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What's the importance of infection prevention and immunization? How can you protect yourself, your staff, and the public against infectious diseases? This Infection Prevention and Immunization course will provide you with the knowledge and skills to protect yourself and those around you from infectious diseases. This CPD-certified online course will teach you the most recent infection prevention and immunization topics. You will also learn how to prevent an infection from spreading by following conventional measures such as handwashing and cooking. This is critical for any healthcare or general organization that wants to stay in compliance with its regulations and maintain a safe working environment. Learning Outcomes After this Infection Prevention and Immunization course, you will be able to: Understand the infection control assurance framework in the UK. Know standard hand washing technique. Describe the concepts of immunizations. Recognize water and foodborne infections. Know about the infections that spread by body fluid. Learn about the rare infections that are found in the UK. So, enrol in this Infection Prevention and Immunization course today and start learning! Why should you choose this course with Academy for Health & Fitness? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Globally accepted standard structured lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete this program in your own time, at your own pace Each of our students gets full 24/7 tutor support This course has been designed by experts, to create a rich and in-depth training experience for all the students who enrol on it. Enrol on this course now and get instant access to all course materials. Then, enjoy the course materials online from any internet-enabled device and learn when it suits you. Start your learning journey with this course straight away and take a step forward in securing a better future! **** Course Curriculum **** Here is the curriculum breakdown of this Course: Module 1: Infection Prevention and Control Policy in the UK Purpose of the Policy Objective Definitions Scope Duties Healthcare Personnel Infection Control Assurance Framework Training Patient and Public Information Monitoring Contacting the Infection Prevention and Control Team Module 2: Principles Hospital-acquired (nosocomial) infections Prevention of Infection in Healthcare Settings Handwashing Other important points in handwashing Standard handwashing procedures Asepsis Decontamination Standard Environmental Cleaning Disinfection Methods Precautions MRSA Module 3: Immunization Basic Principles of Immunization The creation of the EPI (Expanded Programme on Immunization) The impact of the EPI The six targeted diseases Progress towards meeting EPI targets Module 4: Infections Spread by Food and Water Diarrhoea Typhoid Poliomyelitis Hepatitis A Hepatitis E Module 5: Infections Spread by Animals and Insects, and Less Common Infections Found in the UK Anthrax Crimean-Congo Haemorrhagic Fever Hantavirus Legionnaire's disease Leishmaniasis Leptospirosis Louse-borne typhus Lyme disease Malaria Rabies Tetanus Tickborne encephalitis Toxoplasmosis West Nile fever Module 6: Infections & Diseases Spread by Person-to-Person Contact Diphtheria Influenza Pertussis Mumps Rubella (German measles) Measles (Rubeola) Haemophilus influenza type B (HIB) Pneumococcal pneumonia Module 7: Infections Spread by Sexual Contact General points Chlamydia Gonorrhoea Syphilis Chancroid Trichomoniasis Non-gonoccal urethritis Genital herpes Genital warts Pubic lice Bacterial Vaginosis and Vulvovaginal Candidiasis Vulvovaginal candidiasis Module 8: Infections Spread by Blood and Body Fluids HIV/AIDS Hepatitis B (HBV) Hepatitis C (HCV) Assessment Process Once you have completed all the modules in this course, your skills and knowledge will be tested with an automated multiple-choice assessment. You will then receive instant results to let you know if you have successfully passed this course. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Infection Prevention and Immunisation course can be enrolled in by: Anyone interested in this topic to develop their personal awareness. Anyone working in the health sector. Students Job seekers in the health sector. Requirements There are no previous knowledge requirements for this programme; this is open to anyone! Any learning enthusiast from anywhere in the world can enrol on this course without any hesitation. All students must have a passion for learning and literacy, as well as being over the age of 16. Browse this 100% online course from any internet device, including your computer, tablet or smartphone. Study at your own pace and earn an industry Skillset with this course. Career path Health Visitor (£45,838 Annually) Community Public Health Nurse (£45,838 Annually) Practice Nurse (£47,672 Annually) Immunization Nurse (£22.00 - £28.00 per hour) Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

If you are looking for a new and challenging career in the area of computer programming or you just want to learn about this anyway, then our Diploma in Computer Programming course will give you the skills you need. Description: Computer Programming is regularly the primary port of call for anybody hoping to move into a full-time role in programming advancement. A comprehension of a scripting language will likewise offer many open doors for advancement as it gives understanding and information on how frameworks are constructed and executed within associations. This course is for learners with next to zero prior programming background, however a desire to comprehend computational ways to deal with critical thinking. This course starts by introducing the student to basic concepts and terminology of software development and helps them gain the skills that are required for writing and designing a program. It also gives a review of the software development process along with an introduction to programming constructs and approaches. If you want to learn computer programming, yet don't have any detailed knowledge, you'll appreciate this programming course. You will gain in depth knowledge and get up-to-date information in this field of your interest. Who is the course for? Beginners who are new to the world of programming. Individuals who want to master computer programming. Computer Programmers of a different language. Students. Entry Requirement: This course is available to all learners, of all academic backgrounds. However, an educational background or experience in business communications will be an advantage. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: Diploma in Computer Programming is a useful qualification to possess, and would be beneficial for the following professionals: Software developer. Information systems specialist. PC specialist. Mid-range programmer. UNIX/Linux programmer. Computer Fundamentals Basic Terms 00:15:00 Types of Computers 00:15:00 Anatomy of a PC 00:30:00 How a PC Works 00:15:00 CPU and Memory 00:30:00 Input Devices 00:15:00 Output Devices 00:15:00 Secondary Storage Devices 00:30:00 The Basics 00:15:00 Operating Systems and Applications 00:30:00 How is Software Built 00:15:00 Types of Software 00:15:00 Legal Issues 00:15:00 COMPUTER PROGRAMMING 101 COMPUTER PROGRAMMING 101 01:00:00 WHAT IS COMPUTER PROGRAMMING AND WHY SHOULD I CARE? 00:30:00 What a Programmer Does 01:00:00 COMPUTER PROGRAMMING AT A GLANCE COMPUTER PROGRAMMING AT A GLANCE 01:00:00 UNDERSTANDING THE LANGUAGE OF THE COMPUTER 00:30:00 Choosing a Language 00:30:00 BASIC PROGRAMMING LANGUAGE BASIC Programming Language 01:00:00 Getting Started with BASIC Programming Language 01:00:00 BASIC Overview of BASIC Components 01:00:00 BASIC Special Variables 01:00:00 BASIC Probability Functions 01:00:00 Filtering the Data Set or Splitting the Data Set 01:00:00 DATA Blocks 01:00:00 DELETE Statement 01:00:00 FORNEXT Statement 01:00:00 IF. . . THEN Statement 01:00:00 JOB STATISTICS AT A GLANCE Computer Programming 01:00:00 Employment Outlook 00:15:00 How to Find A Great Job After Graduation 01:00:00 Additional Supporting Material Fundamentals of Computer-Programming with C+ 00:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Diploma in Computer Programming 00:20:00 Final Exam Final Exam- Diploma in Computer Programming 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Course Overview Learn the deep concepts of databases and all of their critical aspects when you take this complete learning package for AWS Certified Database Specialty Exam Preparation (DBS-C01). Speciality certification provides valid proof that a technician or Database Administrator has the expertise to handle components of the AWS database services. By studying this course, you can learn how to pass the exam and attain that credential, boosting your career opportunities in cloud computing and the breadth of the IT industry.  This Amazon Web Services (AWS) course provides an excellent way to focus on the competencies and information needed to gain that educational affirmation. You will be taught a variety of essential concepts, including the Relational Database Service (RDS) and the AWS Database Migration Tool. Significant aspects of design, maintenance, management, and troubleshooting are also covered. If you are eager to put your stamp on AWS and seek long term prospects in IT, take this major step towards certification and enrol now.  This best selling AWS Certified Database Specialty Exam Preparation (DBS-C01) has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth AWS Certified Database Specialty Exam Preparation (DBS-C01) is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The AWS Certified Database Specialty Exam Preparation (DBS-C01) is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The AWS Certified Database Specialty Exam Preparation (DBS-C01) is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the AWS Certified Database Specialty Exam Preparation (DBS-C01), you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the AWS Certified Database Specialty Exam Preparation (DBS-C01) will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the AWS Certified Database Specialty Exam Preparation (DBS-C01) to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Duration 4 Days 24 CPD hours This course is intended for This is an introductory-level Java programming course, designed for experienced developers who wish to get up and running with Java, or who need to reinforce sound Java coding practices, immediately. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how it relates to OO programming and the Object Model Learn to use Java exception handling features Work with the Modular system (Project Jigsaw) Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Process large amount of data using Lambda expressions and the Stream API Abstract, static and private methods in interfaces Take advantage of the Java tooling that is available with the programming environment being used in the class Specific Java 11 features covered: Using the Local Variable Type in Lambda expressions; Updates made to the String AP Time Permitting: Quick look ahead - Java 12, Java 13, Java 14 and Beyond If you're an experienced OO developer (coming from a C# or C++ background, etc.) who needs to transition to programming in Java, this fast-paced, hands-on course will get you there quickly. Fast Track to Java Programming for OO Experienced Developers is a four-day, lab-intensive class where you'll quickly be immersed in working with the latest Java 11 programming techniques, using best practices for writing solid, robust (and well-written!) modern object-oriented applications. In addition to learning excellent, current coding skills in Java, you'll explore the new improved features for better performance and new capabilities for addressing rapid application development that Java 11 brings to the table. This course includes several key aspects that were introduced in Java 9, Java 10, and Java 11 including the Java Modular System, Local Variable Type Inference, and several API updates. This course also includes a Quick Look at what?s next in Java ? Java 12, Java 13, Java 14 and beyond. The Java Platform Java Platforms Lifecycle of a Java Program Responsibilities of JVM Documentation and Code Reuse Using the JDK Setting Up Environment Locating Class Files Compiling Package Classes Source and Class Files Java Applications The Eclipse Paradigm Workbench and Workspace Views Editors Perspectives Projects Writing a Simple Class Classes in Java Class Modifiers and Types Class Instance Variables Primitives vs. Object References Creating Objects Adding Methods to the Class Passing Parameters into Methods Returning a Value from a Method Overloaded Methods Constructors Optimizing Constructor Usage Language Statements Operators Comparison and Logical Operators Looping Continue and Break Statements The switch Statement The for-each() Loop Using Strings Create an instance of the String class Test if two strings are equal Get the length of a string Parse a string for its token components Perform a case-insensitive equality test Build up a string using StringBuffer Contrast String, StringBuffer, and StringBuilder Specializing in a Subclass Extending a Class Casting The Object Class Default Constructor Implicit Constructor Chaining Fields and Variables Instance vs. Local Variables: Usage Differences Data Types Default Values Block Scoping Rules Final and Static Fields Static Methods Using Arrays Arrays Accessing the Array Multidimensional Arrays Copying Arrays Variable Arguments Local-Variable Type Inference Type inference Infering Types of Local Variables The var Reserved Type name Benefits of Using var Backward Compatibility Java Packages and Visibility Class Location of Packages The Package Keyword Importing Classes Executing Programs Visibility in the Modular System Java Naming Conventions Inheritance and Polymorphism Polymorphism: The Subclasses Upcasting vs. Downcasting Calling Superclass Methods from Subclass The final Keyword Interfaces and Abstract Classes Separating Capability from Implementation Abstract Classes Implementing an Interface Abstract Classes vs. Interfaces Introduction to Exception Handling Exception Architecture Throwing Exceptions Checked vs. Unchecked Exceptions Exceptions Handling Multiple Exceptions Automatic Closure of Resources Creating Your Own Exceptions Utility Classes Wrapper Classes Autoboxing/Unboxing Enumeration Syntax Using Static imports Introduction to Generics Generics and Subtyping Bounded Wildcards Generic Methods Legacy Calls to Generics When Generics Should Be Used Lambda Expressions and Functional Interface Lambda Expression Syntax Functional Interfaces Type Inference in Java 8 Method references Collections Characterizing Collections Collection Interface Hierarchy The Set, List and Queue Interfaces Map Interfaces Using Collections Collection Sorting Comparators Using the Right Collection Lambda expressions in Collections Streams Processing Collections of data The Stream interface Reduction and Parallelism Filtering collection data Sorting Collection data Map collection data Find elements in Stream Numeric Streams Create infinite Streams Sources for using Streams Collectors Creating Collections from a Stream Group elements in the Stream Multi-level grouping of elements Partitioning Streams Introduction to the Module System Introduce Project Jigsaw Classpath and Encapsulation The JDK internal APIs Java 9 Platform modules Defining application modules Define module dependencies Implicit dependencies Implied Readability Exporting packages Java Date/Time The Date and Calendar classes Introduce the new Date/Time API LocalDate, LocalDateTime, etc. Formatting Dates Working with time zones Manipulate date/time values Java 12 and beyond Provide an overview of changes since Java 11 Introduce Preview Features Records (Java 14) Switch Expressions (Java 12, Java 13, Java 14) Text Blocks (Java 13, Java 14) Helpful NullPointerExceptions (Java 14) Pattern Matching for instanceof (Java 14) Additional course details: Nexus Humans Fast Track to Core Java Programming for Object Oriented Developers (TT2104-J11) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Fast Track to Core Java Programming for Object Oriented Developers (TT2104-J11) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Highlights of the Course Course Type: Online Learning Duration: 1 to 2 hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about competitive matrix Understand the core competencies and principles of competitive matrix Explore the various areas of competitive matrix Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert business manager Craft an Envisioned and Enduring Mission Course Master the skills you need to propel your career forward in competitive matrix. This course will equip you with the essential knowledge and skillset that will make you a confident business manager and take your career to the next level. This comprehensive craft an envisioned and enduring mission course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this craft an inspiring course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective competitive matrix practice and equip you with the essential skills, confidence and competence to assist you in the competitive matrix industry. You'll gain a solid understanding of the core competencies required to drive a successful career in competitive matrix. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for business manager or for people who are aspiring to specialise in competitive matrix. Enrol in this craft an envisioned and enduring mission course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive craft an envisioned and enduring mission course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this competitive matrix can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This craft an envisioned and enduring mission course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This craft an envisioned and enduring mission course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This craft an envisioned and enduring mission course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Demystifying Mission and Vision 00:02:00 Develop Your Competitive Matrix Step by Step Why Investors Care about Mission and Vision Statements 00:02:00 What's a Vision Statement 00:03:00 What a Mission Statement 00:03:00 Differences Between Mission and Vision Statements 00:03:00 Mission and Vision Best Practices 00:00:00 Vision Statement Explained In Depth 00:01:00 The 4 Types of Entrepreneurs 00:02:00 Crafting Your Vision Statement 00:07:00 Crafting Your Mission Statement 00:05:00 Tips for Writing a Great Mission Statement 00:06:00 Workshop Workshop - Create Your Vision and Mission Statements 00:04:00 Supplementary Resource Supplementary Resources - Craft an Inspiring Vision and Mission Statement 00:00:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Highlights of the Course Course Type: Online Learning Duration: 1 to 2 hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about competitors segmentation Understand the core competencies and principles of competitors segmentation Explore the various areas of competitors segmentation Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert business manager Classify and Segment Your Competition Program Course Master the skills you need to propel your career forward in competitors segmentation. This course will equip you with the essential knowledge and skillset that will make you a confident business manager and take your career to the next level. This comprehensive classify and segment your competition program course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying thisdefine and segment your competition course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective competitors segmentation practice and equip you with the essential skills, confidence and competence to assist you in the competitors segmentation industry. You'll gain a solid understanding of the core competencies required to drive a successful career in competitors segmentation. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for business manager or for people who are aspiring to specialise in competitors segmentation. Enrol in this classify and segment your competition program course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive classify and segment your competition program course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this competitors segmentation can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This classify and segment your competition program course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This classify and segment your competition program course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This classify and segment your competition program course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction What it Means to Define and Segment Competition 00:05:00 Defining and Tracking Your Competition Indirect Competition 00:03:00 Wallet Share 00:03:00 The Competitive Binder 00:05:00 You must have competition 00:04:00 Too Much Competition 00:03:00 Nutrition Bar Market Case Study 00:04:00 Workshop Define and Segment Your Competition in Action 00:04:00 Supplementary Resources Supplementary Resources - Define and Segment Your Competition 00:00:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Create a Gatsby.js Progressive Web App with GraphQL, React, and WordPress and add JAMstack to your skills

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.

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