1434 Privacy courses

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

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.

Are you passionate about making a difference in mental health care? Do you want to become a leader in ensuring the rights and dignity of individuals are upheld? Our MCA (Mental Capacity Act) and DOLS (Deprivation of Liberty Safeguards)in Mental Health Care course is designed for professionals like you, who aspire to elevate their skills and knowledge in this crucial field. According to NHS Jobs a MCA advisor role can earn from £35,000 to £40,000 in a year depending on qualification, experience, location and other factors. Don't miss out on this opportunity to enhance your professional skills and make a significant impact in mental health care. Join our MCA & DOLS in Mental Health Care course today and become a champion for those in need. Key Features: CPD Certified MCA & DOLS of Mental Health Care course Developed by Specialist Lifetime Access Course Curriculum of MCA & DOLS of Mental Health Care: Module 01: Understanding the Mental Capacity Act Module 02: Evaluating Mental Capacity Module 03: Decision-Making in the Best Interest Module 04: Advocacy and Future Planning Module 05: Administering Care or Treatment for Individuals Lacking Capacity Module 06: Privacy and Documentation Practices Module 07: Government Bodies and Services Established by MCA Act 2005 Module 08: Intersection with Legislation, Policies, and Procedures Module 09: Safeguards Against Deprivation of Liberty Module 10: Authorised Deprivation Situations Module 11: Legal Foundations of Deprivation of Liberty Safeguards Module 12: The Mental Capacity Act (2005) and Safeguards During a Pandemic Module 13: Liberty Safeguards (LPS) Implementation Learning Outcomes: Understanding MCA Principles: Comprehend the foundational aspects of the Mental Capacity Act (MCA). Assessing Mental Capacity: Develop skills in systematically evaluating an individual's mental capacity. Best Interest Decision-Making: Apply ethical considerations in making decisions in the best interest. Advocacy and Planning: Demonstrate proficiency in advocating for individuals and facilitating future planning. Administering Care Legally: Execute lawful administration of care and treatment for individuals lacking capacity. Legal Safeguards Awareness: Acquire knowledge on legal safeguards and deprivation of liberty situations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This MCA & DOLS of Mental Health Care course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of MCA & DOLS of Mental Health Care. Moreover, this course is ideal for: Healthcare professionals in mental health care settings. Social workers dealing with vulnerable populations. Legal professionals specialising in mental health Care legislation. Administrators responsible for mental health care facilities. Individuals seeking comprehensive understanding of mental health Care legislation. Anoyone who wants to know more about MCA & DOLS of Mental Health Care. Requirements There are no requirements needed to enrol into this MCA & DOLS of Mental Health Carecourse. We welcome individuals from all backgrounds and levels of experience to enrol into this MCA & DOLS of Mental Health Care course. Career path After finishing this MCA & DOLS of Mental Health Care course you will have multiple job opportunities waiting for you. Some of the Job sectors of MCA & DOLS of Mental Health Care are: Mental Health Care Advocate Capacity Assessment Officer Mental Health Policy Analyst Deprivation of Liberty Safeguards Coordinator Mental Health Legislation Consultant Future Planning and Advocacy Specialist Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

🚀 Unveiling Dash: Your Ultimate Guide to Cryptocurrency Mastery! 🌐 Are you ready to delve into the exciting world of cryptocurrencies? Introducing 'Dash - The Alternative to Bitcoin,' your passport to unlocking the potential of digital currency like never before! 📈 Why Choose Dash? While Bitcoin captured the world's attention, Dash has emerged as a powerful alternative offering lightning-fast transactions, enhanced privacy, and unparalleled scalability. This comprehensive course is your gateway to mastering the intricacies of Dash, empowering you to navigate the crypto landscape with confidence.     🔍 What You'll Learn: ️ Understanding Dash: Explore its technology, consensus mechanism, and the revolutionary features that set it apart. ️ Wallet Setup & Security: Safely manage your Dash holdings and learn best practices for securing your digital assets. ️ Mastering Transactions: Dive deep into Dash's instant and private transactions, empowering you to transact seamlessly. ️ Investing and Trading Strategies: Gain insights into effective investment strategies and capitalize on Dash's market potential. ️ Building with Dash: Discover how to develop applications and leverage Dash's platform for innovative projects. 🎓 Why Enroll in Our Course? 🌟 Expert Guidance: Led by industry experts with years of experience in cryptocurrency, ensuring top-notch education. 🌟 Comprehensive Curriculum: Covering fundamentals to advanced strategies, tailored for both beginners and seasoned enthusiasts. 🌟 Interactive Learning: Engage with interactive modules, quizzes, and real-life case studies for a dynamic learning experience. 🌟 Community & Support: Join a vibrant community of like-minded individuals, and receive ongoing support from mentors.     💡 Who Is This Course For? Whether you're a curious beginner or a seasoned investor seeking to expand your crypto portfolio, this course caters to all levels of expertise. Entrepreneurs, developers, traders, or anyone passionate about the crypto revolution will find immense value in this program. 🎉 Unlock the Potential of Dash Today! Don't miss this opportunity to position yourself at the forefront of the cryptocurrency revolution. Join us on this exciting journey to master Dash and revolutionize your understanding of digital currencies!     Course Curriculum

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.

Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by: CPD UK & Quality License Scheme Tutor Support: Unlimited support via email, till you complete the course Recognised Certification Accepted by thousands of professional bodies Start Anytime: With 1 year access to the course materials Online Learning: Learn from anywhere, whenever you want This course will elevate your digital marketing skills. Designed for advanced learners, this course dives deeper into strategic techniques and cutting edge trends of digital advertising. You will understand advanced ad targeting and the use of various digital platforms from this course. This course at a glance Accredited by CPD UK Endorsed by Quality Licence Scheme Recognise the key elements of digital advertising Learn the fundamentals of advertising Learn the benefits of digital advertising and marketing Understand digital advertising and marketing strategies Learn about programmatic advertising, real time bidding and the automated buying process. Recognise the importance of mobile marketing and understand its operation Understand what are the waterfalls and header bidding and how they are changing advertising Know how to collect data and use it Learn about verification and viewability Know about the future of digital advertising and marketing Why Digital Advertising and Marketing Course 201 right for you? This popular digital advertising and marketing 201 course will help you recognise the key elements of digital marketing and advertising by helping you understand what is digital marketing and advertising. You will also recognise the advantages of marketing and digital advertising by taking this comprehensive online course. This flexible digital advertising and marketing 201 course will also provide you with an understanding of programmatic advertising, real time bidding and the automated buying process. You will also acquire knowledge about what are waterfalls and header bidding and how they are changing advertising and much more with this extensive online course. By the end of the course, you will obtain the skills required to gain an understanding of what is digital advertising and marketing and will also gain the expertise required to become a confident marketer. Digital Advertising and Marketing Course 201 Details Accredited by CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.   The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Course Curriculum Introduction Introduction Programmatic Advertising -real Time Bidding and the Automated Buying Process Programmatic Advertising Explained - Intermediate Digital Marketing Skillset RTB (Real Time Bidding) Explained - Intermediate Digital Marketing Skillset Waterfalls & Header Bidding - What They Are & How They Are Changing Advertising Traditional Waterfalls - Advance Level Digital Marketing Skillset Header Bidding - How Publishers Increase Revenue From Their Ad Inventory Header Bidding in Mobile - Advance Level Digital Marketing Skillset - Publishers Mobile - SDKs & Trends: Mobile Marketing is big Business. Learn How it Works SDKs (Standard Development Kit) - Mobile Marketing Must-Haves Mobile Trends - Understand The Grow of Mobile in Digital Marketing Efforts Verification & Viewability Ad Verification - MOAT/IAS/Double Verify and Other Ad-Tech Platforms Bots & Fraud - Identify and Prevent Fraud in Digital Marketing and Advertising Ad Viewability - How to Identify When a Real Human Sees Your Ad Ads.Txt - A New Way to Identify and Prevent Fraud Data Collection & Use Types of Data Advertisers Collect - Google/Amazon/Facebook & Others Laws & Privacy Concerns Around Data Data Management Platforms & How Advertisers Use Them The Future Google's EBDA & Amazon's TAM - The Future of Digital Advertising & Marketing Thank You Thank You for Taking The Course Who should take this course? This comprehensive digital advertising and marketing 201 course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of digital advertising and marketing. Entry Requirements There are no academic entry requirements for this 'digital advertising and marketing 201: top topic & trends ' course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This digital advertising and marketing 201 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%. Certification Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

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

Explore the diverse realm of Big Data Analytics, delving into data mining, machine learning, and natural language processing. Uncover the ethical and legal dimensions, and gain practical insights through real-world case studies. Discover types of Big Data analytics, delve into the data mining process, and apply machine learning techniques. Learn about natural language processing principles, assess the impact across industries, and navigate ethical considerations. After the successful completion of this course, you will be able to: Identify the types of Big Data analytics, such as descriptive, predictive, and prescriptive analytics. Understand the data mining process and its role in Big Data analytics. Apply machine learning techniques like classification, regression, and clustering to analyse Big Data. Describe the principles and applications of natural language processing in Big Data analytics. Recognize the benefits and limitations of Big Data analytics in different industries, such as healthcare, finance, and marketing. Evaluate the accuracy and reliability of Big Data analytics results. Understand Big Data analytics's ethical and legal considerations, such as data privacy and intellectual property rights. Analyze case studies and examples of successful implementation of Big Data analytics in different industries, such as predicting customer churn, fraud detection, and personalized medicine. Immerse yourself in Big Data Analytics, mastering techniques to extract valuable insights. From predictive modelling to ethical considerations, this course empowers you with the skills to excel in a data-driven landscape, with applications ranging from healthcare to finance. 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. Big Data Analytics, Techniques and Models Self-paced pre-recorded learning content on this topic. Big Data Analytics 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 an 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 who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Big Data Analyst Data Scientist Machine Learning Engineer Business Intelligence Analyst Predictive Analytics Expert Information Architect Data Engineer AI Solutions Architect 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