36802 Design courses in Reading delivered Online

When you're looking at a successful restaurant, you're also looking at a well-organized management system. Without proper knowledge of managing every sector of the business, it's doomed to fail. This is one of the best food business management courses which covers a broad range of topics from how to decide and design on the concept to maintain the insurance policy. After finishing, you'll have a wealth of knowledge in various topics related to this field. You'll be able to write a solid business plan and make the right strategy for your business. You'll also have some heads up about your upcoming challenges and will learn how to tackle them efficiently. This course will also provide you with some real-life success stories and discuss how they did it. Why Choose this Course? Get a Food and Beverage Manager Training Diploma E-Certificate upon successful completion for free. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The Food and Beverage Manager course is delivered through our online learning platform, accessible through any internet-connected device. No formal deadlines or teaching schedules are included, providing a flexible study plan.  We broke down the course into several manageable modules which we believe will assist you to grasp each concept more efficiently - from the fundamentals to the most advanced aspects of the course. The experts will teach you through a combination of: Video tutoring Online study supplies Mock tests Multiple-choice evaluation Certification After completing the Food and Beverage Manager course successfully, you'll get an e-certificate without any cost. If you desire a print copy of the certificate, we can send it to you by post. For this, you will need to pay a minute amount of additional cost, which is £9.99 and PDF Certificate is available at £4.99. Who is this course for? The Food and Beverage Manager course is suitable for anyone who wants to gain extensive knowledge, potential experience, and professional skills in the related field. Industry experts designed this course, so you don't have to worry about the quality.  Most importantly, this course does not require any experience or qualification to get enrolled. You will learn everything that is needed from this complete Food and Beverage Manager course. This is an excellent opportunity for anyone to learn more and advance their learning skills, launch a new career or reinvigorate an existing one.

Cloud deployment training course description This course covers the important topics every cloud professional needs, including, configuration and deployment, security, maintenance, management, and troubleshooting. It covers all aspects of cloud computing infrastructure and administration, with a practical focus on real-world skills. It will help you to master the fundamental concepts, terminology, and characteristics of cloud computing. Deploy and implement cloud solutions, manage the infrastructure, and monitor performance. You will also be able to install, configure, and manage virtual machines. What will you learn Cloud services, models, and characteristics. Virtualization components, installation, and configuration. Infrastructure configurations and optimization. Resource management and specific allocations. IT security concepts, tools, and best practices. Recovery, availability and continuity in the cloud. Cloud deployment training course details Who will benefit: IT professionals looking to deploy and implement cloud solutions, manage the infrastructure, and monitor performance, Install, configure, and manage virtual machines. Prerequisites: Introduction to virtualization. Duration 5 days Cloud deployment training course contents Preparing to Deploy Cloud Solutions Deploying a Pilot Project Testing Pilot Project Deployments Designing a Secure and Compliant Cloud Infrastructure Designing and Implementing a Secure Cloud Environment Planning Identity and Access Management for Cloud Deployments Determining CPU and Memory Sizing for Cloud Deployments Determining Storage Requirements for Cloud Deployments Analysing Workload Characteristics to Ensure Successful Migration Maintaining Cloud Systems Implementing Backup, Restore, Disaster Recovery, and Business Continuity Measures Analysing Cloud Systems for Performance Analysing Cloud Systems for Anomalies and Growth Forecasting Troubleshooting Deployment, Capacity, Automation, and Orchestration Issues Troubleshooting Connectivity Issues Troubleshooting Security Issues

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Windows server 2019 administration course description This five-day instructor-led course is designed primarily for IT professionals who have some experience with Windows Server. It is designed for professionals who will be responsible for managing identity, networking, storage and compute by using Windows Server 2019, and who need to understand the scenarios, requirements, and options that are available and applicable to Windows Server 2019. The course teaches IT professionals the fundamental administration skills required to deploy and support Windows Server 2019 in most organizations. What will you learn Administrate Windows Server 2019. Configure file servers and storage. Manage Hyper-V virtualization and containers. Implement HA and disaster recovery solutions. Implement service monitoring and performance monitoring, and apply troubleshooting. Perform upgrades and migration related to AD DS, and storage. Windows server 2019 administration course details Who will benefit: Technical staff working with Windows server 2019. Prerequisites: TCP/IP foundation for engineers. Some Windows experience. Duration 5 days Windows server 2019 administration course contents Windows server administration overview Windows server administration principles and tools, Introducing Windows Server 2019, Windows Server Core Overview. Lab: Deploying and configuring Server Core, Implementing and using remote server administration. Identity Services in Windows server AD DS, Windows Server domain controllers, Azure AD, Group Policy, Active Directory Certificate Services. Lab: Deploying a new domain controller on Server Core, Configuring Group Policy, Deploying and using certificate services. Network Infrastructure services in Windows server DHCP, DNS services, IPAM. Lab: Deploying and configuring DHCP, Deploying and configuring DNS. File Servers and Storage management Volumes and file systems, sharing in Windows Server, Storage Spaces in Windows Server, Data Deduplication, Iscsi, Distributed File System. Lab: Implementing Data Deduplication, Configuring iSCSI storage, Configuring redundant storage spaces, Implementing Storage Spaces Direct. Hyper-V virtualization and containers Hyper-V in Windows Server, Configuring VMs, Securing virtualization in Windows Server, Containers in Windows Server, Overview of Kubernetes. Lab: Creating and configuring VMs, Installing and configuring containers. High Availability in Windows Server Planning for failover clustering implementation, Creating and configuring failover cluster, stretch clusters, High availability and disaster recovery solutions with Hyper-V VMs. Lab: Configuring iSCSI storage, Configuring a failover cluster, Deploying and configuring a highly available file server, Validating the highly available file server deployment. Disaster recovery in Windows Server Hyper-V Replica, Backup and restore infrastructure in Windows Server. Lab: Implementing Hyper-V Replica, Implementing backup and restore with Windows Server Backup. Windows Server security Credentials and privileged access protection, Hardening Windows Server, Just Enough Administration in Windows Server, Securing and analyzing SMB traffic, Windows Server update management. Lab: Configuring Windows Defender Credential Guard, Locating problematic accounts, Implementing LAPS. Remote Desktop Services in Windows Server Remote Desktop Services, session-based desktop deployment, personal and pooled virtual desktops. Lab: Implementing RDS, Configuring RemoteApp collection settings, Configuring a virtual desktop template. Remote access and web services in Windows Server Overview of RAS in Windows Server, Implementing VPNs, Implementing NPS, Implementing Always On VPN, Implementing Web Server in Windows Server. Lab: Implementing Web Application Proxy, Implementing VPN in Windows Server, Deploying and Configuring Web Server. Monitoring, performance, and troubleshooting Windows Server monitoring tools, Performance Monitor, Monitoring event logs for troubleshooting. Lab: Establishing a performance baseline, Identifying the source of a performance problem, Viewing and configuring centralized event logs, Identifying the source of a performance problem, Describe monitoring tools and performance monitoring in Windows Server, Describe event logging and perform event logging monitoring for troubleshooting purposes. Upgrade and migration in Windows Server AD DS migration, Storage Migration Service, Windows Server migration tools. Lab: Selecting a process to migrate server workloads, Planning how to migrate files by using Storage Migration Service.

Overview In the realm of public health, Epidemiology in Public Health stands as the sentinel of population wellbeing. The UK's commitment to public health is evident, with the government allocating £3.9 billion to public health services in 2019/20. This Epidemiology in Public Health course unveils the intricate world of disease patterns and health determinants, equipping you with the tools to safeguard communities. As the UK faces evolving health challenges, from emerging infectious diseases to chronic conditions, the demand for skilled epidemiologists continues to rise. The Office for National Statistics reports that life expectancy improvements have slowed since 2011, highlighting the crucial need for epidemiological insights. This course delves into the core principles of Epidemiology in Public Health, from understanding disease occurrence to analysing outbreaks. You'll master the art of study design, measure risk with precision, and grasp the epidemiological concept of population. Join us in the pursuit of public health excellence, where Epidemiology in Public Health becomes your lens to view and transform the health landscape. Whether you're tracking epidemics or preventing diseases, this Epidemiology in Public Health course will be your cornerstone in shaping a healthier future. In this Epidemiology Course, you will: Sharpen your skills to help you advance your career. Acquire a comprehensive understanding of various related topics and tips from industry experts. Learn in-demand knowledge and skills in high demand among UK employers, which will help to kickstart your Epidemiology in Public Health Course career. Enrolling in the Epidemiology in Public Health Course can assist you in getting into your desired career faster than you ever imagined. So, without further ado, start now! Process of Evaluation After studying the Epidemiology course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Epidemiology course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Epidemiology is suitable for anyone aspiring to start a career in Epidemiology; even if you are new to this and have no prior knowledge on Epidemiology, this course is going to be very easy for you to understand.  And if you are already working in the Epidemiology field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Epidemiology course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Epidemiology course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Epidemiology course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Epidemiology course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Module 01: Understanding Epidemiology Understanding Epidemiology 00:18:00 Module 02: Principles of Epidemiology Principles of Epidemiology 00:20:00 Module 03: Study Design Study Design 00:24:00 Module 04: Disease Occurrence Disease Occurrence 00:19:00 Module 05: Variation in Disease by Time, Place, and Person Variation in Disease by Time, Place, and Person 00:15:00 Module 06: Epidemics and Outbreaks Epidemics and Outbreaks 00:26:00 Module 07: Measures of Risk and Disease Prevention Measures of Risk and Disease Prevention 00:23:00 Module 08: Measures of Disease Frequency Measures of Disease Frequency 00:22:00 Module 09: Role of Epidemiology in Public Health Role of Epidemiology in Public Health 00:17:00 Module 10: The Epidemiological Concept of Population The Epidemiological Concept of Population 00:22:00 Assignment Assignment - Epidemiology 00:00:00

In this course, we will learn about the future's technology called WebRTC by building two real-world chat applications. We will learn what is WebRTC, why it is important, how it works, and cover the different protocols used in WebRTC. A basic understanding of HTML, CSS, and JavaScript is required.

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.

Step into the world of professional mastery where business acumen meets organisational finesse. This comprehensive course seamlessly weaves together the threads of Office Management, Business Administration, and Retail Customer Service, transforming you into a virtuoso of corporate excellence. Unlock the gateway to success as you delve into the intricacies of effective office administration, honing skills that transcend the ordinary and catapult you into the echelons of business leadership. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access From mastering conflict resolution to crafting a corporate brand that resonates, each module serves as a stepping stone towards managerial prowess. Dive deep into the art of building robust organisational structures and cultivating a customer-centric ethos. Leadership essentials await, equipping you with the skills to train employees for success, manage operations seamlessly, and ensure financial prowess. Whether you're navigating the intricate dance of retail management or decoding the nuances of the sales process, this course offers a holistic journey through the corridors of business expertise. Join us, and let your career trajectory soar to new heights, armed with the knowledge to shape businesses and leave an indelible mark in the realm of corporate excellence. Course Curriculum Module 01: Introduction to Business Administration Module 02: Administrator Proficiency Skills Module 03: Conflict Management Strategies Module 04: Corporate Brand Development Module 05: Organizational Structure Design Module 06: Ethics and Customer-Centric Teams Module 07: Efficient Operations Management Module 08: Leadership Essentials and Employee Training Module 09: Financial Management and Succession Planning Module 10: Product Marketing Strategies Module 11: Building Successful Teams and Products Module 12: Effective Retail Management Module 13: Sales Process Optimization and Customer Checkout Module 14: Understanding Financial Terms in Business Learning Outcomes: Master conflict resolution techniques vital for effective office management. Design and implement organisational structures to enhance operational efficiency. Develop skills to build and nurture a compelling corporate brand identity. Cultivate ethics within your team, focusing on exceptional customer care. Acquire essential leadership skills for training employees and ensuring success. Gain proficiency in retail management, from product placement to customer checkout. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring office managers seeking comprehensive administrative and leadership skills. Business professionals aiming to enhance their strategic and ethical decision-making abilities. Individuals interested in retail management and customer service excellence. Those seeking knowledge in designing organisational structures and managing operations. Entrepreneurs desiring a holistic understanding of business administration and retail. Career path Office Manager Business Administrator Corporate Brand Manager Retail Manager Operations Specialist Customer Service Team Lead Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

About this training course This 5-day intensive training course is designed to improve the skills of those involved in the financial and contractual auditing of upstream Oil & Gas Exploration and Production activities. The objective of this course is to enhance your understanding of the various audit principles and practices being applied in this industry today and to equip you with the knowledge and tools to deal with complex audit cases. The course concentrates on aspects of auditing unique to the E&P business. Training Objectives After the completion of this training course, participants will be able to: Apply a structured methodology for conducting oil industry internal, production sharing and joint venture audits Implement the benefits of a multi-discipline team audit approach Adopt a model of best practice for conducting audits Analyse, interpret and decide complex cases using the contracts and documents, the principles and auditor's judgement Target Audience This training course is suitable and will greatly benefit the following specific groups: Personnel with an Internal audit background who are totally new to the discipline of Joint Venture (JV) or Production Sharing Contract (PSC) audit Experienced audit practitioners who wish to update their auditing techniques Personnel from Finance or any discipline who intend to take part in internal or joint venture audits Personnel with a background in statutory audit in the accountancy profession who require an insight into the internal and joint venture audit areas Course Level Intermediate Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 25. Trainer Your expert course leader has more than 30 years of experience in the international oil and gas industry, covering all areas of Finance and Audit, including involvement in Commercial roles. During her 19 years with ENI she worked in Italy, Netherlands, Egypt and UK and was CFO for 2 major ENI subsidiaries. She has delivered training courses in Accounting, Audit, Economics and Commercial topics in many Countries. She has a Degree in Economics & Accounting and is a Certified Chartered Accountant. She is also a Chartered Auditor and an International Petroleum Negotiator. Outside of work, she is inspired by the beauty of nature and art, helping disadvantaged people, sports (football, golf) and her cat. Courses Delivered Internationally: E&P Accounting, Auditing in the Oil & Gas Industry Cost Control & Budgeting Introduction to the Oil & Gas Industry Petroleum Project Economics Contracts Strategy International O&G Exploitation Contracts POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

About this training course This highly interactive 5-day training is aimed at those who wish to take their E&P accounting skills to a more advanced level than our introductory course, E&P Accounting - Level 1, and our intermediate course, E&P Accounting - Level 2. It will help equip you for more demanding analytical roles within your organisation. Training Objectives After the completion of this training course, participants will be able to: Carry out and manage the day-to-day financial accounting activities associated with participation in E&P joint ventures Prepare, analyse and present information for effective financial reporting Understand the impact of a comprehensive range of activities on the financial statements of an upstream oil and gas company Practically apply IFRS in accounting for a wide range of typical oil and gas industry activities Target Audience This is an advanced level course designed for: those who have already attended E&P Accounting - Level 1 and E&P Accounting - Level 2, or those who can demonstrate, by a combination of relevant experience and previous study, sufficient prior knowledge to contribute and benefit from attending this workshop Course Level Advanced Training Methods Training Method - Scenario Based Learning Learning centers around highly realistic E&P company scenarios. A computer-based simulation is used to plan, record and report the progress of your company through several years of international E&P activities. Teams of 2 - 3 people participate in the financial management of these activities, including Operator and Non-operator accounting, recording of transactions, updating of financial statements and analysis of results. The highly interactive laptop-based scenario approach will enable you to follow the impact of each activity from initiation through to final results and analysis of company performance. You will need to bring with you to the course your own laptop PC with MS Excel™ pre-installed. Prior knowledge of spreadsheet techniques is assumed. Trainer will provide various Excel files which participants may retain at the end of the course. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 25. Trainer Your expert course leader has more than 30 years of experience in the international oil and gas industry, covering all areas of Finance and Audit, including involvement in Commercial roles. During her 19 years with ENI she worked in Italy, Netherlands, Egypt and UK and was CFO for 2 major ENI subsidiaries. She has delivered training courses in Accounting, Audit, Economics and Commercial topics in many Countries. She has a Degree in Economics & Accounting and is a Certified Chartered Accountant. She is also a Chartered Auditor and an International Petroleum Negotiator. Outside of work, she is inspired by the beauty of nature and art, helping disadvantaged people, sports (football, golf) and her cat. Courses Delivered Internationally: E&P Accounting, Auditing in the Oil & Gas Industry Cost Control & Budgeting Introduction to the Oil & Gas Industry Petroleum Project Economics Contracts Strategy International O&G Exploitation Contracts POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations