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Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Advanced Vedic Mathematics - Mental Mathematics Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The Advanced Vedic Mathematics - Mental Mathematics Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Advanced Vedic Mathematics - Mental Mathematics Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Advanced Vedic Mathematics - Mental Mathematics Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Advanced Vedic Mathematics - Mental Mathematics ? Lifetime access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance 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 Advanced Vedic Mathematics - Mental Mathematics 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Advanced Vedic Mathematics - Mental Mathematics course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already work in relevant fields and want to polish their knowledge and skills. Prerequisites This Advanced Vedic Mathematics - Mental Mathematics does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Advanced Vedic Mathematics - Mental Mathematics was made by professionals and it is compatible with all PCs, Macs, 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 a bonus, you will be able to pursue multiple occupations. This Advanced Vedic Mathematics - Mental Mathematics is a great way for you to gain multiple skills from the comfort of your home. Section 01: Introduction Module 01: Introduction 00:02:00 Module 02: Important Instructions 00:01:00 Section 02: Division of Polynomials Module 01: Refresh your Algebra! 00:08:00 Module 02: Dividing a polynomial by another without actually dividing Part 1 00:14:00 Module 03: Dividing a polynomial by another without actually dividing Part 2 00:06:00 Module 04: Dividing a polynomial by another without actually dividing Part 3 00:10:00 Section 03: Highest Common Factor of polynomials in few seconds Module 01: Finding H.C.F by addition & Subtraction technique -1 00:11:00 Module 02: Finding H.C.F by addition & Subtraction technique -2 00:12:00 Section 04: Multiplication of Polynomials Module 01: Product of two Binomial expressions using vertically & Crosswise 00:12:00 Module 02: Product of two Trinomial expressions using vertically & Crosswise 00:09:00 Section 05: Factorization Module 01: Factorization of Simple Quadratics 1 00:11:00 Module 02: Factorization of Simple Quadratics 2 00:12:00 Module 03: Factorization of Homogeneous Expressions of the second degree 00:13:00 Module 04: Factorization of Cubic's 1 00:08:00 Module 05: Factorization of Cubic's 2 00:05:00 Section 06: Solving Quadratic equations without pen and paper Module 01: Solution of Quadratics using calculus 00:13:00 Module 02: Solution of First Special Type Quadratics 00:10:00 Module 03: Solution of second Special Type Quadratics 00:04:00 Module 04: Solution of Third Special Type Quadratics 00:04:00 Module 05: Solution of Quadratics using factorisation 00:06:00 Section 07: Simultaneous Linear Equations Module 01: Simultaneous Equations Type 1 00:12:00 Module 02: Simultaneous Equations Type 2 00:09:00 Module 03: Simultaneous Equations Type 3 00:04:00 Module 04: Simultaneous Equations Type 4 00:06:00 Section 08: Simple Equations (First Principles) Module 01: Simple Equations Type 1 00:05:00 Module 02: Simple Equations Type 2 00:07:00 Module 03: Simple Equations Type 3 00:04:00 Section 09: Simple Equations using Sunyam Samyasamuccaya Technique Module 01: Simple Equations Type 1 00:03:00 Module 02: Simple Equations Type 2 00:05:00 Module 03: Simple Equations Type 3 00:05:00 Module 04: Simple Equations Type 4 00:06:00 Module 05: Simple Equations Type 5 00:06:00 Module 06: Simple Equations Type 6 00:07:00 Module 07: Simple Equations Type 7 00:13:00 Module 08: Simple Equations Type 8 00:05:00 Module 09: Simple Equations Type 9 00:04:00 Section 10: Wrap up (Downloadable Resources) Module 10: Wrap up (Downloadable Resources)

About Course Course Description: This course is designed to teach you the fundamentals of current electricity and DC circuits, as well as how to use Thinkercad to simulate circuits. It is perfect for students of electrical, electronics, instrumentation, biomedical, and robotic engineering, as well as anyone who is curious to learn more about electronics. In Part 1, you will learn: The difference between conductors and insulators What current is and how to measure it What a resistor is and how to find its value What voltage is What power is and how to calculate it The difference between AC and DC circuits Ohm's law with experiment Series and parallel circuits with numerical examples In Part 2, you will learn: What nodes, meshes, and loops are KVL and KCL rules Mesh analysis Supermesh analysis Nodal analysis Voltage and current divider rules Thevenin's law Norton's law You will also learn how to simulate circuits in Thinkercad. By the end of this course, you will have a solid understanding of current electricity and DC circuits, and you will be able to use Thinkercad to simulate circuits. Who this course is for: Students of electrical, electronics, instrumentation, biomedical, and robotic engineering Anyone who is curious to learn more about electronics Why take this course? Learn the fundamentals of current electricity and DC circuits in a clear and concise way Master the use of Thinkercad to simulate circuits Get a head start on your engineering studies or prepare for a career in electronics Enroll today and start your journey to becoming an expert in current electricity and DC circuits! What Will You Learn? In part 1 you will learn some basic concepts of current electricity like current, voltage, resistor, etc along with introduction to Thinkercad software. In part 2 you will learn different techniques to solve complex circuits along with simulation of that circuits on the thinkercad software Network Theory concepts (Mesh, super-mesh, Nodal analysis, Voltage and current divider techniques, Thevenin's and Norton's theorem) Simulation of different circuits on Thinkercad software You will learn to operate voltmeter, ammeter and multimeter You will learn how to measure voltage and current of any circuit and resistance of any resistor You will learn how to generate different ac signals like Sine wave, Square wave and Triangular wave You will be able to convert any complex circuit into it's simple form Course Content Introduction Courses Overview Current Electricity Difference Between Conductors, Insulators and Semiconductors What is a Current What is a Resistor What is a Voltage What is a Power Difference Between AC and DC Circuits Introduction to Thinkercad Software Thinkercad Software Understanding Different AC Signal, DC Offset Voltage and Concept of Frequency Understanding the Concept of Time and Frequency in Depth on Thinkercad Software Ohms Law Introduction to Ohms Law Experimental Analysis of Ohm's law (Experiment - 1) Experimental Analysis of Ohms Law (Experiment - 2) Ohms Law Conclusion Series and Parallel Circuits Introduction to Series and Parallel Circuits Basic Numerical on Deries and Parallel Circuits Numerical on the Combination of Series Parallel Circuits Complex Numerical on Series Parallel Circuit Electrical Circuits Concept of Nodes, Meshes and Loops KVL and KCL Introduction to Kirchoff's Voltage Law Introduction to Kirchoff's Current Law Basic Numericals on KVL and KCL Mesh Analysis Understanding Mesh Analysis Solving Circuit with Two Meshes in a Loop Using Mesh Analysis Simulation of the Above Circuit Solving Circuit with Three Meshes in a Loop Using Mesh Analysis Simulation of the Above Circuit Shortcut Trick to Solve Mesh Analysis Supermesh Analysis Basics of Supermesh Example of Supermesh Supermesh Numerical Nodal Analysis Understanding Definition and Basic Concept of Nodal Analysis Nodal Analysis Example Numerical on Nodal Analysis Simulation of Nodal Analysis Circuit (Part-1) Simulation of Nodal Analysis (Part -2) Voltage Divider Technique Introduction to Voltage Divider Technique Numerical on Voltage Divider Technique Example of Voltage Divider Technique Current Divider Technique Introduction to Current Divider Technique Numerical on Current Divider Rule Thevenin's Theorem Introduction to Thevenin's Theorem Numerical on Thevenin's Theorem Norton's Theorem Introduction to Norton's Therom Numerical on Norton's Theorem A course by Practical Buddy Biomedical Engineer/ Teacher RequirementsBasic algebra for mathematical calculations or scientific calculatorPc or Laptop to simulate the circuits on the thinkercad softwareDecent connection of internet Audience Those who are curious to learn arduino Those who are curious to learn electronics Those who are curious to learn electric circuits Those who are curious to learn simulation software Anyone opting for electrical or electronics engineering Audience Those who are curious to learn arduino Those who are curious to learn electronics Those who are curious to learn electric circuits Those who are curious to learn simulation software Anyone opting for electrical or electronics engineering

Getting Started The course provides all the necessary information about making an excellent career in various business organizations. Ultimately, the learner should be much more confident with detailed knowledge about business management and the environment. The learner will get detailed information on the contents: business communication and environment, global business environment, business functions including people management, quantitative methods in business and more. The course also enables the learner to understand the core principles of business management. The learner also acquires skills in business administration. The course also provides knowledge regarding business strategies and business strategy formulation. Key Benefits The qualification will benefit learners to: Manage business communication activities. Understand the business environment and organisations in the context of global and multinational enterprises. Know the functions of a business, including people management. Know quantitative business methods. Understand finance for managers. Completing the OTHM Level 4 Diploma in Business Management allows learners to a wide range of academic progressions, including progression to relevant OTHM Level 5 Diplomas. The qualification is approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation). Key Highlights Wishing to move to a management career in your organisation with ease? Then, OTHM Level 4 Diploma in Business Management is the ideal starting point for your career journey. SBTL delivers a Level 4 Diploma in Business Management depicted by OTHM, a full member of FAB(Federation of Awarding Bodies) aims to provide learners with general knowledge with specialised orientation. 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 who would be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 4 Diploma in Business Management can open many career pathways including, but not limited to: Project Co-ordinator; with an estimated average salary of £28,229 per annum Financial Analyst; with an estimated average salary of £32,500 per annum Project Manager; with an estimated average salary of £34,450 per annum Business Analyst- Management Trainee; with an estimated average salary of £26,000 per annum Assistant Relationship Manager (Entry Level); with an estimated average salary of £30,000 per annum 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 SBTL Support Desk Portal. Access to our cutting-edge learning management platform where you will be able to access vital learning resources and communicate with support desk team. Quality learning materials such as structured lecture notes, study guides, practical applications including 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. Formative assessment feedback will be provided by the tutors to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through online learning platform. This facilitates SBTL in providing learners with course materials directly through smartphone, laptop, tablets or desktop offering students' opportunity to study as per their convenience. Live Classes (for Blended Learning Students only). Assessment The delivering Centre will internally assess all units. All of the units are assessed by coursework and this may include the production of portfolios, presentations, practical projects, and staff observations. None of the units requires you to sit a formal examination. Students will need to show that they meet each of the assessment criteria detailed within each unit, to the required standard for the level of the unit. Diploma Certificates will be awarded following assessment of the candidate's course works. A qualified tutor will examine the evidence and make a decision, which is verified by the external verifier and passed for certification. To be awarded the certificates, candidates must pass all the six units. Candidates need to achieve 40% mark in order to pass each unit. The achievement (pass) rates for this qualification are outstanding. Entry Requirements For entry onto the OTHM Level 4 Diploma in Business Management qualification, learners must possess: Relevant NQF/QCF/RQF Level 3 Award/Diploma, GCE/GCSE, or equivalent qualification. Mature learners (over 21) with management experience (learners must check with the delivery centre regarding this experience before registering for the programme). Learner must be 18 years or older at the beginning of the course. English requirements: Learner not from a majority English-speaking country must provide evidence of English language competency. For more information visit English Language Expectations page in this website. Progression Successful completion of Level 4 Diploma in Business Management enables the learners to pursue progressions including OTHM Level 5 Diploma in Business Management. As this qualification is approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation), learners are eligible for direct entry into Year 2 of a three-year UK Bachelor's degree programme. Why gain a OTHM Qualification? Industry-focused programmes which meet global standards. Programs reviewed by highly qualified experts in the relevant sector. Career enhancement through providing advanced knowledge and skills which meets the 21st-century employer needs. Availability of globally approved centres for enrolling in the desired program. Availability of flexible study options. The OTHM Level 4 Diploma in Business Management consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 480 Guided Learning Hours (GLH) for the completed qualification. 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- Research and Academic Writing Reference No : M/616/0694 Credit : 20 || TQT : 200 The unit enables learners to develop effective research plans, to evaluate different research methods, to use a high standard of academic writing, and to use independent learning techniques to support their self-development. UNIT2- Business Environment Reference No : M/616/2719 Credit : 20 || TQT : 200 Unit II aims to develop learners understanding of the dimensions of the business environment, including various business types and purpose. UNIT3- Introduction to Business Communication Reference No : H/616/2720 Credit : 20 || TQT : 200 Unit III enhances learners business communication skills and enable them to make a career in the business industry. Learners will be able to make persuasive presentations, Negotiate convincingly, write reports that address and/or solve strategic problems and more on. UNIT4- Introduction to Quantitative Methods Reference No : T/616/0695 Credit : 20 || TQT : 200 The aim of this unit is to review the basic concepts in mathematics, algebraic equations, graph construction, matrix algebra and probability that need to be understood by all business learners. The learner is expected to analyse and apply these concepts to a variety of mathematical problems encountered in business contexts. UNIT5- Introduction to Business Functions Reference No : K/616/2721 Credit : 20 || TQT : 200 This unit enables the learner in understanding different businesses types and external influences on organisations such as the comparative environmental framework. UNIT6- Introduction to Finance Reference No : M/616/2722 Credit : 20 || TQT : 200 The final unit helps to develop learners' understanding of the current regulations governing financial reporting. The unit also gives an idea about purpose and formats of financial statements for different users. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Getting Started OTHM Level 3 Foundation Diploma for Higher Education Studies aims for academic and professional development. It helps the learners acquire knowledge regarding the various courses the university provides. This qualification helps the learner to gain deep knowledge about current opportunities and scope of higher education. This qualification helps the learner to opt for the next level of higher education. The qualifications awarded by OTHM at RQF Level 3 represent practical knowledge, skills, capabilities and competencies that are assessed in academic terms as equivalent to GCE AS/A Levels. Key Benefits   Learners can acquire knowledge regarding the various courses offered by the university. This qualification helps the learner to opt for the next level of higher education. It provides a broad introduction to the subject's learner's choice and helps gain valuable academics. The core modules will allow the learners to understand the wider context of their chosen focus area. Learners who complete a foundation course are generally better placed to enter tertiary study and often do so with credits. Key Highlights Are you desirous to know about the scope and current opportunities to improve your skills and knowledge in higher Studies? Then, the OTHM Level 3 Foundation Diploma for Higher Education Studies is the ideal starting point for your career journey. 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, who would be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 3 Foundation Diploma for Higher Education Studies can open many career pathways including, but not limited to: Administrative Assistant, with an estimated average salary of £20,369 per annum Junior manager with an estimated average salary of £30,007 per annum Human resource coordinator, with an estimated average salary of £25,000per annum Customer service executive with an estimated average salary of £23,684 per annum Management trainees with an estimated average salary of £22,046 per annum   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. This 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 Learners must be 18 years or more International students whose first language is not in English, they will need to have score of 5.5 or above in IELTS Examination or equivalent. Progression   Learners completing the OTHM Level 3 Foundation Diploma for Higher Education Studies allow progress to : Wide range of undergraduate programmes, including OTHM Level 4 diplomas. 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 projects more effectively, giving 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 achieved with 13 - 36 credits The diploma is achieved with at least 37 credits. The OTHM Level 3 Foundation Diploma for Higher Education Studies consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 600 Guided Learning Hours (GLH) for the completed qualification. 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- Academic English and Study Skills Reference No : R/617/3714 Credit : 20 || TQT : 200 The aim of this unit is to help students develop competence in and awareness of academic English and study skills in in preparation for entry to an undergraduate degree programmes. UNIT2- Foundation Mathematics Reference No : Y/617/3715 Credit : 20 || TQT : 200 This unit aims to consolidate learners' knowledge of mathematics and to introduce more topics in the areas of statistical methods and linear algebra. As the business world embraces the use of bigger data in all areas of operation, the mathematical techniques taught in this module will be necessary to aid in the understanding of data, valuable in enhancing future employment prospects. UNIT3- Foundation Computing Reference No : D/617/3716 Credit : 20 || TQT : 200 This unit aims to provide an introduction to computing and the concepts of hardware and its uses. Learners will gain an understanding of data systems and data presentation, key aspects of computer networks and the importance of ethical and legal issues about computing UNIT4- Society and Culture Reference No : H/617/3717 Credit : 20 || TQT : 200 The aim of this unit is to provide students to a variety of contemporary issues related to society and culture, enabling learners to understand social and cultural literacy by developing their knowledge and understanding of societies and cultures UNIT5- Introduction to Business Reference No : K/617/3718 Credit : 20 || TQT : 200 This unit aims to provide learners with knowledge and understanding of how different forms of business ownership operate. It will cover how businesses are run in terms of their form of ownership, the impact of external factors on business success, understanding the different objectives businesses may have, and the key functional areas within a business that enable it to operate effectively. UNIT6- Foundation Accounting and Economics Reference No : M/617/3719 Credit : 20 || TQT : 200 The aim of this unit is to provide learners an introduction to the fundamentals of accounting and economics. Learners will gain an understanding of financial reports through their preparation, based on the double-entry bookkeeping system which is essential for the management of any organization. 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.

Thinking about learning more about Artificial Intelligence? The BCS Foundation Certificate in Artificial Intelligence is the advanced version of our Essentials Course Artificial Intelligence and includes more detail and insights about algebraic equations, vector calculus and schematics used in artificial intelligence and machine learning for you to learn how this new technology works.

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.

Description Math is one of the most essential skills in all aspects of our lives. However, it can be one of the most difficult for many of us to master. Learning math can be a daunting task when you do not have the right tools or the right materials, especially if you grew up believing that math is hard and that you will never understand it. The Mathematics for Beginners is designed to teach the elementary skills necessary to manipulate algebraic expressions and equations, and also places a strong emphasis on conceptual understanding. You will learn the connection between everyday life problems and the abstract world of mathematics. Using applied examples from a wide variety of topics ranging from finance to physics and life sciences, you will gain the ability to transform problems from a verbal description into the language of mathematics and solve them confidently by applying the rules of algebra. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Mathematics for Beginners is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Mathematics for Beginners is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Integers ( Directed Numbers) Lecture 1 Introduction 00:02:00 Lecture 2 Quick glance at number system 00:05:00 Lecture 3 Integers and ordering of integers 00:06:00 Lecture 4 Addition and Subtractions of Integers 00:07:00 Lecture 5 Operations on Integers 00:04:00 Lecture 6 Multiplication and Division of Integers 00:04:00 Lecture 7 Powers of Integers (Exponents) 00:04:00 Factors and Multiples Lecture 8 Complete knowledge about factors and multiples 00:06:00 Lecture 9 Divisibility tests for 2,3,4,5,6 00:07:00 Lecture 10 Divisibility rules 7,8,9,10,11 00:06:00 Lecture 11 Prime Factorization 00:06:00 Lecture 12 Highest Common Factor HCF 00:10:00 Lecture 13 Least Common Multiple LCM 00:16:00 Lecture 14 Relation between LCM and HCF 00:04:00 Fractions Lecture 15 Classification of Fractions 00:04:00 Lecture 16 Convert mixed to improper and improper to mixed fractions 00:03:00 Lecture 17 Equivalent Fractions 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:04:00 Lecture 20 Addition and subtraction OF fractions 00:08:00 Lecture 21 Multiplication and division of fractions 00:11:00 Lecture 22 Word problems on fractions 00:16:00 Simplification Rule : BODMAS Lecture 23 BODMAS and rules to remove brackets 00:03:00 Lecture 24 Simplify expressions using BODMAS rules 00:05:00 Lecture 25 Simplify expressions involving fractions using BODMAS 00:07:00 Decimal numbers Lecture 26 Decimal numbers in relation to fractions 00:08:00 Lecture 27 Like and unlike Decimals 00:05:00 Lecture 28 Ordering of Decimal numbers 00:10:00 Lecture 29 Addition and subtraction of Decimal 00:07:00 Lecture 30 Multiplication of Decimal 00:03:00 Lecture 31 Division of Decimal 00:05:00 Rational Numbers Lecture 32 Rational number 00:02:00 Lecture 33 Representation of Rational Numbers on Number line 00:04:00 Lecture 34 Determining which fraction is terminating or non terminating 00:05:00 Lecture 35 shortcut method of writing decimal expansion of fraction to decimal 00:08:00 Approximation Lecture 36 Rounding to whole number 00:06:00 Lecture 37 Rounding to required number of decimals (1 d.p. ) 00:05:00 Lecture 38 rounding to significant digits 00:07:00 Lecture 39 Practice question on three methods of approximation 00:05:00 Estimation and Scientific Notation or Standard form Lecture 40 Estimation 00:05:00 Lecture 41 Scientific Notation 00:07:00 Lecture 42 Operation on numbers when they are in scientific notation 00:06:00 Percentage Lecture 43 Percentage to fraction and fraction to percentage 00:06:00 Lecture 44 Percentage of a quantity and conversation to decimal 00:06:00 Lecture 45 Expressing one quantity as percentage of another quantity 00:06:00 Lecture 46 Finding increase decrease percent 00:05:00 Lecture 47 Uses of percentages-Word Problems 00:09:00 Ratio and Proportion Lecture 48 Ratio- How to express as simple ratio 00:09:00 Lecture 49 How to compare Ratios 00:04:00 Lecture 50 Word problems on finding ratios 00:07:00 Lecture 51To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:06:00 Lecture 54 Continued proportion 00:06:00 Unitary Method and its Applications Lecture 55 Direct Variation ( or proportion) 00:04:00 Lecture 56 Problems based on Direct proportion 00:10:00 Lecture 57 Inverse Variation ( or proportion) 00:10:00 Lecture 58 Multiple Ratios 00:10:00 Profit , Loss, discount and Tax Lecture 59 Basics - Profit and Loss 00:04:00 Lecture 60 More practice problems on Profit & Loss 00:06:00 Lecture 61 Selling price formula and Problems 00:04:00 Lecture 62 Cost price formula and Problems 00:03:00 Lecture 63 Higher problems on Profit and Loss 00:08:00 Lecture 64 Basics - Discount.mp4 00:05:00 Lecture 65 Practice problems on Discount 00:04:00 Lecture 66 Tax 00:06:00 Resources Resources - Mathematics for Beginners 00:00:00 Mock Exam Mock Exam - Mathematics for Beginners 00:20:00 Final Exam Final Exam - Mathematics for Beginners 00:20:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

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.

Description Do you want to know the fundamental concepts of bonds including notes payable, bond payable, and liabilities along with its record procedure? Are you looking for any course regarding this topic? If so, look at our Accounting Bonds and Liabilities Training course. It will assist you in understanding all you need to know about this field. The course introduces you to different types of bond and their features and how to issue bonds according to par value, premium, and discount for the journal entry. It teaches you how to calculate different confusing present value in various effective ways using value table, Microsoft Excel functions, and algebra and formula. The course will enable you to identify the reasons of fluctuation of price value, know amortization tables for accurate transactions on a note payable bond. It also teaches you how to create a liability section of the balance sheet, differentiates between capital lease and operating lease, and solve the problems stepping back and thinking about the whole accounting phases. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Accounting Bonds and Liabilities Training is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Accounting Bonds and Liabilities Training is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction Introduction 00:08:00 PDF - 10 Bond & Note Payable Introduction 00:01:00 10 Bonds & Notes Payable Introduction 00:10:00 Accounting Comic Break 00:01:00 Bonds - Market Rate vs Contract Rate 2 Bonds Market Rate vs Contract Rate 00:01:00 PDF - 20 Bonds Issued at Par 00:01:00 20 Bond Issued at Par 00:06:00 PDF - 25 Bond Market Price vs Contract Rate 00:01:00 Excel Download 00:01:00 Worksheet - 20 Bond Issued at Par 00:06:00 Excel Download 00:01:00 Bonds Issued at Premium 3 Bonds Issued at Premium 00:01:00 PDF - 50 Bond Issued at Premium 00:08:00 50 Bond Issued at Premium 00:07:00 Excel Download 00:01:00 Worksheet - 50 Bond Issue at Premium 00:09:00 PDF - 60 Amortization Premium & Recording Interest 00:01:00 60 Premium Amortization & Interest 00:13:00 Excel Download 00:01:00 Worksheet - 55 Bond Premium and Interest Journal Entry 00:16:00 10 Multiple Choice Question - Long Term Liabilities 00:07:00 Accounting Comic Break 00:01:00 Bonds Issued at Discount 4 Bonds Issued at Discount 00:01:00 PDF - 30 Bonds Issued at Discount 00:01:00 PDF - 40 Amortizing Discount & Recording Interest 00:01:00 40 Issue bond at a discount%2C calculate%2C and record interest 00:26:00 Excel Download 00:01:00 Worksheet - 30 Bond Issued at Discount 00:09:00 Excel Download 00:01:00 Worksheet - 35 Bond Discount & Interest 00:18:00 Excel Download 00:01:00 Worksheet - 1400.10 Record issuance of bond at a discount amortiz 00:16:00 Worksheet - 1400.20 Record issuance of bond at a discount amortiz 00:16:00 Worksheet - 1400.40 Record issuance of bond at a premium amortize 00:16:00 Worksheet - 1400.50 Record issuance of bond at a premium amort. 00:14:00 20 Multiple Choice Question - Long Term Liabilities 00:04:00 Accounting Comic Break 00:01:00 Present Value - Bond Price 5 Present Value Bond Price 00:03:00 PDF - 70 Bond Present Value Formula 00:14:00 Excel Download 00:01:00 Worksheet - 70 Bond Present Value Formula 00:15:00 PDF - 80 Bond Present Value Tables 00:01:00 80 Bond Present Value Tablesy 00:14:00 Excel Download 00:01:00 Worksheet - 80 Bond Present Value Tables 00:11:00 Excel Download 00:01:00 Worksheet - 90 Bond Present Value Excel 00:20:00 30 Multiple Choice Question - Long Term Liabilities 00:07:00 Accounting Comic Break 00:01:00 Bond Retirement 6 Bond Retirement 00:01:00 PDF - 100 Bond Retirement 00:01:00 100 Bond Retirement 00:09:00 Excel Download 00:01:00 Worksheet - 100 Bond Retirement 00:12:00 40 Multiple Choice Question - Long Term Liabilities 00:07:00 Accounting Comic Break 00:01:00 Notes Payable Introduction 7 Notes Payable Introduction 00:01:00 PDF - 110 Notes Payable Introduction 00:01:00 110 Notes Payable Introduction 00:05:00 PDF - 120 Installment Note Journal Entry 00:01:00 Excel Download 00:01:00 50 Multiple Choice Question - Long Term Liabilities 00:05:00 Accounting Comic Break 00:01:00 Amortization Schedule - Notes Payable 8 Amortization Schedule Notes Payable 00:01:00 PDF - 130 Notes Payable Amortization 00:01:00 130 Amortization Schedule 00:12:00 PDF - 140 Notes Payable Interest Payments 00:01:00 140 Notes Payable Payments Journal Entry 00:07:00 Excel Download 00:01:00 Worksheet - 130 Note Payable Amortization 00:15:00 Excel Download 00:01:00 Worksheet - 140 Note payable interest payments 00:10:00 60 Multiple Choice Question - Long Term Liabilities 00:06:00 Accounting Comic Break 00:01:00 Notes Payable Adjusting Entries 9 Notes Payable Adjusting Entries 00:01:00 PDF - 150 Adjusting Entry - Notes Payable 00:01:00 150 Notes Payable Adjusting Entry 00:10:00 Excel Download 00:01:00 Worksheet - 150 Note Payable Adjusting Entry 1 00:07:00 Excel Download 00:01:00 Worksheet - 160 Note Payable Adjusting Entry 2 00:06:00 70 Multiple Choice Question - Long Term Liabilities 00:07:00 Accounting Comic Break 00:01:00 Financial Statements - Long Term Liabilities 10 Financial Statements Long Term Liabilities 00:01:00 PDF - 170 Liabilities - Current vs Non Current 00:01:00 170 Notes Payable Current vs. Non Current 00:18:00 Excel Download 00:01:00 Worksheet - 170 FS St LT One Loan 1 TB Account 00:09:00 Excel Download 00:01:00 Worksheet - 180 FS St LT Loan 1 loan 2 TB Accounts 00:08:00 Excel Download 00:01:00 Worksheet - 190 FS ST LT 2 loans 1 TB account 00:08:00 Excel Download 00:01:00 Worksheet - 200 FS ST LT 2 Loans 1 ST 1 LT TB account 00:09:00 Excel Download 00:01:00 Worksheet - 210 FS ST LT 2 Loans 2 Loan Account TB 00:08:00 Excel Download 00:01:00 Worksheet - 220 FS 2 Loans 4 Accounts TB 00:11:00 80 Multiple Choice Question - Long Term Liabilities 00:07:00 Accounting Comic Break 00:01:00 Bond Characteristics and Types 11 Bond Characteristics and Types 00:01:00 PDF - 230 Bond types 00:01:00 230 Bond Characteristics 00:02:00 90 Multiple Choice Question - Long Term Liabilities 00:05:00 Short Calculation 00:08:00 Accounting Comic Break 00:01:00 Effective Method - Amortization Bond Discount & Premium 12 Effective Method Amortization Bond Discount & Premium 00:01:00 PDF - 230 Effective Interest Discount Amortization 00:01:00 235 Discount Amortization Effective Method 00:13:00 Excel Download 00:01:00 Worksheet - 230 Effective Interest Discount Amortization 00:17:00 Excel Download 00:01:00 Worksheet - 240 Effective Interest Premium Amortization 00:13:00 100 Multiple Choice Question - Long Term Liabilities 00:10:00 Leases - Operating vs. Capital 13 Leases Operating vs. Capital 00:01:00 PDF - 250 Leases 00:01:00 250 Leases Capital vs. Operating 00:12:00 Accounting Comic Break 00:01:00 Comprehensive Problem 14 Comprehensive Problem 00:01:00 Excel Download 00:01:00 1 Accounting%2C Financial - Comp Prob Service Co 1 Part 1 00:15:00 2 Accounting%2C Financial - Comp Prob Service Co 1 Part 2 00:15:00 3 Accounting%2C Financial - Comp Prob Service Co 1 Part 3 00:15:00 4 Accounting%2C Financial - Comp Prob Service Co 1 Part 4_2 00:22:00 6 Comp Prob Service Co 1 Adjusting Entries part 6 00:20:00 Definitions & Key Terms 15 Definitions & Key Terms 00:01:00 Annuity Definition - What is Annuity 00:05:00 Bond Definition - What is Bond 00:06:00 Book Value of Bonds - What is Book Value of Bonds 00:06:00 Carrying Value of Bonds Definition - What is Carrying Value 00:05:00 Lease Definition - What is a Lease 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Learn to develop a compelling competitive matrix with our expert-led course. Gain insights into analyzing competitors, identifying strengths and weaknesses, and crafting effective strategies to gain a competitive edge. Enroll now to sharpen your business acumen and drive success in your industry.