1459 Privacy courses

Overview This comprehensive course on Certificate in Know Your Customer & Customer Due Diligence will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Certificate in Know Your Customer & Customer Due Diligence comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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 Certificate in Know Your Customer & Customer Due Diligence. It is available to all students, of all academic backgrounds. Requirements Our Certificate in Know Your Customer & Customer Due Diligence is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 7 sections • 7 lectures • 02:15:00 total length •Introduction to KYC: 00:31:00 •Customer Due Diligence: 00:21:00 •AML (Anti-Money Laundering): 00:29:00 •KYC, AML, and Data Privacy Regulations for Businesses Operations in the United Kingdom: 00:21:00 •Regulations to be Complied by Industries: 00:20:00 •Methods for carrying out KYC and AML and the Future of KYC Compliance: 00:13:00 •Assignment - Certificate in Know Your Customer & Customer Due Diligence: 2 days

This comprehensive bundle is tailor-made to equip individuals aspiring to become proficient Medical Secretaries with the essential skills and knowledge needed for success in healthcare administration. With a strong focus on the pivotal role of a Medical Secretary within the healthcare sector, participants will delve into various aspects of the profession. The program covers a wide range of topics essential for Medical Secretaries, including medical terminology, clinical coding, transcription, GDPR compliance, and document management. Learners will also gain expertise in effective communication, customer service, and stress management, all of which are crucial skills for "Medical Secretaries" working in healthcare environments. Throughout this bundle, the central theme of a Medical Secretary is prominent, ensuring that participants not only understand the responsibilities and intricacies of the role but also develop practical skills to excel in healthcare administration. Graduates emerge as capable "Medical Secretaries," ready to manage patient records, navigate medical coding, ensure GDPR compliance, and efficiently handle administrative tasks in healthcare facilities. Whether you are embarking on a career as a Medical Secretary or looking to enhance your existing skills in this field, this bundle offers a comprehensive education that aligns with the unique demands and opportunities faced by Medical Secretaries in healthcare settings. *** Course Curriculum *** Here is the curriculum breakdown of the Medical Secretary Bundle: Course 01: Medical Receptionist: Responsibilities and Skills Course 02: Clinical Coding Course 03: Medical Transcription Course 04: GDPR in Healthcare Course 05: Document Control Course 06: Electronic Document Management System Step Course 07: Clinical Coding : ICD-10-CM Course 08: Clinical Coding Inpatient Training: DRG-ICD Course 09: Clinical Coding Inpatient Training: DRG-PCS Course 10: Medical Coding Training: Develop Inpatient DRG Course 11: Compliance Risk and Management Course 12: Phone-Based Customer Service Course 13: Effective Communication Skills Diploma Course 14: Touch Typing Essentials Course 15: Level 2 Microsoft Office Essentials Course 16: Personal Hygiene Course 17: Stress Management Training Course 18: Critical Thinking in The Workplace Learning Outcomes of Medical Administration Bundle Upon completion, you'll gain mastery in: Proficiency in medical terminology and patient records management for effective "Medical Secretary" roles. Competence in appointment scheduling and healthcare ethics is crucial in medical office administration. Skill in effective communication within a healthcare environment, supporting medical professionals effectively. Mastery of administrative tasks, ensuring efficient medical office operations as a "Medical Secretary." Understanding of healthcare compliance and privacy regulations to maintain patient confidentiality. Preparedness for a "Medical Secretary" career, contributing to healthcare facilities' professionalism and efficiency. Why Choose Our Medical Secretary Course? FREE Medical secretary certificate accredited Get a free student ID card with Medical Secretary Training Get instant access to this Medical secretary course. Learn Medical secretary from anywhere in the world The Medical secretary is affordable and simple to understand The Medical Secretary is an entirely online, interactive lesson with voiceover audio Lifetime access to the Medical secretary course materials The Medical secretary comes with 24/7 tutor support This comprehensive bundle is meticulously designed to prepare individuals aspiring to become proficient Medical Secretaries with the essential skills and knowledge required for success in healthcare administration. With a dedicated focus on the pivotal role of a Medical Secretary within healthcare settings, participants will acquire the necessary expertise across various facets of this profession. The program covers an extensive range of topics vital for Medical Secretaries, encompassing medical terminology, clinical coding, transcription, GDPR compliance, and document management. Additionally, learners will develop expertise in effective communication, customer service, and stress management - all essential competencies for Medical Secretaries operating within healthcare environments. Throughout this bundle, the role of a Medical Secretary takes centre stage, ensuring participants not only comprehend the responsibilities and intricacies of the role but also cultivate practical skills to excel in healthcare administration. Graduates emerge as adept Medical Secretaries, well-prepared to manage patient records, navigate medical coding, uphold GDPR compliance, and proficiently handle administrative tasks within healthcare facilities. Whether embarking on a career as a Medical Secretary or seeking to enhance existing skills in this field, this bundle offers a comprehensive education that aligns with the unique demands and opportunities encountered by Medical Secretaries in healthcare settings. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Medical Administration (Medical Receptionist, Medical Secretary & Clinical Governance) bundle is suitable for: Aspiring Medical Secretaries Healthcare Administrators Medical Transcriptionists Compliance Officers Healthcare Professionals Healthcare Enthusiasts Requirements Medical Administration (Medical Receptionist, Medical Secretary & Clinical Governance) Career path Forge your path to roles such as: Medical Receptionist (£18,000 - £25,000). Medical Secretary (£20,000 - £30,000). Clinical Coding Specialist (£25,000 - £40,000). Healthcare Compliance Officer (£25,000 - £35,000). Customer Service Representative (£18,000 - £28,000). Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

The General Data Protection Regulation (GDPR) is a complex piece of legislation that sets out strict rules for how organizations can collect, use, and store personal data. This General Data Protection Regulation (GDPR) course will provide you with a comprehensive overview of the GDPR, covering all of the key topics. Along with this General Data Protection Regulation (GDPR) Awareness course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. Learning Outcomes of General Data Protection Regulation (GDPR): Understand the key concepts of the GDPR Identify the rights of individuals under the GDPR Comply with the GDPR requirements for your organization Protect personal data from unauthorized access, use, or disclosure This General Data Protection Regulation (GDPR) Awareness Bundle Consists of the following Premium courses: Course 01: GDPR Course 02: Law and Contracts - Level 2 Course 03: Information Management Course 04: Electronic Document Management System Step Course 05: Encryption Course 06: Level 3 Cyber Security Course 07: Document Control Course 08: Paralegal Course 09: Office Administration Certificate Course 10: Cisco ASA Firewall Training Course 11: Creativity and Problem Solving Skills So, enrol in this General Data Protection Regulation (GDPR) course now, to advance your career! This General Data Protection Regulation (GDPR) course is designed for anyone who needs to understand the GDPR, including businesses, organizations, and individuals. It is a comprehensive and informative course that will provide you with the knowledge you need to comply with the GDPR. The Curriculum of General Data Protection Regulation (GDPR) Bundle Course 01: GDPR Module 01: Basics Of GDPR Module 02: Principles of GDPR Module 03: Legal Foundation for Processing Module 04: Rights of Individuals Module 05: Accountability and Governance Module 06: Data Protection Officer Module 07: Security Of Data Module 08: Personal Data Breaches Module 09: International Data Transfers After the Brexit Module 10: Exemptions - Part One Module 11: Exemptions - Part Two Module 12: National Security and Defence Module 13: Understanding Data Protection Act 2018 =========>>>>> And 10 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificates: Free (Previously it was £10*11= £110) Hard Copy Certificates: Free (Previously it was £20*11= £220) Enroll in this course today and start learning about the GDPR! CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This General Data Protection Regulation (GDPR) course is for anyone who needs to understand the GDPR, including: Business owners and managers Data protection officers IT professionals Legal professionals Anyone who works with personal data Requirements Our General Data Protection Regulation (GDPR) Awareness is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 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 A career in data protection is a growing field, with many opportunities for qualified professionals. Privacy Manager: £30K - £50K Compliance Officer: £30K - £50K Data Protection Officer (DPO): £40K - £70K With this General Data Protection Regulation (GDPR) course, you will be well-positioned to pursue a career in data protection, with salaries in the UK ranging from £30,000 to £70,000 per year. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - £9.99 You will get the Hard Copy certificate for the title course (GDPR) absolutely Free! Other hard-copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

ISO/IEC 27001:2022 is an international standard of Information security, cyber security and privacy protection known as Information security management systems (ISMS), the existence of it requires competent personnel to interpret its requirements, address those to integrate ISMS in an organization, and audit the organization to assess the implementation and effectiveness of overall implementation. This course is designed for professionals who are responsible for any aspect of Information Security Management Systems (ISMS) as well as for those, specifically, who are pursuing their career in the field of auditing and certification. This course enhances the knowledge and skills of delegates to understand the standard and audit it effectively. The course is consisting of study material in form of self-study type written and exercises. Attendees of this course will be, on completion, competent to implement ISMS, Plan, Conduct & Report 1st, 2nd & 3rd party audits.   Features of Couse ✔ 100% Online Self-paced: Considering busy schedules, we have designed this course to be attended online without bounding with the timings. To make it interactive, we have created different communication groups where candidates can discuss the points with other fellows as well as the trainers of course. Also, they can interact with trainers on monthly demonstration classes. ✔ Testing the Learning: Each section of course is covered with exercise to check your understanding in real-time, and overall result is affected by exercises you complete. ✔ Self-Scheduling: This 40 Hours full fledge course is designed to match your schedule. You will get a life time access to this course and complete it on your ease. ✔ Superlative Material: The training is designed, developed and reviewed by competent auditors with extensive experience of auditing in different regions of world. ✔ Approved Course: The course is approved by one of the well-known personal certifying body “Exemplar Global”. With the approved course, you will get many benefits from Exemplar global which includes but not limited to; Exemplar Global graduate certificate with being listed on their website as auditor as well as badge of auditor from Exemplar Global. Extended learning content from Exemplar Global Complimentary access to online events, online magazine, newsletters, and low-cost professional Access to an exclusive LinkedIn Community Opportunity to explore career enhancement and employment opportunities A discount of 50% in registration fees with Exemplar Global if register through us   Who should attend this? This course is recommended to be attended by those who are involved in implementation and/ or auditing of Information Security Management Systems (ISMS), specifically ISMS Managers, Auditors and others willing to add credibility with a widely accepted qualification for auditing. Also, recommended to satisfy the applicable requirement of training and competence, if any. This course can add values to your profile if you are Intending to perform audits of Information Security Management Systems (ISMS). An ISMS Executive/ Management Representative An Existing Internal Auditor An Information Security Management Systems (ISMS) Consultant Responsible for implementing the Information Security Management Systems (ISMS) standard. Responsibility to evaluate the outcome of internal ISO 27001 – Information Security Management Systems (ISMS) audits and have responsibility/ authority to improve the effectiveness of the Information Security Management Systems (ISMS). Pursuing to make career in Information Security Management Systems (ISMS) auditing. Want to transit from older version to new   Course Duration: 40 Learning Hours and extended time of exercise & Exam.   Certificate: Those who pass all exercises with 50% at least in each exercise will be awarded with successfully completion certificate with the approval of Exemplar Global and a Lifetime validity. Note: Each exercise have 2 retakes, if a candidate fails in all 3 terms, the course will be blocked there and the candidate will have to purchase it again by paying 20% of the original price.   Language of Course: English   Pre-Requisites: ISO 27001 awareness training course.

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.

Computer Science GCSE Syllabus The GCSE Computer Science Tutor Syllabus is designed to provide tutors in England with a comprehensive framework for teaching the GCSE Computer Science curriculum effectively. This syllabus aims to equip tutors with the necessary knowledge and skills to support students in their understanding and application of core computer science concepts.  Module 1: Introduction to Computer Science - Overview of computer science and its relevance in today's world - Understanding the components of a computer system - Introduction to algorithms and problem-solving techniques - Exploration of programming languages and their uses Module 2: Computer Hardware - Understanding the main components of a computer system, including CPU, memory, and storage devices - Exploring input and output devices and their functionalities - Understanding the role of operating systems and software in computer systems Module 3: Software Development - Introduction to programming concepts and languages (e.g., Python or Java) - Understanding variables, data types, and operators - Building algorithms and logical reasoning skills - Introduction to flowcharts and pseudocode - Implementation of simple programs and debugging techniques Module 4: Data Representation - Understanding binary, hexadecimal, and denary number systems - Representation of text, images, and sound using binary - Introduction to data compression and encryption techniques Module 5: Computer Networks - Understanding the basics of computer networks, including LAN, WAN, and the Internet - Introduction to network topologies, protocols, and security - Exploring the impact of digital communication on society Module 6: Cybersecurity and Ethical Issues - Understanding the importance of cybersecurity and data protection - Introduction to common threats and vulnerabilities - Exploring ethical issues related to computer science, such as privacy and intellectual property rights Module 7: Algorithms and Programming Techniques - Advanced programming concepts, including conditionals, loops, and functions - Introduction to sorting and searching algorithms - Exploring data structures, such as arrays and lists Module 8: System Architecture - Understanding the structure and function of a CPU - Introduction to memory hierarchy and cache - Exploring the Von Neumann architecture and its limitations Module 9: Computational Thinking and Problem Solving - Advanced problem-solving techniques using computational thinking - Introduction to algorithms for complex problems - Exploring algorithmic efficiency and optimization techniques Module 10: Exam Preparation and Revision - Reviewing key concepts covered throughout the syllabus - Practicing past exam questions and providing guidance on exam techniques - Supporting students with exam preparation strategies Please note that the duration and depth of each module can vary depending on the level of expertise required and the specific needs of the learners. Additionally, it's important to adapt the curriculum to the learners' proficiency levels, whether they are A Level/GCSE students or adult learners with different experience levels.

Imagine working in a company where you're privy to sensitive information, from employee details to confidential client contracts. Now, suppose you unintentionally disclose this information to an unauthorized person or party. The consequences could be dire, ranging from legal repercussions to reputational damage. To avoid such mishaps, it's crucial to understand the importance of Workplace Confidentiality. That's where our course, Workplace Confidentiality, comes in, providing you with the tools and knowledge to safeguard sensitive information and ensure Workplace Confidentiality. Learning Outcome: After completing this Workplace Confidentiality course, you are expected to - Develop an understanding of the importance of Workplace Confidentiality. Learn about business etiquette and types of Confidentiality in the workplace. Acquire skills in maintaining Workplace Confidentiality with co-workers. Prevent Workplace Confidentiality breaches and safeguard sensitive information. Understand how employers can protect Confidential information. The Workplace Confidentiality course equips you with the skills and knowledge needed to maintain Confidentiality in the workplace. Module 01 provides an introduction to the concept of Workplace Confidentiality, emphasising its importance in safeguarding sensitive information. Module 02 delves deeper into business etiquette and the various types of Workplace Confidentiality that exist in the workplace. The Workplace Confidentiality course provides guidance on how to maintain Confidentiality with co-workers in Module 04. Module 05 covers preventing Confidentiality breaches, empowering you to identify and mitigate risks. The final module, Module 06, focuses on how employers can protect Confidential information and provide guidance on how to handle breaches. Enrol in the Workplace Confidentiality course and gain the skills and knowledge to ensure the protection of sensitive information. Whether you're an employee handling confidential data or an employer aiming to create a culture of trust and confidentiality, this course will empower you to navigate the complexities of Workplace Confidentiality. Join us and become a guardian of information, preserving confidentiality and upholding the highest professional standards in the workplace. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Employees handling sensitive information in the workplace. Employers seeking to educate their workforce on Workplace Confidentiality. Anyone interested in enhancing their knowledge of Workplace Confidentiality. Career path Data Protection Officer: £30,000 - £60,000 per year Compliance Manager: £40,000 - £70,000 per year Privacy Officer: £25,000 - £50,000 per year IT Security Consultant: £35,000 - £70,000 per year Risk Management Specialist: £30,000 - £60,000 per year.

Highlights of the Course Course Type: Online Learning Duration: 2 Hours 19 Minutes 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 Windows 10 Understand the core competencies and principles of Windows 10 Explore the various areas of Windows 10 Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert Windows 10 user Using Windows 10 - Know the Tools to Get Things Done! Course Master the skills you need to propel your career forward in Windows 10. This course will equip you with the essential knowledge and skillset that will make you a confident Windows 10 user and take your career to the next level. This comprehensive Windows 10 course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this Windows 10 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 Windows 10 practice and equip you with the essential skills, confidence and competence to assist you in the Windows 10 industry. You'll gain a solid understanding of the core competencies required to drive a successful career in Windows 10. 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 Windows 10 user or for people who are aspiring to specialise in Windows 10. Enrol in this Windows 10 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 Windows 10 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 Windows 10 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 Windows 10 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 Windows 10 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 Windows 10 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. Course Curriculum Accessing Windows 10 Introduction 00:01:00 Sign in to Windows 10 - Introduction 00:01:00 Sign in to Windows 10 00:04:00 Navigate the Windows 10 Desktop - Introduction 00:03:00 Navigate The Windows 10 Desktop 00:03:00 Use the Start Menu 00:04:00 Using Windows Universal Apps and Desktop Applications Use Desktop Applications - Introduction 00:01:00 Use Desktop Applications 00:04:00 Set Up The Mail App 00:03:00 Use Windows Universal Apps 00:05:00 Multitask With Open Apps - Introduction 00:01:00 Multitask With Open Apps 00:05:00 Install an App from Windows Store - Introduction 00:01:00 Install an App from Windows Store 00:04:00 Managing Files and Folders Manage Files and Folders With File Explorer - Introduction 00:01:00 Manage Files and Folders With File Explorer 00:04:00 Upload and Share Files With OneDrive - Introduction 00:01:00 Set-Up OneDrive 00:02:00 Save Files on OneDrive for Business 00:02:00 AutoSave and Version Management 00:03:00 Access OneDrive for Business Va The File Explorer 00:10:00 Access OneDrive For Business Via Browser 00:05:00 Advanced Settings 00:07:00 Using Cortana and Edge Get to Know Cortana 00:01:00 Customize Cortana's User Interface 00:07:00 Search with Cortana 00:02:00 Use Cortana as a Personal Assistant 00:04:00 Browser the Web with Edge - Introduction 00:01:00 Browse the Web with Edge 00:05:00 Customize Edge 00:04:00 Customizing the Windows 10 Environment Customize the Windows 10 Environment 00:01:00 Change Start Menu Options 00:02:00 Work with Tiles and Tile Groups 00:04:00 Customize the Desktop and Lock Screen 00:04:00 Installing and Removing Devices Manage Printers - Introduction 00:01:00 Print a Document 00:05:00 Manage Peripheral Devices - Introduction 00:01:00 Manage Peripheral Devices 00:02:00 Using Windows 10 Security Features Manage Passwords and privacy Levels - Introduction 00:01:00 Set New Password Types 00:05:00 Change Privacy Settings 00:03:00 Use Windows Defender - Introduction 00:01:00 Check for Viruses in Windows Defender 00:02:00 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

Study session for professionals supporting someone with Huntington's disease. This study session is aimed at professionals supporting someone with Huntington's disease either at home or in a care setting and will give a general overview of Huntington's disease. We will cover topics such as: What is Huntington's disease? What are the symptoms? What might help when supporting someone who has Huntington's disease? There will be opportunities for questions. The session will take up to an hour and a half. For more information on what information we collect and how we use it when booking onto one of our events, please see our privacy policy on our website.

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