transformative journey and unlock a world of opportunities. Enrol today! Learning Outcomes: Understand the fundamentals of investment banking. Identify the structure and functions of investment banking. Apply various valuation methods in investment banking. Analyse leveraged buyout (LBO) transactions. Evaluate the process of initial public offerings (IPOs). Examine mergers and acquisitions in investment banking. Why would you choose Compliance Central: Lifetime access to Investment Banking course materials Full tutor support is available from Monday to Friday with the Investment Banking course Learn Investment Banking skills at your own pace from the comfort of your home Gain a complete understanding of Investment Banking course Accessible, informative Investment Banking learning modules designed by expert instructors Get 24/7 help or advice from our email and live chat teams with the Investment Banking bundle Study Investment Banking in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Investment Banking Course Improve your chance of gaining in demand skills and better earning potential by completing the Investment Banking Curriculum Breakdown of the Investment Banking Course Module 01: Introduction to Investment Banking Module 02: Structure and Side of Investment Banking Module 03: Valuation Methods in Investment Banking Module 04: Leveraged Buyout (LBO) Module 05: Initial Public Offering (IPO) Module 06: Merger and Acquisition Module 07: Ethics in Investment Banking CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Finance professionals, graduates, and students Entrepreneurs and business owners Professionals seeking career transition Individuals interested in investment banking operations Those aiming to raise capital through investment banking Students pursuing finance or related degrees Individuals looking to enhance their knowledge of investment banking Those intrigued by the ethical aspects of investment banking Requirements To enrol in this Investment Banking course, all you need is a basic understanding of the English Language and an internet connection. Career path The Investment Banking course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Investment Banking. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Anger Management: Anger Management Course Online Do you consistently seek to increase your knowledge and abilities by taking classes? This Anger Management: Anger Management Course education is ideal for you. You will gain a step-by-step understanding of how to control your anger via this Anger Management: Anger Management Course. You will learn more effective strategies to control your rage in this anger management training. You can control your rage with Anger Management: Anger Management Course. You will learn how to recognize the factors that make you furious from anger management. You will learn how to make an individualized plan for addressing those triggers through Anger Management: Anger Management Course. Participate in this Anger Management: Anger Management Course if you want to have a stress-free, joyful life and achieve professional success. Special Offers of this Anger Management: Anger Management Course This Anger Management: Anger Management Course includes a FREE PDF Certificate. Lifetime access to this Anger Management: Anger Management Course Instant access to this Anger Management: Anger Management Course Get FREE Tutor Support from Monday to Friday in this Anger Management: Anger Management Course Courses are included in this Anger Management: Anger Management Bundle Course Course 01: Anger Management Course 02: Workplace Stress Management Course 03: Level 2 Certificate in Business Management Course 04: Level 7 Diploma in Operations Management Course 05: Level 2 Certificate in Hospitality Management Course Course 06: Healthcare Management Training Course 07: Facilities Management Diploma Others Benefits of This Anger Management: Anger Management CourseBundle Free 7 PDF Certificate Lifetime Access Free Retake Exam Tutor Support [ Note: Free PDF certificate as soon as completing the Anger Management: Anger Management Course] Anger Management: Anger Management Course Online Industry Experts Designed this Anger Management: Anger Management Course into 04 detailed modules. Course Curriculum of Anger Management Course Module 01: Introduction to Anger Module 02: The Process in Anger Module 03: Effect of Anger on Our Thinking Module 04: How to Manage Anger Assessment Method of Anger Management Course After completing each module of the Anger Management: Anger Management Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification of Anger Management Course After completing the MCQ/Assignment assessment for this Anger Management: Anger Management Course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Anger Management: Anger Management Course Online The Anger Management: Anger Management Course is designed to teach individuals and working professionals how to control their anger in personal and professional life. Requirements Anger Management: Anger Management Course Online Students who intend to enrol in this Anger Management: Anger Management Course must meet the following requirements: Anger Management: Good command of the English language. Anger Management: Must be vivacious and self-driven Anger Management: Basic computer knowledge. Anger Management: A minimum of 16 years of age is required Career path Anger Management: Anger Management Course Online After completing this Anger Management: Anger Management Course, you will be able to confidently understand specific knowledge and skills in order to improve and enhance your skills for your career in the relevant employment sector. Certificates Certificate of completion Digital certificate - Included

Overview Learn about Medical Coding Inpatient Training: DRG-PCS from industry experts and boost your professional skill. This Medical Coding Inpatient Training: DRG-PCS course will enhance your skill and make you ready for the job market. You'll get expert opinions about the best practices and problems of Medical Coding Inpatient Training: DRG-PCS. You'll also gain the skills of Medical Coding Inpatient Training: DRG-PCS to excel in your job and tips to master professional skills in no time.  You'll be connected with the community of Medical Coding Inpatient Training: DRG-PCS professionals and gain first-hand experience of Medical Coding Inpatient Training: DRG-PCS problem-solving. The Medical Coding Inpatient Training: DRG-PCS is self-paced. You can complete your course and submit the written assignment in your suitable schedule. After completing the Medical Coding Inpatient Training: DRG-PCS, you'll be provided with a CPD accredited certificate which will boost your CV and help you get your dream job.  This Medical Coding Inpatient Training: DRG-PCS will provide you with the latest information and updates of Medical Coding Inpatient Training: DRG-PCS. It will keep you one step ahead of others and increase your chances of growth. Why buy this Medical Coding Inpatient Training: DRG-PCS? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Medical Coding Inpatient Training: DRG-PCS there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Medical Coding Inpatient Training: DRG-PCS course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Medical Coding Inpatient Training: DRG-PCS does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Medical Coding Inpatient Training: DRG-PCS 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Medical Coding Inpatient Training: DRG-PCS is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Unit 01: PCS Introduction What is PCS? 00:08:00 PCS Reasons and Modifications 00:07:00 PCS step by step 00:10:00 Quick UNLEARNING before learning IP DRG 00:03:00 Quick Learning 00:06:00 Unit 02: Section Relates to Type of Procedure Character 1 Section Relates to Type of Procedure 00:10:00 Unit 03: Body System Refers to General Body System Character 2 Body System Refers to General Body System 00:10:00 Unit 04: Root Operation Part-1 Root Operations Introduction 00:06:00 ALTERATION 00:03:00 BYPASS 00:03:00 CHANGE 00:03:00 CONTROL 00:02:00 CREATION 00:02:00 DESTRUCTION 00:02:00 DETACHMENT 00:02:00 DILATION 00:03:00 DIVISION 00:01:00 Unit 05: Root Operation Part-2 DRAINAGE 00:02:00 EXCISION 00:03:00 EXTIRPATION 00:01:00 EXTRACTION 00:02:00 FRAGMENTATION 00:01:00 FUSION 00:03:00 INSERTION 00:02:00 INSPECTION 00:02:00 MAP 00:01:00 OCCLUSION 00:01:00 REATTACHMENT 00:02:00 Unit 06: Root Operation Part-3 RELEASE 00:02:00 REMOVAL 00:01:00 REPAIR 00:00:00 REPLACEMENT 00:00:00 REPOSITION 00:02:00 RESECTION 00:02:00 RESTRICTION 00:01:00 REVISION 00:02:00 SUPPLEMENT 00:02:00 TRANSFER 00:01:00 TRANSPLANTATION 00:03:00 Unit 07: Body Part Character 4 Body Part 00:04:00 Unit 08: Approach Open 00:02:00 Percutaneous 00:02:00 Percutaneous Endoscopic 00:02:00 Via Natural or Artificial Opening 00:01:00 Via Natural or Artificial Opening Endoscopic 00:01:00 Via Natural or Artificial Opening with percutaneous endoscopic assistance 00:02:00 External 00:02:00 Unit 09: Device Character 6 Device 00:04:00 Unit 10: Qualifier Character 7 Qualifier 00:02:00 Unit 11: Other PCS Root Operations Obstetrics 00:04:00 Placement 00:04:00 Measurements and Monitoring 00:02:00 Extracorporeal Assistance and Performance 00:04:00 Extracorporeal Therapies 00:03:00 Osteopathic, Other Procedures & Chiropractic 00:04:00 Unit 12: Conclusion 3T Technique 00:02:00 IP DRG PCS 00:01:00 Assignment Assignment - Medical Coding Inpatient Training: DRG-PCS 00:00:00

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Microsoft Excel is more than just rows and columns — it's a powerhouse for professionals who know how to make it work for them. This course zeroes in on four of Excel’s most essential lookup functions: VLOOKUP, XLOOKUP, MATCH, and INDEX. Whether you're reconciling data, building dynamic reports, or navigating large spreadsheets, these tools save time, reduce errors, and make you look like you actually enjoy spreadsheets — even if you don’t. You'll learn how each function behaves, when to use one over the other, and how to string them together to achieve powerful results. The course is designed for learners who want to use Excel efficiently, without getting buried in formulas that behave like they’ve had too much coffee. With clear explanations, useful examples, and a touch of logic that even your sleep-deprived Monday brain can follow, this course gets straight to the point. If you've ever stared at a dataset wondering where to begin, you're in the right place — no fluff, just formulas that do the heavy lifting. Learning Outcomes: Utilise Vlookup and Xlookup to retrieve data efficiently Understand how to use Match and Index functions Learn to compare and match large data sets Automate data processing and analysis Improve data accuracy and reliability Increase productivity and save time on manual calculations Course Curriculum: 1.1 Excel vlookup 1.2 Excel xlookup 1.3 Excel vlookup 1.4 Excel vlookup 1.5 Excel vlookup 1.6 Excel vlookup 1.7 Excel vlookup How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Data Analyst (£26,000 - £45,000) Financial Analyst (£25,000 - £50,000) Business Analyst (£26,000 - £52,000) Accountant (£22,000 - £48,000) Operations Manager (£24,000 - £61,000) Project Manager (£29,000 - £65,000) Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

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.

Are you passionate about food and dreaming of starting your own takeaway kitchen business? Our comprehensive course, Takeaway Kitchen Business Fundamentals, is designed to equip you with the knowledge and skills to turn your culinary dreams into a thriving reality. Dive into the essentials of running a successful takeaway kitchen, from initial setup to creating an exceptional customer experience. Key Features: CPD Certified Developed by Specialist Lifetime Access The "Takeaway Kitchen Business Fundamentals" course provides a comprehensive guide to starting and running a successful takeaway business. Learners will begin by understanding the basics of launching their own takeaway, including essential steps and considerations. They'll explore the importance of having an online presence and learn how to create an effective online ordering system to attract more customers. The course covers how to restructure management for better efficiency and productivity. Students will gain knowledge about the legal requirements necessary for operating a takeaway business and how to comply with health and safety regulations, especially concerning infectious diseases. Additionally, the course offers strategies to enhance the overall customer experience, ensuring repeat business and positive reviews. By the end of this course, learners will have the skills and knowledge needed to establish and manage a successful takeaway kitchen. Course Curriculum Module 01: Introduction to the course Module 02: Starting a Takeaway Business Module 03: Going Online Module 04: Creating an Online Ordering System Module 05: Restructuring Management Module 06: Legal Requirements Module 07: Complying with Infectious Disease Awareness Guidance Module 08: Enhancing Takeaway Experience Learning Outcomes: Understand the basics of starting a takeaway kitchen business. Learn how to take your takeaway business online. Develop an effective online ordering system for your takeaway. Gain insights into restructuring management for better efficiency. Understand legal requirements for running a takeaway business. Learn to comply with infectious disease awareness guidelines. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring takeaway business owners. Current takeaway managers looking to improve operations. Entrepreneurs interested in the food industry. Small business owners wanting to expand services online. Individuals seeking to understand takeaway business management. Career path Takeaway Business Owner Online Ordering System Manager Takeaway Kitchen Manager Food Industry Entrepreneur Small Business Consultant Food Safety Compliance Officer Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Dive into the essentials of KYC with this comprehensive course. Covering critical aspects such as AML (Anti-Money Laundering), Customer Due Diligence, and UK-specific regulations, this program equips you with the knowledge to navigate industry requirements. Explore methods for executing KYC and AML processes, ensuring compliance, and understanding future trends. Ideal for professionals aiming to enhance their regulatory expertise and safeguard their business operations. Key Features: CPD Certified Developed by Specialist Lifetime Access In this course, learners will understand the basics of Know Your Customer (KYC) and why it's important for businesses. They will learn about Anti-Money Laundering (AML) practices to prevent illegal money activities. The course will teach how to check and verify customer identities through Customer Due Diligence. Learners will explore the specific rules and regulations for KYC, AML, and data privacy in the UK, and understand the requirements industries must follow to comply with these laws. Additionally, the course covers practical methods for conducting KYC and AML checks, and looks at future trends in KYC compliance. By the end of the course, learners will be equipped with the knowledge to help their businesses meet legal standards and protect against financial crimes. Course Curriculum: Module 01: Introduction to KYC. Module 02: AML (Anti-Money Laundering). Module 03: Customer Due Diligence. Module 04: UK Business Regulations: KYC, AML, Data Privacy. Module 05: Regulations to Be Compiled by Industries. Module 06: KYC and AML Methods: Future Compliance Insights. Learning Outcomes: Understand the principles of KYC and its importance in finance. Identify key components of AML regulations and their application. Conduct effective customer due diligence processes according to regulatory standards. Analyse UK-specific KYC, AML, and data privacy laws for compliance. Assess regulatory requirements across various industries for KYC implementation. Explore emerging methods in KYC and AML and their future implications. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Financial analysts seeking regulatory compliance knowledge. Compliance officers in banking and financial sectors. Business managers need understanding of KYC and AML practices. Legal professionals advising on financial regulations. Consultants working with financial institutions on regulatory issues. Career path Compliance Analyst Risk Manager Financial Investigator Regulatory Consultant Fraud Prevention Specialist Anti-Money Laundering Officer Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.