915 Outstanding courses

Description Actuarial Science Diploma  Introducing the Actuarial Science Diploma, an innovative online course tailored to empower aspiring actuaries with essential knowledge and skills. This comprehensive programme offers a deep dive into the world of actuarial science, covering critical topics such as probability and statistics, life insurance mathematics, and financial economics, among others. The course blends theoretical concepts with practical applications, preparing students for a successful career in the actuarial field.  The Actuarial Science Diploma course starts with an introduction to actuarial science, providing a solid foundation for students to build upon. They will gain a thorough understanding of the role of actuaries in various industries and learn how to apply mathematical and statistical concepts to solve complex financial problems.  As students progress through the course, they will delve into the intricacies of probability and statistics in actuarial science. This segment covers essential statistical concepts, equipping students with the tools to evaluate and manage risk in various financial contexts. With a strong focus on practical examples, learners will develop the analytical skills needed to make informed decisions based on statistical data.  Life insurance mathematics is another vital component of the Actuarial Science Diploma. In this section, students will explore the principles of life insurance, including the calculation of premiums and reserves. They will also examine the factors influencing life insurance pricing and learn how to create suitable products for diverse client needs.  The course then moves on to general insurance mathematics, where students will study the fundamentals of property and casualty insurance. They will gain insight into pricing, reserving, and risk management in this sector, as well as discover the regulatory environment surrounding general insurance products.  Pension fund mathematics is also covered in the Actuarial Science Diploma programme. Students will learn the key concepts related to pension schemes, including valuation, funding, and asset-liability management. They will develop a clear understanding of the various types of pension plans and their implications for both employers and employees.  Health insurance mathematics is another essential topic addressed in this course. Students will gain a thorough understanding of the principles and practices associated with health insurance products. They will explore the methods used to price and reserve health insurance policies and learn how to manage the risks associated with providing healthcare coverage.  Financial economics plays a significant role in actuarial science, and this course provides a comprehensive overview of the subject. Students will explore the relationship between financial markets and actuarial practice, learning how to apply economic theories and models to solve real-world financial problems.  Enterprise risk management is another key area of focus in the Actuarial Science Diploma course. Students will learn about the various techniques and methodologies used to identify, assess, and manage risks within an organisation. They will also examine the role of actuaries in developing and implementing effective risk management strategies.  Actuarial modelling and simulation is a crucial skill for actuaries, and this course equips students with the expertise to build and analyse sophisticated models. They will learn how to use actuarial software and develop a strong understanding of the underlying principles of actuarial modelling.  Finally, the Actuarial Science Diploma programme addresses professionalism and ethics in actuarial practice. Students will learn about the ethical standards and professional responsibilities expected of actuaries, ensuring that they are well-prepared for a successful and ethical career in the industry.  In summary, the Actuarial Science Diploma is an outstanding online course designed to provide aspiring actuaries with a comprehensive understanding of the key concepts, techniques, and applications in the field. With a strong focus on practical skills and real-world examples, students will be well-equipped to excel in their chosen actuarial career path.  What you will learn  1:Introduction to Actuarial Science  2:Probability and Statistics in Actuarial Science  3:Life Insurance Mathematics  4:General Insurance Mathematics  5:Pension Fund Mathematics  6:Health Insurance Mathematics  7:Financial Economics in Actuarial Science  8:Enterprise Risk Management  9:Actuarial Modelling and Simulation  10:Professionalism and Ethics in Actuarial Practice  Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Description Investigative Journalism  Introducing the Investigative Journalism Diploma, an outstanding course tailored for aspiring investigative journalists and media professionals. This comprehensive programme covers the essential aspects of the field, equipping students with the skills and knowledge necessary to delve into the world of investigative journalism. In today's fast-paced media landscape, the importance of accurate and in-depth reporting cannot be overstated. This Investigative Journalism Diploma ensures that students gain a solid foundation in this crucial area.  The course begins by examining the importance of investigative journalism, highlighting its pivotal role in holding power to account and fostering an informed society. Participants will learn how to identify newsworthy stories and harness the power of investigative reporting to expose wrongdoing, challenge authority, and bring truth to light.  The Investigative Journalism Diploma delves into the process of finding the story, teaching students to conduct thorough research, develop sources, and utilise public records to uncover hidden information. By understanding how to gather and verify facts, budding investigative journalists can ensure their stories are accurate, compelling, and engaging.  Ethics and legal considerations are essential components of any journalistic endeavour, and this course addresses these issues head-on. Students will learn about the ethical principles that guide responsible journalism, as well as the legal boundaries that must be respected during investigations. This knowledge will help them navigate the complexities of reporting in the public interest while staying within the confines of the law.  The Investigative Journalism Diploma covers a wide range of investigative techniques, from traditional methods to the latest digital tools. Participants will learn how to effectively use interviews, undercover work, and data analysis to uncover hidden truths and expose corruption. By mastering these techniques, students will be well-equipped to tackle even the most challenging investigations.  Writing the story is a crucial aspect of investigative journalism, and this course helps students develop the skills to craft compelling narratives that resonate with their audience. From structuring the story to incorporating multimedia elements, students will learn how to present their findings in a way that captures the reader's attention and drives home the significance of their work.  The course also explores the challenges and opportunities presented by investigating across borders. In an increasingly interconnected world, the ability to collaborate with colleagues from diverse backgrounds and navigate cultural differences is more important than ever. Students will learn strategies for working effectively in international settings, as well as how to leverage global networks and resources to pursue their investigations.  Business and corruption investigations are central components of the Investigative Journalism Diploma, exposing students to the unique challenges and techniques involved in uncovering financial misdeeds, corporate malfeasance, and political corruption. By exploring case studies and learning from experienced journalists, students will gain the insights needed to tackle these complex and high-stakes investigations.  Investigating social justice issues is another critical element of the course, providing students with the skills to probe deeply into matters of inequality, discrimination, and human rights abuses. By understanding how to approach these sensitive topics and present their findings in a responsible manner, students will be equipped to make a real impact in their communities and beyond.  Lastly, the Investigative Journalism Diploma examines the future of the field, discussing emerging trends, technologies, and challenges that will shape the profession in the years to come. Students will gain a forward-thinking perspective that will enable them to adapt and thrive in the ever-evolving world of journalism.  By enrolling in the Investigative Journalism Diploma, students will embark on a fascinating and rewarding journey, acquiring the skills and knowledge necessary to make a meaningful difference in the world through their reporting. Don't miss this opportunity to join the ranks of the fearless and dedicated investigative journalists who play a vital role in preserving the integrity of our societies.  What you will learn  1:The Importance of Investigative Journalism  2:Finding the Story  3:Ethics and Legal Considerations  4:Investigative Techniques  5:Writing the Story  6:Investigating Across Borders  7:Investigating Business  8:Investigating Corruption  9:Investigating Social Justice  10:The Future of Investigative Journalism  Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Description Would You Like More Success In Your Life? Have you ever wished you could have more happiness, have more success, have more influence, and handle your finances? Success is a skill that can be learnt. In this course, I want to show you the rules for success in your personal and professional life. You'll learn how to master your wealth, your finance, your happiness, your influence, your self-mastery and so much more so you can have the success you deserve! This is a course that everyone should enroll in to get a better life! This is what you'll learn in this course: What The Success Mindset Is & How They Can Have It The Secrets To Have More Wealth & Be Financially Free - Finance Tips The Keys To Lasting Happiness - Happiness Secrets The Formula To Influence Anyone Instantly - Influence Model How To Be A Great Leader The Keys To Self-Mastery The Habits For Success How To Brand Yourself For Success This course is for people who would like to experience more success in their personal and professional life. Go ahead enroll in this course now. There is a 30 day money back guarantee so you can try this course risk-free! What you'll learn What The Success Mindset Is & How They Can Have It The Secrets To Have More Wealth & Be Financially Free - Finance Tips The Keys To Lasting Happiness - Happiness Secrets The Formula To Influence Anyone Instantly - Influence Model How To Be A Great Leader The Keys To Self-Mastery The Habits For Success How To Brand Yourself For Success Requirements  A willingness to apply the world's best success techniques Who is the target audience ? People who would like to take their life to the next level People who would like to have more wealth, have more personal success, a better mindset, be happier, etc People who would like to have success in their personal and professional life People who want to learn the principles of success Success: The 7 Skills To Success, Confidence & Achievement Welcome + What You Will Learn FREE 00:04:00 Discover The Mindset For Success & How You Can Implement It For Your Success 00:28:00 The Secrets To Have More Wealth & Be Financially Free 00:22:00 Discover The Keys To Lasting & Real Happiness 00:14:00 How To Influence Anyone Anywhere: The Most Powerful Influence Model Explained! 00:19:00 Become An Outstanding Leader: Real Leadership Secrets Revealed! 00:17:00 Self-Mastery: Learn How To Master Yourself To Welcome Success To Your Life 00:12:00 Powerful Habits For Success: Leant The Habits That WIll Fast Track Your Success 00:13:00 Branding Yourself: Be & Appear As Your Stronger Self 00:10:00

Course Information Join our comprehensive three-day training programme tailored for individuals seeking a foundational grasp of computerised system validation. This course equips participants with essential knowledge to effectively validate systems within their respective organisations for utilisation in GxP (GLP, GCP, GMP, GDP, and GPvP) environments. Attendees will also gain proficiency in auditing validated computerised systems, ensuring compliance with pertinent GxP regulations. Commencing with an overview of regulatory prerequisites and the system life cycle, the course transitions into practical aspects, centered around validating computerised systems and conducting subsequent audits. Engage in a dynamic blend of presentations, interactive discussions, and hands-on practical workshops throughout the course. This course will provide delegates with an understanding of the computerised system validation process, including: Definition of end user requirements Risk management, including supplier assessment and techniques for audit planning Validation planning and reporting Linking system development with good business practices Formal testing and qualification Understanding of data integrity and security issues How to assess system validation documentation to verify compliance. Is this course for you? IT professionals new to implementing computerised systems into regulated environments Quality professionals who monitor or audit computerised systems System owners, end users, tester and project staff. Tutors Tutors will be comprised of (click the photos for biographies): Nichola Stevens Director and Principal Consultant, Nuncius Compliance Solutions Ltd Barry McManus Consultancy Partner, Empowerment Quality Engineering Ltd Programme Please note timings may be subject to alteration. Day 1 09:00 Welcome, Introduction and Course Objectives 09:45 Why Validate? Regulations and Guidance on Computerised System Validation Overview of the regulations and guidance applicable to CSV and their key expectations. 10:30 Break 10:45 The System Lifecycle The concept of the SLC and the key outputs from it. 12:00 Lunch 12:45 The Validation Process The approach to validation for different system types and a look at some of the key deliverables. 14:00 Project Introduction 14:15 Exercise 1 - User Requirements Capturing, agreeing and documenting the user requirements for a system. 15:15 Break 15:30 Exercise 1 - Feedback 16:00 Risk Management Risk management and its impact on validation. Identifying the deliverables required. Then group discussion on risk assessment for three systems. 17:00 Questions and Answers Answers to any outstanding questions from Day 1. 17:15 Close of Day Day 2 09:00 Supplier Assessment The different approaches to supplier assessment and the things to be considered when assessing a supplier. 10:15 Exercise 2 - Supplier Assessment Planning a vendor audit with a focus on the key validation deliverables. 11:00 Break 11:15 Exercise 2 - Feedback 11:45 Test Overview and Test Planning The different test phases, the purpose of each test phase and things to be considered when planning and reporting testing. 12:45 Lunch 13:30 Test Overview and Test Planning Continued. 14:15 Test Script Design, Execution and Review What a good test script looks like and the key things to consider when creating, executing and reviewing a test script. 15:30 Break 15:45 Exercise 3 - Creating a Test Script Create a test script based on user requirements created on Day 1. 17:15 Close of Day Day 3 09:00 Exercise 3 Feedback 09:30 Infrastructure Configuration and Qualification 10:30 Break 10:45 Validation Reporting Overview of the Validation Report and what should be included in it. 11:15 Maintaining the Validated State The procedures and records needed to ensure the system remains fit for purpose. 12:30 Lunch 13:15 Change Control Key concepts related to making changes to validated systems. 14:00 Data Integrity and Security How can we assure the integrity and security of our data. 15:15 Break 15:30 Course Objectives Summary and Panel Discussion A round up of key learning from the course. 17:00 Close of Course Extra Information Face-to-face course Course Material Course material will be available in PDF format for delegates attending this course. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course. The material will be emailed in advance of the course and RQA will not be providing any printed copies of the course notes during the training itself. Delegates wishing to have a hard copy of the notes should print these in advance to bring with them. Alternatively delegates are welcome to bring along their own portable devices to view the material during the training sessions. Remote course Course Material This course will be run completely online. You will receive an email with a link to our online system, which will house your licensed course materials and access to the remote event. Please note this course will run in UK timezone. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course Access to an online course group to enhance networking. You will need a stable internet connection, a microphone and a webcam. CPD Points 19 Points Development Level Develop

Events Management Course Diploma A career in events management or wedding management can be exceptionally rewarding. This is a fast paced environment where you will be expected to know the industry and have outstanding planning and problem solving skills. This course is ideal for anyone who is looking for a successful career as a wedding or event manager or for anyone who is already working within the industry, but wants to have a certification in place to prove their passion and dedication to the industry. Introduction to Events Management Course Diploma The events management course diploma is made up of twenty three modules. These modules are brimming with valuable information, tips, advice and guidance to help you enjoy a successful career as an events or wedding manager. The course should take around fifteen hours to complete with the convenience of studying at your own pace and where you feel most comfortable, utilising the online modules which work on all devices. You will learn a host of essential skills, including staging and design, event logistics, legalities and what you need to know to start your own event management business. During your studies you will have access to online support and on completion you will need to pass a multiple choice test which is based on what you have learned in the modules. On passing, you can download and print your certificate straight away.   What You Will Learn In this information packed course, you can expect to learn the following: Understand the benefits of having a diploma and what is expected of you as an events manager. Learn the benefits of strategic management, why budgeting is so important and identify different events management software solutions. Identify why customer service skills are so important along with how to improve your communication skills effectively. Learn about the various types of events you may be asked to manage during your career. Learn about staging and design and gain insight into using the venue's resources, how to use seasonal themes and so much more. Understand the importance of financial management. Learn how to stick to a budget, sell tickets and manage the finances effectively throughout the event. Get insight into the importance of health and safety at all events. Learn how to run an event safely, what to look out for and how to cater to emergencies. Get advice on troubleshooting and logistics at events from electricity supply to tables and parking. Understand the wedding planning industry and why people need wedding planners to help them organise their special day. Identify with the various wedding types. Learn the wedding planning process. How to choose the right wedding venue based on your clients. Venues, hidden extras, negotiating the best prices and more. Understand the different wedding ceremonies and legalities, such as who can get married, making it official and schedules. Learn how to choose the right wedding theme. Learn how to save money when it comes to wedding attire, along with the regulations you need to be aware of. Get valuable insight on wedding catering and entertainment. Understand your role when it comes to printed materials. Organising transportation. Tips to find the best wedding photographers and videographers. Know your role as a wedding planner when the couple is getting married abroad. How to start your own events management business. Get a firm understanding of marketing, insurance and tax when opening your own events management business.   Benefits of the Event Management Course This event management course is guaranteed to provide you with a wide range of superior benefits from when you first decide on events management as your career to running your own successful business. The benefits include: Recognised certification. Online support throughout your studies. Informative modules you can rely on. Study at your own pace, no set schedules to work to. Boost your career in events management. Gain the knowledge and skills you need to enjoy a successful career. Get the insight and advice you need to start your own events management business.

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Overview Learn how to prescribe controlled drugs and antibiotics. Develop your clinical competence by enrolling in our Nurse Prescribing Diploma Course course. Through this course, you will gain the fundamental skills to provide outstanding services to care and manage patients' clinical conditions by making workable prescribing decisions.A nurse prescriber provides improved access to care, reducing the risk of hospitalisation. After your successful completion, you will be far more capable of diagnosing disorders, prescribing controlled drugs and antibiotics, generalising anxiety disorders, tackling panic disorders, and much more. Enrol today to empower individuals with your excellent nursing care plans. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Nurse Prescribing Diploma Courseg. It is available to all students, of all academic backgrounds. Requirements Our Nurse Prescribing Diploma Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 1 sections • 17 lectures • 03:23:00 total length •Module 01 - Introduction to Nurse Prescribing: 00:20:00 •Module 02 - Responsibilities of Nurse Prescribing: 00:20:00 •Module 03 - Standards for Prescribing Practice: 00:10:00 •Module 04 - Prescribing Controlled Drugs: 00:10:00 •Module 05 - Neuropathic Pain in Adults: Pharmacological Management: 00:10:00 •Module 06 - Generalised Anxiety Disorder in Adults: 00:10:00 •Module 07- Tackling Panic Disorder in Adults: 00:10:00 •Module 08 - Headaches in Over 12s: Diagnosis and Management: 00:10:00 •Module 09 - Depression in Adults with a Chronic Physical Health Problem: 00:20:00 •Module 10 - Palliative Care for Adults: 00:05:00 •Module 11 - Respiratory Tract Infections (Self-Limiting): Prescribing Antibiotics: 00:05:00 •Module 12 - Prescribing and Managing Medicines in Care Homes: 00:15:00 •Module 13 - Pneumonia (Hospital - Acquired) Antimicrobial Prescribing: 00:13:00 •Module 14 - Prostatitis (Acute): Antimicrobial Prescribing: 00:10:00 •Module 15 - Sinusitis (Acute): Antimicrobial Prescribing: 00:10:00 •Module 16 - Drug Misuse in Over 16s: Opioid Detoxification: 00:10:00 •Module 17- Future Challenges for Nurse Prescribers: 00:15:00

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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.