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This Bundle Consists of the following Premium courses: Course 01: Medical Law Course 02: Mental Health Laws and Awareness - Level 2 Course 03: Public Health Course 04: GDPR in Healthcare Course 05: Consent in Healthcare Course 06: European Medical Device Regulations Course 07: Medication Administration Level 4 Course 08: Medical Transcription Course 09: Vaccine Management Course 10: Epidemiology Course 11: Pandemic Disease Awareness Benefits you'll get choosing Apex Learning: Pay once and get lifetime access to 11 CPD courses Certificates, student ID for the title course included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules designed by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable experience without leaving your home So, enrol now in this Medical Law courseto advance your career! Curriculum of Medical Law Bundle Course 01: Medical Law Introduction Legislation on Access to Health, Medical Report, Treatment Legislation on Adult Support Legislation on Public Health and Health Service (Part 1, Part 2, Part 3, Part 4) Legislation on Coronavirus Legislation on Mental Health (Part 1 & Part 2) Legislation on Abortion Other Legislation (Part 1 & Part 2) Course 02: Mental Health Laws and Awareness - Level 2 The Mental Capacity Act Interface with Legislation, Policy and Procedures Deprivation of Liberty Safeguards The Mental Capacity Act (2005) and Deprivation of Liberty Safeguards During a Pandemic Mental Health Legislation and Services Liberty Protection Safeguards (LPS) Course 03: Public Health Introduction to Public Health Principles of Public Health Understanding Epidemiology Disease Control Understanding Measures of Disease Frequency Maternity and Childbirth Environment and Public Health Health System and Policy Public Health and Ethics Course 04: GDPR in Healthcare Introduction to GDPR GDPR and Healthcare Setting General Data Protection Regulations Explained Lawful Basis for Preparation Responsibilities and Obligations Electronic Medical Records Rights and Breaches Course 05: Consent in Healthcare Introduction to Covid-19 Understanding of Covid-19 as a Pandemic and How It Is Related to Zoonotic Diseases Like SARS and MERS The Strike of Pandemic Around the World and Great Britain Effects of Covid-19 on Human Life Diagnoses and Treatments Preventions and Social Measures to Be Taken Artificial Intelligence, Data Science and Technological Solutions against Covid-19 Consent Training in Healthcare Course An Introduction to Consent Information Regarding Consent Consent Training in Healthcare Course Best Interest Decision Making Assessing Capacity Providing Care or Treatment to People Who Lack Capacity Public Bodies and Services Created by MCA Act 2005 UK Acts in Relation to Consent Handling Complaints Regarding Consent Course 06: European Medical Device Regulations Overview to European Regulations on Medical Devices Essential Components of EU MDR Reporting Requirements and Identification Quality System in Medical Device Regulation Course 07: Medication Administration Level 4 Introduction to Safe Handling of Medicines Legislation and guidance of medication management Principles of Safe and Appropriate Handling of Medicines Medication Risk Assessment Guidance Handling Medicines in Social Care Settings Consent to Treatment Requirements for Specific Services Levels of Care and Support Procedure for Handling Medication The Six Rights of Medication Administration Covert Administration of Medication Recording Procedures Storage of Medication Transfer and Disposal of Medication Drug Formulation and Ways of Taking It Course 08: Medical Transcription Introduction to Medical Transcription The What, How, Who and Why of Medical Transcription Understanding Medical Reports Medical Language Boot Camp Formatting: The Basics Data Protection Course 09: Vaccine Management Introduction to Vaccine and Vaccination Types of Vaccine Immunology and Immunisation Vaccine Safety Communication Vaccines in Pandemic Paediatric Vaccination Course 10: Epidemiology Understanding Epidemiology Principles of Epidemiology Study Design Disease Occurrence Variation in Disease by Time, Place, and Person Epidemics and Outbreaks Measures of Risk and Disease Prevention Measures of Disease Frequency Role of Epidemiology in Public Health The Epidemiological Concept of Population Course 11: Pandemic Disease Awareness Introduction to Pandemics Pandemics: Risks, Impacts, and Mitigation The SARS - MERS Factors The Novel Coronavirus (2019-nCoV) 2020 Version of the SARS Zoonotic Diseases Pandemic Outbreaks from History (HIV/Aids), (Influenza), (Nipah Virus), (Smallpox), (Viral Meningitis), (Ebola Virus), (Zika Virus), (Plague) Mild Threats to Human-Being Pandemic Risks and Consequences Pandemic Mitigation: Preparedness And Response CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Medical Law Anyone from any background can enrol in this Medical Law bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. Requirements Medical Law Our Medical Law is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones, so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course; it can be studied in your own time at your own pace. Career path Medical Law Having this various expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Medical Law) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The de.livery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost
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This Data Analysis and Data Science Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Python for Data Analysis Course 03: Statistical Analysis Course 04: SQL NoSQL Big Data and Hadoop Course 05: Complete Microsoft Power BI 2021 Course 06: Data Analysis in Excel Level 3 Course Course 07: Data Analytics with Tableau Course 08: Basic Google Data Studio Course 09: Business Analytics Course 10: Complete Introduction to Business Data Analysis Level 3 Course 11: Business Intelligence and Data Mining Masterclass Course 12: Research Methods in Business Course 13: Computer Science: Graph Theory Algorithms Course 14: Data Protection and Data Security Level 2 Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning. How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course 02: Python for Data Analysis Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 03: Statistical Analysis Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Course 04: SQL NoSQL Big Data and Hadoop Module 01: Introduction Module 02: Relational Database Systems Module 03: Database Classification Module 04: Key-Value Store Module 05: Document-Oriented Databases Module 06: Search Engines Module 07: Wide Column Store Module 08: Time Series Databases Module 09: Graph Databases Module 10: Hadoop Platform Module 11: Big Data SQL Engines Module 12: Distributed Commit Log Module 13: Summary Course 05: Complete Microsoft Power BI 2021 Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date Course 06: Data Analysis in Excel Level 3 Course Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Course 07: Data Analytics with Tableau Module 01: Introduction to the Course Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Module 03: Project 2: Green Destinations (HR Analytics) Module 04: Project 3: Superstore (Sales Agent Tracker) Module 05: Northwind Trade (Shipping Analytics) Module 06: Project 5: Tesla (Stock Price Analytics) Module 07: Bonus: Introduction to Database Concepts Module 08: Tableau Stories Course 08: Basic Google Data Studio Module 01: Introduction to GDS Module 02: Data Visualization Module 03: Geo-visualization Module 04: A Socio-Economic Case Study Course 09: Business Analytics Module 01: What is business analysis? Module 02: Strategy analysis Module 03: Collaboration Module 04: Requirements analysis and Design definition Module 05: Requirements lifecycle management Module 06: Solution quality Module 07: Stakeholder management Module 08: BA Governance Module 09: Legal notes and Copyright information Course 10: Complete Introduction to Business Data Analysis Level 3 Module 1: Statistics Fundamentals Module 2: Data Analysis Module 3: Probability Module 4: Random Variables and Discrete Distributions Module 5: Continuous Distributions Module 6: Sampling Distributions Module 7: Confidence Interval Module 8: Hypothesis Testing with One Sample Module 9: Hypothesis Testing with Two Samples Module 10: The Chi-Square Distribution Module 11: F Distribution and One-Way ANOVA Module 12: Correlation analysis Module 13: Simple Linear Regression Analysis Course 11: Business Intelligence and Data Mining Masterclass Module 01: What is Business Intelligence? Module 02: Starting Case in understanding BI needs in diff phase of business Module 03: Decision Making Process and Need of IT systems Module 04: Problem Structure and Decision Support System Module 05: Introduction to BI Applications Module 06: Dashboard presentation systems Module 07: Different Types of Charts used in 131 Dashboards Module 08: Good Dashboard and BSC Module 09: Examples of Bad Dashboards 1 Module 10: Examples of Bad Dashboards 2 And much more... Course 12: Research Methods in Business Section 01: Applied Project & Research Methods in Business Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing Effectively Written Methodology Part 3 !@@ Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis Section 05: Comparing Findings to Literature and Writing the Final Paper Course 13: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid And much more... Course 14: Data Protection and Data Security Level 2 GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations CPD 165 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis and Data Science bundle. Requirements Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.
Duration 4.125 Days 24.75 CPD hours This course is intended for Managers or consultants seeking to prepare and support an organization in planning, implementing, and maintaining a compliance program based on the GDPR DPOs and individuals responsible for maintaining conformance with the GDPR requirements Members of information security, incident management, and/or business continuity teams Technical and compliance experts seeking to prepare for a data protection officer role Expert advisors involved in the security of personal data Overview Understand the concepts of the GDPR and interpret its requirements Understand the content and the correlation between the General Data Protection Regulation and other regulatory frameworks and applicable standards, such as ISO/IEC 27701 and ISO/IEC 29134 Develop the ability to inform, advise, and monitor compliance with the GDPR and cooperate with the supervisory authority Acquire the competence to perform the role and daily tasks of the data protection officer in an organizationit Considering that data breaches have become highly sophisticated in the recent years, the need for data protection has increased as well.Information Security is crucial to the success of any organization since it deals with the protection of sensitive data from unauthorized access, use, replication and destruction. As such, organizations should put in place measures and controls to manage and diminish Information Security risks and comply with GDPR requirements. In case organizations fail to comply with the GDPR requirements, the penalties can reach up to 2% of an organization?s annual turnover. Also, in case of more serious infringements, the penalties can amount to 4% of an organization?s annual revenue. The implementation of a Privacy Framework, on the other hand, will allow professionals to develop and implement reliable controls that are generally accepted.Becoming a Certified Data Protection Officer will enable you to acquire the necessary expertise to understand the risks that could have a negative impact on your organization and implement the required strategic responses based on the GDPR best practices, requirements and principles. Introduction to the GDPR concepts and principles Training course objectives and structure General Data Protection Regulation (GDPR) Core considerations for the GDPR Designation of the DPO and analysis of the GDPR compliance program Designation of the DPO Analysis of the GDPR compliance program Relationship with the top management Data protection policy Register of processing activities Risk management process DPO operations Data protection impact assessment Documentation management Evaluation of the data protection controls Data protection and technology Awareness, training, and communication Monitoring and continual improvement of GDPR compliance Incident management and personal data breaches Monitoring and measuring compliance Data protection internal audit Treatment of nonconformities Continual improvement Closing the training course
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Keeping up Employee Records Certification Each business needs to keep representative records. This permits the organization to continue to run easily. For instance, finance data is needed to guarantee that the representative gets the correct compensation, and delicate medical care data might be needed to work with sensible changes in the work environment. All businesses should know about their obligations under the law with respect to information assurance. In this course, you will figure out how to follow the General Data Protection Regulation (GDPR) and hold precise finance records for HMRC. You Will Learn: Why bosses need to gather data about their workers, and the sort of records they keep How long bosses can keep data about their workers The prerequisites for information stockpiling and taking care of under the GDPR Step by step instructions to keep proper finance records Step by step instructions to get ready for an assessment consistence check, and the results of neglecting to keep fitting records Advantages of Taking This Course: On the off chance that you work in a HR job, this course will assist you with keeping up precise, secure worker records On the off chance that you are liable for finance the executives at work, this course will help you meet your commitments as to HMRC guidelines In the event that you are a representative, this course will give you a knowledge into your privileges concerning how your information is overseen On the off chance that you are keen on business law, this course will give you an important understanding into the laws around worker information security
GDPR The GDPR, or General Data Protection Regulation, is a significant piece of EU and worldwide law. This guideline ensures the individual information of EU residents, illustrating the manners in which that organizations are mindful to store, secure and measure it. The objective of this course is to give you a profound comprehension of the actual enactment, just as how it might apply to any business that you work in. Albeit the GDPR is executed authoritatively in the EU, it is really a regarded guideline everywhere on the world. Also, any global business that manages the information of EU residents is as yet expected to hold fast to these guidelines. In this course, you will find out pretty much every one of the important definitions inside the GDPR just as how to appropriately conform to it. You Will Learn: About what the GDPR is and how it applies to individuals and entrepreneurs across the European Union and the world. About when the GDPR was presented and carried out, just as what it plans to secure. The seven primary standards of the GDPR. About what every standard oversees and how it is checked by law and guideline. About the dangers, fines and punishments for resistance of the GDPR. Advantages of Taking This Course: You will comprehend the significance of the GDPR as it identifies with business led in the EU or with connection to EU customers. You will actually want to demonstrate your comprehension of the GDPR on a CV and show potential managers that you comprehend this significant piece of guideline. Comprehend what information is and the various sorts of information administered by the GDPR See how you and your working environment are considered responsible lawfully for maintaining the GDPR. Comprehend the fines identifying with the GDPR and the advantages of sticking carefully to these guidelines.