4506 Objective courses in Bradford delivered Online

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.

This personal development course helps the individual to overcome difficult situations and go on to succeed in their chosen career path or business endeavour. Achievement comes when one is prepared for it, and this course is intended to set you up for it. Without being prepared, achievement won't approach you, event even if it does, it will overpower you, and you may wind up abusing it. Description: This course will help you settle on witting choices in your self-awareness travel and boldly development. This implies bearing the development to take a hundred percent duty regarding your health, your occupation, your financial assets, your connections, your feelings, your propensities, and your otherworldly thoughts. It calls for having a deep look at yourself, intentionally picking what kind of individual you truly are within, and after that getting your outside reality to be consistent with your inside being. The objective is to help you accomplish outstanding effectiveness while maintaining internal adjust, where your ideas, emotions, activities, and attitudes are all working on the whole to create the life you truly need. This self-development course will fill in as an awesome begin if you're beginning off in self-awareness. They'll put you on the right track to be responsible for any circumstance, achieve objectives and improve as a person. Who is the course for? Entrepreneurs Professionals Small Business Owners Students Employees Employers Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: Personal development coaches can specialize in: Career and educational development Creativity enhancement Financial planning Health and fitness Leadership Relationship counselling Spiritual growth Therapeutic Coaching. Practical Personal Development Course - Updated Version Module 1: Overcoming Procrastination (I) 00:10:00 Module 2: Overcoming Procrastination (II) 00:09:00 Module 3: Four P's of Goal Setting 00:08:00 Module 4: Improving Motivation 00:10:00 Module 5: Wise Time Management 00:09:00 Module 6: Tips for Completing Tasks 00:08:00 Module 7: Increase Your Productivity 00:08:00 Module 8: 'To Do' List Characteristics 00:08:00 Module 9: Smart Goals 00:09:00 Module 10: Mistakes Will Happen 00:10:00 Module 11: The Problem Solving Method 00:10:00 Module 12: Information Gathering 00:04:00 Module 13: Problem Definition 00:12:00 Module 14: Preparing for Brainstorming 00:11:00 Module 15: Generating Solutions (I) 00:04:00 Module 16: Generating Solutions (II) 00:12:00 Module 17: Analyzing Solutions 00:10:00 Module 18: Selecting a Solution 00:08:00 Module 19: Planning Your Next Steps 00:08:00 Module 20: Recording Lessons Learned 00:08:00 Module 21: What Does Self-Confidence Mean To You? 00:15:00 Module 22: Obstacles to Our Goals 00:07:00 Module 23: Communication Skills 00:11:00 Module 24: The Importance of Goal Setting 00:11:00 Module 25: Feeling the Part 00:09:00 Module 26: Looking the Part 00:07:00 Module 27: Sounding the Part 00:09:00 Module 28: Powerful Presentations 00:07:00 Module 29: Coping Techniques 00:08:00 Module 30: Dealing with Difficult Behavior 00:08:00 Module 31: Time Management 00:36:00 Module 32: Stress Management 00:20:00 Module 33: Communication Skills 00:25:00 Module 34: Negotiation Techniques 00:17:00 Module 35: Conflict Management 00:15:00 Practical Personal Development Course - Old Version Healthy Abundance Mindset 01:00:00 Meditation 01:00:00 Goal Setting 01:00:00 Center Yourself 01:00:00 Get Over Your Fear 01:00:00 Be Grateful 01:00:00 Visualize 01:00:00 Wrapping Up 00:15:00 Mock Exam Mock Exam- Practical Personal Development Course 00:20:00 Final Exam Final Exam- Practical Personal Development Course 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Pain Management - Solve Your Back Pain

Description: This VMware Ultimate Bootcamp vSphere 4 will help you to learn advanced virtualization concepts and explores the VMware vSphere 4.0 product suite. The objective is to instill the knowledge required for you to do your job efficiently and effectively, starting from installation of the product to real-world troubleshooting issues. The focus is not limited only to learning and harnessing the power of VMware but the entire concept of virtualization, and other 3rd party tools and technologies that will enhance VMware capabilities and increase the student's virtualization expertise. You will be introduced with Expert Lectures, Certificate Of Completion, PowerPoint Visuals, Demonstrations, Review Quizzes, Mobile Access, Workbooks, and more. This comprehensive series will prepare you to become a certified professional virtualization expert. You can join this course to Experience the comprehensive content included in multiple VMware vSphere. Assessment & Certification: To achieve a formal qualification, you are required to book an official exam separately with the relevant awarding bodies. However, you will be able to order a course completion CPD Certificate by paying an additional fee. Hardcopy Certificate by post - £19 Soft copy PDF via email - £10 Requirements Our VMware Ultimate Bootcamp vSphere 4 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Series Introduction and Methodology Series Methodology 00:15:00 Virtualization Overview Virtualization Overview 00:37:00 Planning and Installing ESX Planning the ESX Deployment 00:14:00 vSphere 4 Deployment Guidelines 00:38:00 ESX Installation 00:06:00 ESX Management 00:06:00 Configuring Hostname Resolution and NTP 00:03:00 Troubleshooting ESX Server 00:08:00 Tools to Administer ESX Overview of 3rd Party Tools 00:31:00 ESX Configuration Commands 00:26:00 Configuring Networking Creating and Modifying Virtual Networks 00:46:00 Creating and Modifying Virtual Networks Using CLI 00:08:00 Configuring Storage Storage Concepts 00:13:00 iSCSI Storage (GUI and Command Line) 00:21:00 Fibre Channel Storage 00:05:00 VMFS Datastores (GUI and Command Line) 00:24:00 NAS Storage and NFS Datastores (GUI and Command Line) 00:12:00 Raw Device Mapping (RDM) 00:04:00 vCenter Server and Licensing Licensing 00:09:00 vCenter Server Installation 00:11:00 vCenter Server Inventory 00:04:00 Managing vCenter Server 00:11:00 Planning vCenter Server Deployment 00:10:00 Troubleshooting vCenter Server and Database 00:06:00 Troubleshooting the vSphere Client 00:03:00 VM Creation Configuration and Snapshots Create a VM 00:26:00 Create Multiple VMs, Templates and Clones 00:16:00 Virtual Appliances 00:04:00 VMware Converter (P2V - V2V) 00:15:00 Manage VMs 00:19:00 VM Startup Shutdown 00:03:00 VM Snapshots 00:08:00 Web Access 00:08:00 VM Troubleshooting 00:05:00 Security and Permissions Controlling User Access and Passwords 00:22:00 ESX Active Directory (AD) Integration 00:03:00 Managing Firewalls 00:07:00 SSH Access 00:06:00 Running Elevated Commands (su sudo setuid setgid) 00:08:00 VMsafe and vShield Zones 00:04:00 Advanced ESX and vCenter Management Configuring Vmotion 00:16:00 Storage VMotion 00:07:00 Distributed Resource Scheduler (DRS) Cluster 00:13:00 Resource Pools and Monitoring 00:24:00 vNetwork Distributed Virtual Switches 00:08:00 Host Profiles 00:03:00 Linked Mode Group of vCenter Servers 00:03:00 Patching and Upgrading ESX Patching ESX Server 00:04:00 Patching with Update Manager 00:14:00 Upgrades and Migrations 00:14:00 Disaster Recovery and Backup Site Recovery Manager (SRM) 00:03:00 High Availability (HA) 00:21:00 VM Fault Tolerance 00:04:00 Microsoft Clustering 00:03:00 Backup Strategies 00:08:00 Using VCB Command Line Utilities 00:06:00 VMware Data Recovery 00:05:00 Third Party Backups 00:06:00 Server and VM Monitoring Tools for Optimization 00:28:00 VM Performance Monitoring 00:16:00 Configuring Alarms 00:07:00 ESX and vCenter Logs 00:14:00 Installing and Configuring ESXi ESXi Overview 00:04:00 ESXi Installation 00:06:00 ESXi Management 00:10:00 Mock Exam Mock Exam- VMware Ultimate Bootcamp vSphere 4 00:20:00 Final Exam Final Exam- VMware Ultimate Bootcamp vSphere 4 00:20:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description: This VMware Ultimate Bootcamp vSphere 4.1 will teach you advanced virtualization concepts and explore the VMware vSphere 4.1 product suite. The course objective is to install the knowledge required for you to do your job effectively and effectively, starting from installation of the product to real-world troubleshooting issues. The course focus is not limited only to learning and harnessing the power of VMware but the entire concept of virtualization, and other 3rd party tools and technologies that will enhance VMware capabilities and increase the student's virtualization expertise. In this course you will be introduced with Expert Lectures, Certificate of Completion, PowerPoint Visuals, demonstrations, Review Quizzes, Mobile Access, work books, and more. This course will help you to prepare yourself to become a certified professional virtualization expert. Assessment & Certification: To achieve a formal qualification, you are required to book an official exam separately with the relevant awarding bodies. However, you will be able to order a course completion CPD Certificate by paying an additional fee. Hardcopy Certificate by post - £19 Soft copy PDF via email - £10 Requirements Our VMware Ultimate Bootcamp vSphere 4.1 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Course Introduction and Methodology Learn IT! Do IT! Know IT! FREE 00:06:00 Virtualization Overview Why Virtualize 00:46:00 Planning and Installing ESX/ESXi Planning the ESX ESXi Deployment 00:12:00 vSphere 4.1 Deployment Guidelines 00:12:00 vSphere Hypervisor (ESXi) Installation 00:05:00 ESX Installation 00:20:00 Configuring Hostname Resolution and NTP 00:08:00 Troubleshooting ESX ESXi 00:11:00 Using Tools to Administer a VMware Environment Overview of 3rd Party Tools 00:10:00 ESX ESXi Management 00:21:00 Linux Command Review 00:07:00 Troubleshooting the vSphere Client (VIC) 00:02:00 Configuring Networking Creating & Modifying Virtual Networks 00:31:00 Creating & Modifying Virtual Networks Using CLI 00:27:00 Configuring Storage Storage Concepts 00:26:00 iSCSI Storage (GUI & Command Line) 00:38:00 Fibre Channel Storage 00:09:00 VMFS Datastores (GUI & Command Line) 00:29:00 NAS Storage and NFS Datastores (GUI & Command Line) 00:11:00 Raw Device Mapping (RDM) 00:04:00 vCenter Server 4.1 and Licensing Licensing 00:16:00 vCenter Server Installation 00:13:00 vCenter Server Inventory 00:34:00 Managing vCenter Server 00:08:00 Planning vCenter Server Deployment 00:07:00 Troubleshooting vCenter Server and Database 00:12:00 VM Creation, Configuration, and Snapshots Create a VM 00:27:00 Create Multiple VMs, Templates, & Clones 00:10:00 Virtual Appliances 00:22:00 VMware Converter (P2V - V2V) 00:20:00 Manage VMs 00:22:00 Virtual Machine Startup/Shutdown 00:07:00 Virtual Machine Snapshots 00:18:00 Web Access 00:13:00 Virtual Machine Troubleshooting & Best Practices 00:03:00 Security and Permissions Controlling User Access and Passwords 00:39:00 ESX ESXi Active Directory (AD) Integration 00:10:00 Managing Firewalls 00:11:00 SSH Access 00:06:00 Running Elevated Commands (su, sudo, setuid setgid) 00:07:00 VMsafe and vShield Zones 00:09:00 Server and VM Monitoring Optimizing Resources 00:31:00 Performance Monitoring 00:32:00 Configuring Alarms 00:07:00 ESXi ESX and vCenter Logs 00:10:00 Advanced ESX/ESXi and vCenter Management Storage Views & Topology Maps 00:09:00 Storage vMotion 00:13:00 Configuring vMotion 00:16:00 Distributed Resource Scheduler (DRS) Cluster 00:22:00 vNetwork Distributed Virtual Switches 00:27:00 Host Profiles 00:10:00 Linked Mode Group of vCenter Servers 00:04:00 Patching and Upgrading ESX Patching ESX ESXi Standalone Hosts 00:07:00 Patching with Update Manager 00:24:00 Upgrades and Migrations 00:18:00 Disaster Recovery and Backup Site Recovery Manager (SRM) 00:07:00 High Availability (HA) 00:19:00 VM Fault Tolerance 00:06:00 Microsoft Clustering 00:04:00 Backup Strategies 00:01:00 Using VCB Command Line Utilities 00:05:00 VMware Data Recovery 00:24:00 Third Party Backups 00:07:00 Mock Exam Mock Exam- VMware Ultimate Bootcamp vSphere 4.1 00:20:00 Final Exam Final Exam- VMware Ultimate Bootcamp vSphere 4.1 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Graphic Design: Photo Manipulation Training will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Graphic Design: Photo Manipulation Training will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Graphic Design: Photo Manipulation Training and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Graphic Design: Photo Manipulation Training is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Graphic Design: Photo Manipulation Training. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The Graphic Design: Photo Manipulation Training will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Photo Manipulation: Graphic Design Training Course Introduction 00:01:00 Introduction to Photoshop 00:08:00 Layer Mask 00:09:00 Smart Objective 00:15:00 Assembling Your Stock 00:24:00 Blending Your Stock 00:14:00 Matching Lights 00:12:00 Adding Light Effect 00:13:00 Correcting the Lights 00:13:00 Adjusting the Colours 00:12:00 Colour Grading 00:07:00 Final Adjustments 00:14:00 Exporting Your Artwork 00:18:00 Course Materials 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Embark on a journey to uncover the labyrinthine world of digital financial security with the 'Hacked Credit and Debit Card Recovery Course'. Navigate through the depths of the web, from understanding the diverse range of websites to delving deep into the dark corridors of the internet, equipping yourself with invaluable cyber intelligence. Through this course, you'll decode various threat perceptions, familiarise yourself with card fraud intricacies, and master the art of information recovery - all tailored to ensure your digital financial transactions remain impervious to threats. Learning Outcomes Understand the fundamentals of cyber threats and their impact on digital financial transactions. Differentiate between various website types and their susceptibility to cyber-attacks. Analyse threat actors and their modus operandi in the cyber realm. Gain insights into the deep and dark web and the tools necessary for information recovery. Acquire proficiency in information handling procedures to maintain digital financial security. Why buy this Hacked Credit and Debit Card Recovery Course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Hacked Credit and Debit Card Recovery Course there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Hacked Credit and Debit Card Recovery Course for? Individuals keen on enhancing their understanding of digital financial security. Banking and finance professionals looking to fortify their defence mechanisms. Cybersecurity enthusiasts aiming to delve into card fraud detection and prevention. Internet users wanting to safeguard their online financial transactions. Tech-savvy individuals eager to explore deep and dark web intelligence. Prerequisites This Hacked Credit and Debit Card Recovery Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Hacked Credit and Debit Card Recovery Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Cyber Security Analyst: £35,000 - £55,000 Fraud Detection Analyst: £30,000 - £50,000 Dark Web Researcher: £40,000 - £65,000 Information Security Officer: £45,000 - £70,000 Threat Intelligence Specialist: £50,000 - £75,000 Financial Security Consultant: £55,000 - £80,000 Course Curriculum Unit 01: Introduction Introduction & Objective 00:01:00 Unit 02: Types of Website Types of Website 00:01:00 Surface Web 00:01:00 Deep Web 00:01:00 Dark Web 00:03:00 2016 - 2017 Profit Comparison from 5000 00:01:00 Intelligence Agency Web 00:01:00 Quantum Computers 00:01:00 Polymeric Falcighol Derivation 00:01:00 Graphical representation 00:01:00 Unit 03: Threat Perception Threat Perception 00:01:00 Threat Actor 00:01:00 Threat Actor-Compared to a Hacker Or Attacker 00:01:00 Is the Dark Net Market gone? 00:03:00 Unit 04: Card Fraud Card Fraud 00:04:00 Card-Not-Present Fraud (CNP) 00:02:00 Unit 05: Threat Ninja Threat Ninja 00:01:00 Threat Ninja Architecture 00:03:00 Adaptive Assessment 00:01:00 Secure Coat Approach 00:01:00 Secure Coat's Value Proposition 00:02:00 Challenge 00:01:00 Unit 06: Threat Actor Analysis Threat Actor Analysis 00:00:00 Kuchinoni - ATM Theft 00:01:00 Insider Threats 00:01:00 Unit 07: Cyber Security Monitoring Cyber Security Monitoring 00:01:00 Protect Your Company via DDWM 00:01:00 Unit 08: Threat Life Cycle Threat Life Cycle 00:06:00 Unit 09: Information Leakage Points Information Leakage Points 00:04:00 Unit 10: Valuable Information Valuable Information 00:09:00 Unit 11: Area of Search Area of Search 00:01:00 Sell Cards at Social Media, Messenger, etc. Groups 00:01:00 Unit 12: Deep & Dark Web Intelligence and Information Recovery Deep & Dark Web Intelligence and Information Recovery 00:01:00 Unit 13: Banking Fraud Types Banking Fraud Types 00:01:00 Card Fraud- Nilson Report 00:01:00 U.S. Card Fraud Losses 00:01:00 Card Fraud Statistics 00:05:00 Unit 14: Threat Ninja Tool Secure Coat Threat Ninja Portal 00:01:00 Threat Ninja Demo 00:05:00 Unit 15: Information Handing Procedures Information Handling Procedures 00:01:00 Card Discard Life Cycle 00:02:00 Unit 16: Course Wrap up Congratulations and Course Summary 00:03:00 Thank you! 00:01:00 Unit 17: Bonus Rise in the price of the Crypto Coin 00:06:00 Assignment Assignment - Hacked Credit and Debit Card Recovery Course 00:00:00

Duration 2 Days 12 CPD hours This course is intended for vSphere administrators, architects, system engineers, and systems integrators who are responsible for the deployment or management of Site Recovery Manager Overview By the end of the course, you should be able to meet the following objectives: Summarize the components of Site Recovery Manager architecture Deploy and configure the Site Recovery Manager appliance Describe the principal disaster recovery topologies that are used with Site Recovery Manager Configure inventory and resource mappings Describe the storage replication options that are used with Site Recovery Manager Configure Site Recovery Manager to leverage array-based replication Describe VMware vSphere Replication™ functionality Describe the vSphere Replication architecture Deploy and configure vSphere Replication for use with Site Recovery Manager Build Site Recovery Manager protection groups based on vSphere Replication Build, edit, execute, test, and remove a recovery plan Perform a planned migration Perform reprotect and failback using Site Recovery Manager and vSphere Replication This hands-on training course gives experienced VMware vSphere© administrators the knowledge to install, configure, and manage VMware Site Recovery Manager? 8.2. This course also shows you how to write and test disaster recovery plans that use Site Recovery Manager. Course Introduction Outline the necessary information to effectively undertake this course Identify resources for additional information Overview and Architecture Discuss Site Recovery Manager architecture Examine disaster recovery options with Site Recovery Manager Describe Site Recovery Manager integration with VMware vSphere© ClientTM Discuss Site Recovery Manager features Analyze Site Recovery Manager storage policies and integration options Discuss how Site Recovery Manager supports several disaster recovery topologies identify use cases for Site Recovery Manager across various scenarios Describe how VMware Site Recovery? for VMware Cloud? on AWS integrates with Site Recovery Manager. Deploy & Configure Site Recovery Manager Identify the requirements to deploy Site Recovery Manager Discuss the benefits of the Site Recovery Manager appliance Explore vSphere deployment models Deploy the Site Recovery Manager appliance Navigate the Site Recovery Manager configuration user interface Describe the process to register Site Recovery Manager with VMware vCenter Server© Configure site pairing Identify how to perform updates to the Site Recovery Manager appliance Configuring Inventory Mappings Outline the importance of inventory mappings Examine configuration options for inventory mappings Outline the importance of placeholders Using Array-based Replication Describe array-based replication Discuss the role of the Storage Replication Adapter (SRA) Explore the relationship between devices, consistency groups and datastore groups Configure array pairs vSphere Replication Explore vSphere Replication architecture Examine vSphere Replication functionality Formulate use cases for vSphere Replication Deploy a vSphere Replication appliance Configure vSphere Replication appliance settings Configure a vSphere Replication appliance connection Deploy a vSphere Replication server Register a vSphere Replication server Replicating Virtual Machines with vSphere Replication Configure vSphere Replication for virtual machines Explain the importance of datastore mappings Describe vSphere Replication recovery point objective scheduling Describe the vSphere Replication disk transfer protocol Building Protection Groups Define protection group functionality Examine the differences between array-based protection groups, protection groups based on vSphere Replication, and storage profile protection groups Create a protection group Discuss protection group settings Remove protection from a virtual machine Create a storage profile protection group Building Recovery Plans Discuss recovery plan concepts List recovery plan steps Discuss network planning Discuss customization options in recovery planning Outline how to implement a recovery plan Investigate recovery plan options Testing and Running a Recovery Plan Discuss use cases for Site Recovery Manager Describe planned migration Identify Site Recovery Manager workflows Discuss the importance of VMware vSphere© VMFS resignaturing Examine Site Recovery Manager integration with various vSphere technologies Outline how to conduct a recovery plan test Perform recovery plan test execution Identify the effects on the storage layer during recovery steps Explain a recovery plan execution in planned migration or disaster recovery mode Understand storage layer changes for plan execution types Identify the recovery steps for each execution type Describe how to reprotect a data center Examine failback steps Monitoring and Troubleshooting Discuss Site Recovery Manager alarms Explore Site Recovery Manager history reports Configuring advanced Site Recovery Manager settings Describe how to modify logging levels Explain how to collect log bundles Identify key log locations

Even if You Have Past Trauma and Limiting Beliefs

Has the Computer System Validation Engineer left and you’ve been handed their responsibilities? Do the thoughts of your next audit fill you with dread? CSV can be frustrating but this program will show you how to manage electronic data in a regulated manufacturing/laboratory/clinical environment using the GAMP framework and ensure compliance with FDA’s 21 CFR Part 11, EU Annex 11 or other regulatory guidelines.