1431 Privacy courses delivered Online

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.

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.

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.

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.

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.

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

Level 3 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! Protect Your Business and Customers with GDPR Compliance, Robust Document Control, and Cutting-Edge Cyber Security Solutions. Safeguard data, build trust, and stay ahead of threats in the digital age. If you aim to enhance your GDPR skills, our comprehensive GDPR course is perfect for you. Designed for success, this GDPR course covers everything from basics to advanced topics in GDPR. Each lesson in this GDPR course is crafted for easy understanding, enabling you to become proficient in GDPR. Whether you are a beginner or looking to sharpen your existing skills, this GDPR is the ideal choice. With our GDPR exclusive course, you will get PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. Enrol now and get started! Learning outcomes of this course: Understand UK GDPR regulations for data protection compliance. Master document control principles for efficient record management. Develop cybersecurity skills to safeguard sensitive data. Enhance data privacy, document handling, and risk assessment skills. Implement practical cybersecurity measures to protect digital assets. Contribute to a secure and compliant work environment with combined expertise in GDPR, document control, and cybersecurity. Why Choose Our Course: Get instant access to this GDPR course. Learn GDPR from anywhere in the world GDPR is affordable and simple to understand GDPR is entirely online, interactive lesson with voiceover audio Lifetime access to the GDPR course materials GDPR comes with 24/7 tutor support *** Course Curriculum *** Here is the curriculum breakdown of the General Data Protection Regulation (GDPR) course: Module 01: The Purpose and Principles of the UK GDPR Module 02: The Legal Foundations of GDPR Module 03: The Governance of GDPR Module 04: Protecting Personal Data Module 05: Exemptions to GDPR Module 06: International Transactions and National Security CPD 130 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the GDPR & Document Control is advised to take this General Data Protection Regulation (GDPR) Awareness course. Requirements You will not need any prior background or expertise to enrol in this GDPR course. Career path After completing this GDPR course, you are to start your career or begin the next phase of your career. Certificates Certificate Accredited by CPD QS Hard copy certificate - Included GDPR UK Training Document Control Diploma in Cyber Security Certificate Accredited by CPD QS Digital certificate - Included GDPR UK Training Document Control Diploma in Cyber Security

This course aims to provide a comprehensive understanding of agency and sales law, with a focus on the formation of agency relationships, different types of agency relationships, the distinction between employees and independent contractors, fiduciary duties, and liability for torts of agents. The course will also cover product liability, sales of goods, legal issues in international transactions, the nature of securities regulation, and franchising licensing outside the technological context. Upon completion of this course, students will have a solid foundation in the legal principles governing agency and sales, and will be equipped with the knowledge necessary to navigate the legal landscape in these areas. After the successful completion of the course, you will be able to learn about the following, Agency: Formation of agency Relationship. Types of agency relationship. Distinguish between employees and independent contractors. Fiduciary duty. Liability for torts of agents. Sales, Licensing, and E-Commerce: Product Liability Sales of goods. Legal issues in international transactions. The Nature of Securities Regulation. Franchising: Licensing outside the technological context. The aim of this course is to provide an understanding of the legal principles governing agency relationships and sales transactions in various contexts, including e-commerce, international trade, and franchising. By the end of this course, students will be able to identify the different types of agency relationships, distinguish between employees and independent contractors, recognize fiduciary duties, and understand the liability for torts of agents. Students will also gain knowledge on product liability, sales of goods, legal issues in international transactions, securities regulation, and franchising, including licensing outside of the technological context. This course aims to provide students with an in-depth understanding of the legal principles that govern agency relationships and sales transactions in diverse contexts, such as e-commerce, international trade, and franchising. By the end of this course, students will have the ability to distinguish between different types of agency relationships, identify the differences between employees and independent contractors, acknowledge fiduciary duties, and comprehend the liability for agents' torts. Students will also acquire knowledge on product liability, sales of goods, legal issues in international transactions, securities regulation, and franchising, including licensing beyond the technological domain. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Legal Considerations in E-Commerce, Licencing and Sales Self-paced pre-recorded learning content on this topic. Legal Considerations In E-Commerce Licencing And Sales Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. E-commerce Legal Counsel Licensing Attorney Sales Contract Specialist Corporate Counsel for E-Commerce International Trade Lawyer Franchise Attorney Intellectual Property Counsel Online Marketplace Legal Advisor Commercial Transactions Lawyer Consumer Protection and Privacy Attorney Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Overview Show your commitment to Social Care and the Community by training to safeguard vulnerable adults. This Dignity and Safeguarding in Adult Health and Social Care course will help you understand the responsibilities of social care and the circumstances of some vulnerable adults in the system. The course provides all the knowledge and tools you will need to successfully care for vulnerable adults and ensure that their self-respect and privacy is acknowledged at all times. It has been crafted to ensure that the full responsibilities and ethics of Social Care work is underlined and that the principles behind it understood, as signs of abuse and neglect will also be explained and identified. 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 Dignity and Safeguarding in Adult Health and Social Care. It is available to all students, of all academic backgrounds. Requirements Our Dignity and Safeguarding in Adult Health and Social Care is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 12 lectures • 06:41:00 total length •Module 1: Introduction to Health and Social Care: 00:19:00 •Module 2: Communication and its Relevance: 00:42:00 •Module 3: Rights and Responsibilities as a Health and Social Care Worker: 00:38:00 •Module 4: Role as A Caregiver and Healthcare Professional: 00:26:00 •Module 5: Working in Health and Social Care; Promoting Equality, Diversity and Rights: 00:49:00 •Module 6: Important Principles and Policies in Health and Social Care Work: 00:23:00 •Module 7: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 1: 00:50:00 •Module 8: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 2: 00:48:00 •Module 9: Safeguarding Vulnerable Individuals: 00:52:00 •Module 10: Health and Safety Responsibilities: 00:51:00 •Module 11: Risk Management in Health and Social Care: 00:03:00 •Assignment - Dignity and Safeguarding in Adult Health and Social Care: 00:00:00