7748 Objective courses

Listening is the more important part of every conversation no matter what your job title is What you'll learn Active listening Skills Listen with the intention to understand not respond Better understand people Support people through active listening Understand what can stop you from listening The Power of Silence This course includes: 2.5 hours on-demand video 4 downloadable resources Access on mobile and TV Certificate of completion Requirements No requirements Description "You're not listening to me!" If this is something your loved ones are telling you, it's time you learned to listen. Because being heard and understood (even if you don't agree with what is being said) is often better than giving advice no one asked for. In this course you will learn: Barriers to listening what is stopping you from listening and what can you do about it? STOP the distractions - how to channel your focus on to the other person Listen to not only words but also tone and body language. With so much information, your brain will only pick up what's important to you, especially if you are not fully present. There is so much more in listening than just hearing the words. ASK good questions. If you're not getting the answers you want, maybe it's time to change your questions. Reflect- repeating the other person's words back to them will show you are listening. You can also lead the conversation, if necessary, by repeating part of the sentence you want to learn more about. Silence. Not only to meditate but silence in a conversation can be very powerful. Giving time and space to think, reflect and answer your questions. Because there is a chance that whatever it is someone is telling you, might be the first time they hear their own story. The world would be a happier place if only we listen to each other more, instead of making assumptions ... So, click that button...what have you got to lose? PS: How do I know listening is powerful? As a Listening volunteer at Samaritans, the best calls are those I say very little and let the other person talk without directing the conversation where I would want it to go or offering advice I wasn't asked for. Who this course is for: Kind people wanting to help others Counsellors Coaches Therapist Wellbeing officers Community Support workers Managers Sales assistants

BCG, TB, BCG Scar Training, Mantoux Training, Learn about BCG and practical training

Are you hunting for an exciting and well-paid job? Do you want to improve your job hunting skills and give a huge boost to your career? Do you want to learn how to write a responsive CV that gets the results? If yes, then you have come to the correct place! Our Certificate in CV Writing is a great course that will guide you to write a professional CV from scratch and massively improve your job hunting perspectives. Do you ever wonder why people with less qualification always end up getting the job? It is always said that the most qualified individual gets the job, but the truth is, it's not the most qualified individual who lands the job. Instead, it's usually the most prepared individual who gets the job! And preparation for landing the job of your dreams starts at your resume. Our certificate in CV writing course will provide you with the knowledge and skills necessary to create an effective resume that will help you land the job of your dream. Your resume composing abilities will turn out to be all around sharpened and your resume will be calibrated. You will figure out how to offer yourself with necessary, yet, strong words. Your resume won't be consigned to the base of any heap - it will be placed where it belongs....at the top! Course Highlights Professional CV Writing Course is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Professional CV Writing Course into 38 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 20 hours, 35 minutes and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose This CV Writing Course Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Professional CV Writing Course is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Professional CV Writing Course 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 You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Professional CV Writing Course - Updated Version Introduction 00:01:00 CV Basics 00:01:00 Personal Profile Part 1 00:03:00 Personal Profile Part 2 00:04:00 Work Experience Part 1 00:02:00 Work Experience Part 2 00:02:00 Education & Qualifications 00:02:00 Skills & Abilities 00:03:00 Notable Experiences & Personal Achievements 00:02:00 Hobbies 00:01:00 References 00:02:00 Recap 00:02:00 Professional CV Writing Course - Old Version Module-1 INTRODUCTION FREE 00:15:00 EFFECTIVE RESUME AND COVER LETTER WRITING FREE 00:30:00 THE PURPOSE OF YOUR RESUME 01:00:00 RESUME PRESENTATION IS THE KEY 01:00:00 WOW THE EMPLOYER 01:00:00 Module-2 ELEMENTS OF A RESUME THAT WILL IMPRESS 01:00:00 WRITING YOUR OBJECTIVE 01:00:00 WRITING YOUR SUMMARY 01:00:00 WRITING THE SKILLS AND ACCOMPLISHMENTS SECTION 01:00:00 RESUME FORMATTING 01:00:00 Module-3 WRITING AN ELECTRONIC RESUME 01:00:00 PUT YOUR BEST FOOT FORWARD 00:15:00 YOUR RESUME - A WORK OF ART 01:00:00 WRITING THE HISTORY/ EXPERIENCE SECTION 01:00:00 WRITING YOUR EDUCATION SECTION 01:00:00 Module-4 WRITING A PROFESSIONAL AFFILIATIONS SECTION 00:15:00 WRITING A PUBLICATIONS and PERSONAL INTERESTS SECTION 01:00:00 WRITING A REFERENCES SECTION 00:30:00 DO NOT PUT IN YOUR RESUME 00:15:00 Module-5 A VARIETY OF RESUME SAMPLES 00:30:00 THE IMPORTANCE OF WRITING COVER LETTERS 01:00:00 COVER LETTER OUTLINE: HOW TO WRITE A GOOD COVER LETTER 01:00:00 KEY PHRASES TO BE USED IN YOUR COVER LETTER 00:15:00 COVER LETTER SAMPLE 01:00:00 BASIC COVER LETTER TEMPLATE EXAMPLE 00:30:00 CONCLUSION 00:15:00 Mock Exam Mock Exam- Professional CV Writing Course 00:20:00 Final Exam Final Exam- Professional CV Writing Course 00:20:00

Duration 5 Days 30 CPD hours This course is intended for Audience for this course This course is designed for system administrators responsible for creating OpenShift Enterprise instances, deploying applications, creating process customizations, managing instances and projects. Prerequisites for this course Have taken Red Hat Enterprise Linux Administration I and II (RH124 and RH134), or equivalent Red Hat Enterprise Linux© system administration experience Be certified as a Red Hat Certified System Administrator (RHCSA), or equivalent Red Hat Enterprise Linux system administration experience Be certified as a Red Hat Certified Engineer (RHCE©) Overview Learn to install, configure, and manage OpenShift Enterprise by Red Hat instances - OpenShift Enterprise Administration (DO280) prepares the system administrator to install, configure, and manage OpenShift Enterprise by Red Hat© instances. OpenShift Enterprise, Red Hat's platform-as-a-service (PaaS) offering, provides pre-defined deployment environments for applications of all types through its use of container technology. This creates an environment that supports DevOps principles such as reduced time to market and continuous delivery. - In this course, students will learn how to install and configure an instance of OpenShift Enterprise, test the instance by deploying a real world application, and manage projects/applications through hands-on labs. - Course content summary - Container concepts - Configuring resources with the command line interface - Building a pod - Enabling services for a pod - Creating routes - Downloading and configuring images - Rolling back and activating deployments - Creating custom S2I images This course will empower you to install and administer the Red Hat© OpenShift© Container Platform, with hands-on, lab-based materials that show you how to install, configure, and manage OpenShift clusters and deploy sample applications to further understand how developers will use the platform. This course is based on Red Hat© Enterprise Linux© 7.5 and Openshift Container Platform 3.9. OpenShift is a containerized application platform that allows your enterprise to manage container deployments and scale your applications using Kubernetes. OpenShift provides predefined application environments and builds upon Kubernetes to provide support for DevOps principles such as reduced time to market, infrastructure-as-code, continuous integration (CI), and continuous delivery (CD). 1 - INTRODUCTION TO RED HAT OPENSHIFT ENTERPRISE Review features and architecture of OpenShift Enterprise. 2 - INSTALL OPENSHIFT ENTERPRISE Install OpenShift Enterprise and configure a master and node. 3 - EXECUTE COMMANDS Execute commands using the command line interface. 4 - BUILD APPLICATIONS Create, build, and deploy applications to an OpenShift Enterprise instance. 5 - PERSISTENT STORAGE Provision persistent storage and use it for the internal registry. 6 - BUILD APPLICATIONS WITH SOURCE-TO-IMAGE (S2I) Create and build applications with S2I and templates. 7 - MANAGE THE SYSTEM Use OpenShift Enterprise components to manage deployed applications. 8 - CUSTOMIZE OPENSHIFT ENTERPRISE Customize resources and processes used by OpenShift Enterprise. 9 - COMPREHENSIVE REVIEW Practice and demonstrate knowledge and skills learned in the course. 10 - NOTE: Course outline is subject to change with technology advances and as the nature of the underlying job evolves. For questions or confirmation on a specific objective or topic, please contact us. Additional course details: Nexus Humans Red Hat OpenShift Administration II: Operating a Production Kubernetes Cluster (DO280) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Red Hat OpenShift Administration II: Operating a Production Kubernetes Cluster (DO280) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Basic ECG interpretation ECG basics for beginners ECG course for healthcare professionals ECG training for nurses Beginner ECG reading skills Introduction to ECG interpretation Understanding ECG rhythms Identifying common ECG abnormalities ECG strip reading practice ECG lead placement ECG graph paper essentials Interpreting normal sinus rhythms Recognizing cardiac arrhythmias Practical ECG exercises Hands-on ECG interpretation Expert instructors in ECG training CPD accredited ECG course 7 hours toward nursing revalidation Healthcare professional ECG certification Real-world ECG scenarios

ITIL® 4 Foundation: Virtual In-House Training ITIL® 4 is built on the established core of best practice in the ITIL® guidance. ITIL® 4 provides a practical and flexible approach to move to the new world of digital transformation and embrace an end-to-end operating model for the delivery and operation of products and services. ITIL® 4 also provides a holistic end-to-end picture that integrates frameworks such as Lean IT, Agile, and DevOps. The ITIL® 4 Foundation is based on the exam specifications specified by AXELOS for the ITIL® 4 Foundation certification. The fundamental objective of this course is to help the participants understand the key concepts of service management and the ITIL® 4 service management framework and prepare for the ITIL® 4 Foundation exam. In addition, this course offers a rich learning experience that helps the participants relate ITIL® to their own work environment. The course includes a case study (based on a fictitious organization, 'Axle Car Hire') that will help the participants understand and experience the ITIL® guiding principles, service value, practices through real-world challenges and opportunities. The rich learning experience is supported by additional learning tools such as pre-course reading materials, post-course reading material, and a set of quick reference cards. What You Will Learn At the end of this program, you will be able to: Understand the key concepts of ITIL® service management Understand how ITIL® guiding principles can help an organization to adopt and adapt ITIL® service management Understand the four dimensions of ITIL® service management Understand the purpose and components of the ITIL® service value system, and activities of the service value chain, and how they interconnect Understand the key concepts of continual improvement Learn the various ITIL® practices and how they contribute to value chain activities Course Introduction Let's Get to Know Each Other Course Overview Course Learning Objectives Course Structure Course Agenda Introduction to IT Service Management in the Modern World Introduction to ITIL® 4 Structure and Benefits of ITIL® 4 Case Study: Axle Car Hire Case Study: Meet the Key People at Axle Case Study: The CIOs Vision for Axle Exam Details ITIL® 4 Certification Scheme Service Management - Key Concepts Intent and Context Key Terms Covered in the Module Module Learning Objectives Value and Value Co-Creation Value: Service, Products, and Resources Service Relationships Value: Outcomes, Costs, and Risks Exercise: Multiple-Choice Questions The Guiding Principles Intent and Context Identifying Guiding Principles Key Terms Covered in the Module Module Learning Objectives The Seven Guiding Principles Applying the Guiding Principles Exercise: Multiple-Choice Questions The Four Dimensions of Service Management Intent and Context The Four Dimensions Key Terms Covered in the Module The Four Dimensions and Service Value System Module Learning Objectives Organizations and People Information and Technology Partners and Suppliers Value Streams and Processes External Factors and Pestle Model Exercise: Multiple-Choice Questions Service Value System Intent and Context Service Value System and Service Value Chain Module Learning Objectives Overview of Service Value System Overview of the Service Value Chain Exercise: Multiple-Choice Questions Continual Improvement Intent and Context Key Terms Covered in the Module Introduction to Continual Improvement Module Learning Objectives The Continual Improvement Model Relationship between Continual Improvement and Guiding Principles Exercise: Multiple-Choice Questions The ITIL® Practices Intent and Context ITIL® Management Practices Key Terms Covered in the Module Module Learning Objectives The Continual Improvement Practice The Change Control Practice The Incident Management Practice The Problem Management Practice The Service Request Management Practice The Service Desk Practice The Service Level Management Practice Purpose of ITIL® Practices Exercise: Crossword Puzzle

The Management Skills: New Manager Essential with Complete Career Guide Course is an ideal starting point for those stepping into managerial roles. This course is designed to help individuals navigate the complexities of leadership with a clear and structured approach. It covers all the fundamental areas a new manager needs to understand to build their confidence and succeed in their position. From understanding the basics of team dynamics to mastering decision-making processes, this course provides a comprehensive foundation for anyone looking to grow into a more effective manager. In addition to managerial theory, the course dives into practical tips for handling day-to-day challenges and responsibilities. Whether it’s managing a team, setting objectives, or fostering a productive environment, learners will find valuable guidance. As you progress, you’ll gain a solid understanding of how to build relationships, handle conflict, and motivate others, ensuring you're well-equipped to move forward in your managerial career. This course offers a vital resource for those looking to build the confidence and knowledge needed to succeed in management, no matter where your career takes you next. Key Features: CPD Certified Management Skills: New Manager Essential With Complete Career Guide 10 Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by qualified professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum: Section 01: Introduction Course Introduction Course Aims A Summary of the 21 Strategies Section 02: The 21 Strategies for Success as a New Manager Strategy 1. Get the Lie of the Land Strategy 2. Create a Vision Strategy 3. Know Your Area of Responsibility Strategy 4. Determine if Delivery Is Happening Strategy 5. Create Allies & Keep Them Strategy 6. Get a Mentor Strategy 7. Know What Your Customers Want & Give It to Them Strategy 8. Secure Early Wins & Pick Low-Hanging Fruit Strategy 9. Define the A-List Priorities Strategy 10. Live For the Team Strategy 11. Don't Make Silly Mistakes Strategy 12. Get Onside With the Boss Strategy 13. Be an Agent for Change Strategy 14. Focus, Focus, Focus! Strategy 15. Understand the Culture Strategy 16. Don't Let Method Undermine Objective Strategy 17. Put Goals in Place Strategy 18. Know the Plan, Hit the Plan Strategy 19. Instil Behavioural Change Strategy 20. Deliver. Plain and Simple Strategy 21. Celebrate the Wins Bonus Module: Strategy 22. Maintain Team Cohesion While Apart Section 03: The 6 Key Leadership Principle Introduction to the 6 Principles of Great Managers Principle 1. They Bridge Knowledge Gaps Principle 2. They Give Clear Direction Principle 3. They Prioritise Effectively Principle 4. They Set the Team Up For Success Principle 5. They Establish Themselves Strategically Principle 6. They Build Great Networks Downloadable Resource: Real-World Application Exercise Book ________________________________________________________________________ Complete Career Guide for Management Skills: New Manager Essential (A to Z) This isn't just a course; it's your ticket to thriving in the sector and your roadmap to the Management. In addition to mastering the essentials of Management, you'll also gain valuable skills in CV writing, job searching, communication, leadership, and project management. These 9 complementary courses are designed to empower you at every stage of your journey. Stand out in your career, from crafting a winning CV to excelling in interviews. Develop the leadership skills to inspire your team and efficiently manage projects. This holistic approach ensures you're not just job-ready but career-ready. Enrol today, and let's build your success story together in Management. Your dream career starts here! List of career guide courses included in Management Skills: New Manager Essential With Complete Career Guide: Course 01: Professional CV Writing and Job Searching Course 02: Communication Skills Training Course 03: Career Development Training Course 04: Time Management Course 05: Returning to Work Training Course 06: Level 3 Diploma in Project Management Course 07: Leadership Skills Course 08: Body Language Course 09: Interview and Recruitment ________________________________________________________________________ Learning Outcomes: Understand key strategies for effective new manager success. Develop a clear vision and area of responsibility. Cultivate alliances and maintain mentorship for career growth. Prioritize tasks, secure early wins, and focus on goals. Apply leadership principles to bridge knowledge gaps and prioritize. Establish strategic presence, build networks, and celebrate achievements. ________________________________________________________________________ Accreditation All of our courses, including the Management Skills: New Manager Essential With Complete Career Guide, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Management Skills: New Manager Essential With Complete Career Guide, you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we recommend renewing them every 12 months. Assessment At the end of the courses, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring and new managers seeking essential skills. Professionals looking to enhance leadership and strategic abilities. Individuals aiming for early career success in management roles. Those desiring practical insights for team and goal management. Career path Team Leader - £30K to 45K/year. Operations Manager - £40K to 60K/year. Project Manager - £45K to 70K/year. Business Development Manager - £35K to 55K/year. Regional Manager - £50K to 80K/year. Certificates 10 CPD Accredited e-Certificates Digital certificate - Included 10 CPD Accredited Hard Copy Certificates Hard copy certificate - Included

Improve your self-worth, self-esteem, and self-confidence, and let go of fear and self-sabotage.

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.

Duration 5 Days 30 CPD hours This course is intended for Senior Linux system administrators who use high-availability clustering and fault-tolerant shared storage technologies to maximize resiliency of production services. Overview Install and configure a Pacemaker-based high availability cluster. Create and manage highly available services. Troubleshoot common cluster issues. Work with shared storage (iSCSI) and configure multipathing. Implement Logical Volume Manager (LVM) in cluster-aware configurations. Configure GFS2 file systems on storage shared by multiple nodes. Deploy reliable, available critical production services in a high availability cluster In the Red Hat High Availability Clustering (RH436) course, you will learn how to provide highly available network services to a mission-critical enterprise environment through the deployment and management of shared storage and server clusters. Created for senior Linux system administrators, this 4-day course strongly emphasizes lab-based activities. You will set up a cluster of systems running the Pacemaker component of the Red Hat Enterprise Linux High-Availability Add-On, and deploy Linux-based services such as web servers and databases on that cluster. Cluster storage components from the Resilient Storage Add-On are also covered; installations and applications that require multiple cluster nodes can access the same storage simultaneously. This includes Logical Volume Manager (LVM) Shared Volume Groups, Red Hat Global File System 2 (GFS2), and Device-Mapper Multipath. This course is based on Red Hat Enterprise Linux 8.3. Prerequisites Red Hat Certified System Administrator (RHCSA) exam (EX200) and associated courses. Red Hat Cerfitied Engineer (RHCE) exam (EX294) and associated courses. 1 - Creating high availability clusters Create a basic high availability cluster. 2 - Managing cluster nodes and quorum Manage node membership in the cluster and describe how it impacts cluster operation. 3 - Isolating malfunctioning cluster nodes Isolate unresponsive cluster nodes to protect data and recover services and resources after a failure. 4 - Creating and configuring resources Create basic resources and resource groups to provide highly available services. 5 - Troubleshooting high availability clusters Identify, diagnose, and fix cluster issues. 6 - Automating cluster and resource deployment Deploy a new high availability cluster and cluster resources using Ansible automation. 7 - Managing two-node clusters Operate two-node clusters while identifying and avoiding issues specific to a two-node cluster configuration. 8 - Accessing iSCSI storage Configure iSCSI initiators on your servers to access block-based storage devices provided by network storage arrays or Ceph storage clusters. 9 - Accessing storage devices resiliently Configure resilient access to storage devices that have multiple access paths. 10 - Configuring LVM in clusters Select, configure, and manage the correct LVM configuration for use in your cluster. 11 - Providing storage with the GFS2 cluster file system Use the GFS2 cluster file system to simultaneously pProvide tightly coupled shared storage that can be accessed by multiple nodes. 12 - Eliminating single points of failure Identify and eliminate single points of failure in your cluster to decrease risk and increase average service availability. Note: Course outline is subject to change with technology advances and as the nature of the underlying job evolves. For questions or confirmation on a specific objective or topic, please contact a training specialist. Additional course details: Nexus Humans Red Hat High Availability Clustering (RH436) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Red Hat High Availability Clustering (RH436) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.