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Begin a transformative journey towards financial independence with 'Passive Income - An Ultimate Guide.' This course is a gateway to understanding how income can be earned with minimal ongoing effort. The initial section introduces the concept, providing a strong foundation for the comprehensive exploration that follows. As the course unfolds, you'll delve into the specifics of recurring income streams, uncovering how these can become reliable sources of earnings. The exploration deepens with an analysis of residual income, highlighting its role in long-term financial stability. You'll discover various types of both recurring and residual incomes, learning how each can be effectively harnessed in your quest for financial freedom. The course intricately weaves these concepts with the broader idea of passive income, offering strategic insights into building wealth. Culminating with a conclusion that brings together all these elements, this course is not just an educational endeavour; it's a roadmap to transforming your financial future. Learning Outcomes Understand the foundations of passive, recurring, and residual income. Identify various types of recurring and residual income sources. Analyse the relationship between different forms of passive income. Develop strategies for building wealth through passive income. Apply the principles learned to create a sustainable financial plan. Why choose this Passive Income - An Ultimate Guide course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Passive Income - An Ultimate Guide course for? Individuals seeking alternative income streams. Entrepreneurs exploring passive revenue options. Investors aiming to diversify their income. Professionals interested in financial independence. Students of finance and business looking to expand their knowledge. Career path Investment Advisor - £30,000 to £70,000 Financial Planner - £25,000 to £60,000 Real Estate Investor - £30,000 to £100,000+ E-commerce Business Owner - £20,000 to £100,000+ Stock Market Trader - £35,000 to £85,000 Affiliate Marketer - £20,000 to £50,000 Prerequisites This Passive Income - An Ultimate Guide does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Passive Income - An Ultimate Guide was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction 00:04:00 Section 02: What are Recurring Income Streams? What are Recurring Income Streams? 00:05:00 What Is the Recurring Revenue Model? 00:04:00 What Should You Sell to Make the Recurring Revenue Model Work? 00:05:00 The Importance of Recurring Revenue in a Thriving Business 00:03:00 Reasons Fortune 500 Companies Are Moving to Recurring Revenue Models 00:03:00 How Recurring Revenue Increases Business Value 00:06:00 Section 03: What is Residual Income? What is Residual Income? 00:04:00 What Is Residual Income And Why Do You Want It? 00:03:00 What is Residual Income & Why is it Important for Building Wealth? 00:04:00 Reasons Why Passive Income Is Important 00:04:00 How Does Residual Revenue Work? 00:04:00 Why Residual Income is Important for Financial Independence 00:05:00 Section 04: Types of Recurring Income Types of Recurring Income 00:04:00 Hard contracts 00:05:00 Auto renewal subscriptions 00:04:00 Build a Membership Program for Your Business 00:03:00 Become an Affiliate for Other Companies Products 00:03:00 Combine Online Membership and Physical Product Delivery 00:04:00 Section 05: Types of Residual Income Types of Residual Income 00:05:00 Consider Investing 00:04:00 Write a Book or E-Book 00:04:00 Build an Online Course 00:05:00 Create an App 00:04:00 Launch a Podcast 00:02:00 Section 06: Relationship between Recurring, Residual and Passive Income Relationship between Recurring, Residual and Passive Income 00:04:00 How They're Similar and also Different 00:04:00 What is Passive Income and Its Relationship to Passive and Residual Income? 00:04:00 Examples of Passive Income 00:04:00 The Truth about Active Income vs Passive Income 00:03:00 Active Income Becomes Passive Income 00:03:00 Section 07: Building Wealth Strategies Building Wealth Strategies 00:04:00 Effective Wealth Building Strategies Used by Personal Finance Pros 00:04:00 Develop a Wealthy Mindset 00:03:00 Strategies for Building Wealth 00:05:00 Strategies to Build Wealth Fast (That Your Financial Advisor Won't Tell You) 00:04:00 How to Begin to Build Wealth 00:04:00 Section 08: Conclusion Review 00:03:00 Assignment Assignment - Passive Income - An Ultimate Guide 00:00:00

Learn how to use Microsoft Project to create and resource robust project plans and how to maintain and track throughout the project lifecycle. Course overview Duration: 1 day (6.5 hours) Our Project Planning and Control course gives you the essential skills to use Microsoft Project to build, resource and monitor project schedules. It looks at initial setup, building plans, using a work breakdown structure and managing resources through to baselining and progressing your schedule. This course is designed for new or existing users of Microsoft Project, and no previous experience of Project is required. Knowledge of planning techniques would be an advantage. Objectives  By the end of the course you will be able to: Create project schedules Build a Work Breakdown Structure Create relationships Set baselines Manage resources Set deadlines and task properties Print and report on your project Update and track project schedules Content Creating a new project Project defaults Project start date Setting default hours per day/week Setting daily working times Project timeline Building a project Creating a work breakdown structure Adding tasks and durations Estimated durations Setting milestones Recurring tasks Linking, Baselining and Resourcing Setting start dates and dependencies Task Inspector Resourcing Assigning resources Filtering available resources Baseline Setting a baseline Removing a baseline Managing resources Resource properties Dealing with over allocations Tasking information Constraint dates Setting deadline Assigning task specific calendars Task types Updating your project Completing work Completing work per resource Updating tasks Updating the project Rescheduling work Change highlighting Printing and reporting Setup and Printing Visual reports Using the Timeline Creating Dashboard reports

Enhance your skills in formatting, printing, and generating reports using Oracle Primavera Project Manager P6 PPM Professional Client. This intermediate-level course provides practical techniques to effectively manage projects and optimize your project management processes.

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

Getting Started The QUALIFI Level 3 Extended Diploma in Business, Management and Study Skills qualification develops and rewards learners looking to or already have chosen a career in a business-related sector. It is envisaged that this programme will encourage academic and professional development so that learners move forward to realise their potential and that of organisations across a broad range of sectors. The learners will gain transferable skills and knowledge that will enable individuals to meet business changes. Key Benefits To understand the business environment and business resources. Know how to present business information effectively and to develop English language communication competencies for University Studies. Understand health and safety legislation and regulations affecting a business working environment and workplace welfare. To support learners to develop confidence and skills to communicate academically while gaining awareness and understanding of other cultures and addressing the issues relevant to transitioning to higher education. Understand how successful leaders bring about effective change, impact of organisational culture and thinking entrepreneurially. Key Highlights Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our QUALIFI-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The QUALIFI Level 3 Extended Diploma in Business, Management and Study Skills can open many career pathways including, but not limited to: Operations Manager with an estimated average salary of £28,000 per annum Office Manager with an estimated average salary of £30,000 per annum Financial Planner with an estimated average salary of £22,000 per annum Program Manager with an estimated average salary of £25,000 per annum Junior Manager with an estimated average salary of £22,000 per annum Business Analyst with an estimated average salary of £30,000 per annum Fleet Manager, with an estimated average salary of £25,000 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Entry Requirements The qualification has been designed to be accessible without artificial barriers restricting access and progression. Entry to the qualification will be through a centre interview, and learners will be expected to hold the following: Qualifications at Level 2 or. Work experience in a business environment and demonstrate ambition with clear career goals. Level 3 qualification in another discipline and want to develop their careers in management. Progression Learners completing the QUALIFI Level 3 Extended Diploma in Business, Management and Study Skills can progress to: a QUALIFI Level 4 qualification, or directly into employment in an associated profession or An undergraduate degree. 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- An Introduction to the Business Environment Reference No : A/615/5045 Credit : 10 || TQT : 100 This unit will explain different types of businesses and their ownership in an economy. Learners will understand the owner and stakeholders' role in fulfilling the business's purpose. The unit will help learners to understand how companies are organised to achieve their targets. This unit will also help to know how the economic, political, legal and social environment can impact businesses, giving the learner an understanding of the range of companies. UNIT2- Business Resources Reference No : F/615/5046 Credit : 10 || TQT : 100 The unit will explain how a range of human, physical, technological and financial resources are used and managed within a business. This unit will help the learner understand how human resources are managed and the employability and personal skills required of personnel in an organisation. Learners will understand the purpose of managing resources effectively, not only concerning human resources but also in terms of physical and technological resources. Learners will also understand how an organisation can gain access to sources of finance, both internally and externally and be able to interpret financial statements. UNIT3- An Introduction to Marketing Reference No : J/615/5047 Credit : 10 || TQT : 100 Learners will gain a basic understanding of the role of the marketing function, with particular emphasis on the role of marketing research and how it contributes to marketing planning and the development of a marketing mix for a target group of customers. Learners can develop, analyse and evaluate key marketing techniques to understand them better. UNIT4- Human Resource Management Reference No : L/615/5048 Credit : 10 || TQT : 100 The unit provides an overview of some key areas that fall within the remit of the human resources function. The learners will also learn how organisations gain employee motivation and employee commitment. Finally, learners will know about how employee performance is measured and managed and the benefits of doing so. This knowledge will help learners understand the working environment and the nature of Human Resource Management when seeking or engaging in employment. UNIT5- Business Communication Reference No : R/615/5049 Credit : 10 || TQT : 100 Effective communication is a key area in terms of its contribution to business success. When studying this unit, learners will thoroughly understand the types of business information used internally and externally by organisations and the methods used to communicate information to different audiences. In this unit, learners will be able to develop, analyse and evaluate various techniques used to display multiple types of business information. They will understand the purpose of such communication. They will also produce and consider different types of business communication of their own. UNIT6- Understanding Health and Safety in the Business Workplace Reference No : J/615/5050 Credit : 10 || TQT : 100 This unit will help to prepare learners for the world of work, where health and safety are a vital part of the modern workplace, whatever sector is chosen. There is a level of myth surrounding Health and safety requirements. This unit will help dispel these and promote good health and safety practices as a productive working environment. Learners will understand health and safety legislation, regulations and requirements that form the basis of all workplaces in the UK. UNIT7- Managing Business Operations Reference No : A/617/5537 Credit : 10 || TQT : 100 This unit aims to familiarise learners with the essential aspects of businesses and their operations in both external and internal business environments. The unit emphasises that operational control and sound policies and best practices lead to organisational excellence. UNIT8- An Introduction to Finance Reference No : F/617/5538 Credit : 10 || TQT : 100 This unit introduces learners to practical accounting and financial reporting techniques managers in business organisations use. Learners will gain an understanding of the budgetary control process. UNIT9- English for University Studies Reference No : T/618/7010 Credit : 10 || TQT : 100 This unit aims to develop the language competencies required of an undergraduate-level student. The content is organised around three core skills: listening, reading and writing, using authentic academic and language learning materials. Alongside these skills, learners will have opportunities to develop and expand their range and accuracy of functional, lexical and grammatical structures. The listening component aims to develop comprehension strategies required when attending lectures as well as practice in note-taking. The reading component introduces students to various academic texts, reading purposes and methods. The writing aims to introduce learners to literary conventions and different academic writing text types. Research classes will further expand on students reading and writing skills in their specific subject area. Finally, learners must work on collaborative and independent tasks throughout the course. There will be a strong emphasis on taking responsibility for autonomous learning. UNIT10- Communication and Cultural Skills for University Reference No : A/618/7011 Credit : 10 || TQT : 100 This unit aims to support learners to develop confidence and skills to communicate in an academic environment while gaining awareness and understanding of other cultures and addressing the issues relevant to transitioning to higher education. The communication component aims to improve speaking skills through oral summaries and presentations. Focus also aims to develop critical thinking skills through discussions and debates. The academic culture component focuses on content reflecting important aspects of university life for first-year undergraduates (e.g. email etiquette, finding information, university system) and effective study strategies (e.g. time management, dealing with stress, traits of successful learners). The cultural component enables learners to understand other and local cultures better. When studying abroad, the focus will be on learning about Irish culture, society, and student life. UNIT11- An Introduction to Leadership Skills Reference No : A/617/5540 Credit : 10 || TQT : 100 This unit aims to provide the learner with an introduction to leadership skills, how they can be identified and developed, and to show the importance of motivating others. UNIT12- Organisational Culture Reference No : F/617/5541 Credit : 10 || TQT : 100 To understand aspects of an organisation's culture, its effects on its activities and management, and the significance of an ethical business approach. UNIT13- Workplace Welfare Reference No : J/617/5542 Credit : 10 || TQT : 100 To understand that workforce welfare ensures that everybody employed within the organisation is valued. To comprehend health and safety responsibilities and benefits gained from being part of the organisation. UNIT14- Thinking Entrepreneurially Reference No : R/615/4774 Credit : 10 || TQT : 100 This unit aims to introduce the learner to an evaluation of themselves in an entrepreneurial context by using several techniques, including SWOT. This unit will introduce learners to critical thinking skills and put these into context against a business plan. 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.

Register on the Video Editing - DaVinci Resolve today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Video Editing - DaVinci Resolve course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Video Editing - DaVinci Resolve course Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Video Editing - DaVinci Resolve course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Unit 01: Introduction Module 01: Introduction 00:02:00 Module 02: Downloading DaVinci Resolve 00:02:00 Unit 02: Overview Module 01: Importing media in the Media Page 00:05:00 Module 02: Working in the Cut Page 00:10:00 Module 03: Overview of the Edit Page 00:15:00 Module 04: The Colour Page Part 1 00:08:00 Module 05: The Colour Page Part 2 00:06:00 Module 06: The Fairlight Page 00:05:00 Module 07: The Fusion Page 00:05:00 Module 08: The Deliver Page 00:07:00 Module 09: The Menu 00:03:00 Unit 03: Editing techniques Module 01: Reconnecting Media 00:01:00 Module 02: Adding Titles 00:03:00 Module 03: Adjustment Layers 00:03:00 Module 04: Fade ins and Overlays 00:03:00 Module 05: Stabilising Footage 00:02:00 Module 06: Adding Blurs 00:02:00 Module 07: Right Click 00:05:00 Module 08: Crop 00:02:00 Module 09: Audio - Mono to Stereo 00:01:00 Module 10: Review Video 00:01:00 Module 11: Speed Adjustment 00:03:00 Module 12: Creative Effects part 1 00:05:00 Module 13: Creative Effects part 2 00:02:00 Module 14: Creative Effects part 3 00:01:00 Module 15: Subtitling 00:03:00 Module 16: Exporting an Alpha Channel 00:03:00 Module 17: Highlighting an area 00:03:00 Module 18: Recording Audio in Fairlight 00:02:00 Module 19: Countdown timer 00:04:00 Module 20: Green Screen Chroma Key 00:06:00 Module 21: Green Screen Delta Key 00:02:00 Module 22: Masking in the Colour Page 00:03:00 Module 23: Make you footage look like VHS 00:04:00 Module 24: Mask Tracking 00:03:00 Module 25: Moving Masks 00:04:00 Module 26: Recording a podcast 00:09:00 Module 27: Importing an XML file 00:02:00 Module 28: Multicam Edit 00:04:00 Module 29: Auto Scene Cut Detect 00:02:00 Unit 04: Editing a Dance Film Module 01: Editing a Dance Film part 1 00:02:00 Module 02: Editing a Dance Film part 2 00:13:00 Unit 05: Final thoughts Module 01: Final Thoughts 00:01:00 Additional Materials Additional Materials - Video Editing - DaVinci Resolve 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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Look at the in depth features of charts and some specialist tools to make your charts come to life. Course overview Duration: 1 day (6.5 hours) Our Excel Charting Specialist course examines how to unlock the full potential of Charts in Excel. It investigates the useful tools needed for creating bespoke Charts, allowing you to creatively present data more visually. By the end of the course, you will have an awareness of the tools used for creating more advanced Charts and will be able to create your own Dynamic Charts. The course is designed for existing users of Excel who are looking at more advanced ways to visualise data in Excel using Charts. Objectives By the end of the course you will be able to: Create and Amend Charts Format multiple areas of a Chart Use a Combo Chart Apply Conditional Formatting to a Chart Create Dynamic Charts Work with Custom Formatting Create an Advanced Dynamic Chart Content Creating and amending charts Creating Simple Charts Using the Chart Design tab Adding Chart Elements Changing the type of Chart Formatting charts Format Chart Area Format Data Series Format Data Point Format Axis Working with combo charts Adding additional data to a Chart Customising Chart types Creating Clustered Column/line Charts Applying conditional formatting on charts Using IF Statements Highlighting Max/Min Data points in Charts Using Series Overlap Dynamic charts Creating dynamic Target vs Actual Charts Introducing the NA function Hiding data used for Charts Custom formatting charts Formatting Data Labels Customising number formats Using Trend Arrows to show changes Editing Format Code Advanced dynamic charts Pivot Chart rules Creating a Pivot Chart Working with your Pivot Chart Creating calculations Combining all elements to create an Advanced Chart Using Error Bars to create a line Adding a scroll bar and linking with data