36884 Design courses in Mountsorrel delivered Online

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.

Managing a construction site without a solid grip on safety protocols is like juggling bricks with a blindfold—it rarely ends well. This CPD-accredited Site Management Safety Training Scheme is tailored for those overseeing construction or civil engineering projects who need to understand site safety regulations, risk assessment protocols, and the finer points of health and safety legislation. It’s designed to keep you ahead of the curve (and the paperwork), ensuring you know exactly what your legal responsibilities are and how to approach safety with confidence and clarity. Delivered entirely online, the course covers essential safety management principles and incident prevention techniques, equipping you to maintain a site where people can do their jobs without unnecessary risks or nasty surprises. Whether you’re dealing with contractors, subcontractors, or the mountain of health and safety documentation, this course offers the knowledge to help you manage a safer, more organised site—and do it all from the comfort of your own desk, tea in hand. Course Curriculum: Module 01: Health and Safety at Work Module 02: Site Set-Up Module 03: Construction Design and Management (CDM) Regulations Module 04: Risk Identification, Assessment and Management Module 05: Behavioural Safety Module 06: Management of Occupational Health Module 07: Electricity Module 08: Working at Height Module 09: Scaffolding Module 10: Excavations and Confined Space Module 11: Demolition Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Site Management Safety Training Scheme - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Site Management Safety Training Scheme - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Site Management Safety Training Scheme - CPD Accredited training.

Level 5 QLS Endorsed Course with FREE QLS Certificate | CPD Accredited | 150 CPD Points | Lifetime Access

Embark on a comprehensive journey through the intricacies of Project Management. From PMBOK guidelines to effective planning, quality control, and risk management, this course offers the tools and insights needed to excel in managing complex projects in any industry.

Follow your dreams by enrolling on the Fashion & Beauty course today and develop the experience, skills and knowledge you need to enhance your professional development. Fashion & Beauty will help you arm yourself with the qualities you need to work towards your dream job. Study the Fashion & Beauty training course online with Janets through our online learning platform and take the first steps towards a successful long-term career. The Fashion & Beauty course will allow you to enhance your CV, impress potential employers, and stand out from the crowd.  This Fashion & Beauty course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Study the Fashion & Beauty course through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the Fashion & Beauty course, to ensure you are supported every step of the way. Get a digital certificate as proof of your Fashion & Beauty course completion. Janets is one of the top online training course providers in the UK, and we want to make education accessible to everyone! Learn the essential skills you need to succeed and build a better future for yourself with the Fashion & Beauty course. The Fashion & Beauty course is designed by industry experts and is tailored to help you learn new skills with ease.  The Fashion & Beauty is incredibly great value and allows you to study at your own pace. With full course access for one year, you can complete the Fashion & Beauty when it suits you. Access the Fashion & Beauty course modules from any internet-enabled device, including computers, tablets, and smartphones. The Fashion & Beauty course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the Fashion & Beauty now and start learning instantly! What You Get Out Of Studying Fashion & Beauty With Janets: Receive a digital Certificate upon successful completion of the Fashion & Beauty course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Description The Fashion & Beauty training course is delivered through Janets' online learning platform. Access the Fashion & Beauty content from any internet-enabled device whenever or wherever you want to. The Fashion & Beauty course has no formal teaching deadlines, meaning you are free to complete the course at your own pace. Method of Assessment  To successfully complete the Fashion & Beauty course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the Fashion & Beauty course. After successfully passing the Fashion & Beauty course exam, you will be able to apply for a CPD-accredited certificate as proof of your Fashion & Beauty qualification. Certification All students who successfully complete the Fashion & Beauty course can instantly download their digital certificate. You can also purchase a hard copy of the Fashion & Beauty course certificate, which will be delivered by post for £9.99. Who Is This Course For: The Fashion & Beauty is ideal for those who already work in this sector or are an aspiring professional. This Fashion & Beauty course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The Fashion & Beauty is open to all students and has no formal entry requirements. To study the Fashion & Beauty course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Career Path: The Fashion & Beauty is ideal for anyone who wants to pursue their dream career in a relevant industry. Learn the skills you need to boost your CV and go after the job you want. Complete the Fashion & Beauty and gain an industry-recognised qualification that will help you excel in finding your ideal job. Course Content Makeup Makeup Supplies 00:30:00 Makeup Application Women/Girls 00:30:00 Makeup Application Guys 00:30:00 Cleansing & Hairstyles 00:15:00 Professional Makeup and Beauty Tips Body Products Basics 01:00:00 Be Educated On Toxins And Detoxing 01:00:00 Using Bath Products 01:00:00 Sunless Tanning 01:00:00 Body Makeup 01:00:00 The Latest In Support Garments 01:00:00 How Looking Great Makes You Feel Great 00:30:00 Manicure The Nail Salon Basics 00:30:00 Nail Anatomy 00:15:00 Nail Structure 00:15:00 Manicure 00:15:00 Manicure Pedicure Process 00:15:00 Giving French Manicure 00:15:00 Gel Manicures and Pedicures 01:00:00 Nail Filing 00:15:00 Nail Clipping 00:15:00 Hand Massage 00:15:00 Nail Polishing 00:15:00 Nail Care Products 00:30:00 Professional Nail Tips 00:15:00 Pedicure Pedicure Treatment 00:30:00 Scrub Pedicure 00:15:00 Aromatherapy Pedicure 00:30:00 Hard Skin Removal 00:15:00 Foot Massage 00:15:00 Taking care of Feet 00:15:00 Hairdressing Who are Hairdressers? 00:15:00 Anatomy of the skull 00:15:00 Hair Type 00:15:00 Face shapes, Characteristics & Style concepts 00:15:00 Hair Salon Equipments & Furnitures 00:15:00 Cutting the Hair 00:15:00 Cutting hair - One length hair 00:15:00 Cutting hair - Uniform Layer 00:15:00 Cutting hair - Short graduation 00:15:00 Cutting hair - Long graduation 00:15:00 Cutting hair - Curly hair 00:15:00 Cutting hair - Fringes 00:15:00 Braiding Hair 00:15:00 Applying Braiding Techniques 01:00:00 Finishing Hair 00:15:00 Health & Safety in Hairdressing 01:00:00 Hairstyling About Of Hair Style 00:30:00 Check Out Your Face Shape 01:00:00 Choosing Your Style On Your Shape 01:00:00 Best Hairstyles For A Long Face 00:30:00 Best Hairstyles For A Square Face 00:30:00 Best Hairstyles For A Round Face 00:30:00 Best Hairstyles For A Heart Shaped Face 01:00:00 How To Love Your Style 00:30:00 Mock Exam Mock Exam- Fashion & Beauty 00:20:00 Final Exam Final Exam- Fashion & Beauty 00:20:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Delve into the transformative world of workplace wellness with our course, 'Optimizing Office Ergonomics for Productivity.' Envision enhancing your workspace in a way that not only boosts productivity but also ensures well-being. The journey begins with an introduction to ergonomics, providing a thorough understanding of its importance in the modern office setting. Each module is meticulously crafted to guide you through the essential principles of ergonomics, transforming your work environment into a haven of efficiency and comfort. This course is not merely about arranging furniture; it's about creating a workspace that harmonically aligns with the human body, reducing strain and enhancing productivity. Advance through the curriculum and discover the intricacies of workplace-related legislation, ensuring your ergonomic setups comply with current standards. You'll learn to design an ergonomic workstation, a critical skill in today's dynamic work environments. The course goes further, teaching you how to prevent injuries related to poor ergonomics and how to implement these strategies effectively in any workplace. The final module brings in the perspective of remote work, making this course invaluable for both traditional and modern, flexible work settings. By the end of this course, you'll have the expertise to create workspaces that are not only productive but also promote physical health and wellness. Learning Outcomes Understand the fundamentals of ergonomics and its relevance in the workplace. Gain knowledge of workplace ergonomics-related legislation and compliance. Learn to design and set up an ergonomic workstation effectively. Acquire strategies to prevent injuries related to poor workplace ergonomics. Apply ergonomic principles to both traditional and remote work environments. Why choose this Optimizing Office Ergonomics for Productivity course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Optimizing Office Ergonomics for Productivity course for? Office managers aiming to enhance workplace productivity and safety. Employees seeking to optimize their home or office workstations. HR professionals focusing on employee health and compliance with legislation. Health and safety officers looking to implement ergonomic practices. Remote workers and freelancers wanting to create efficient home offices. Career path Ergonomics Consultant: £30,000 - £55,000 Health and Safety Manager: £35,000 - £60,000 Office Manager: £28,000 - £45,000 Human Resources Specialist: £27,000 - £50,000 Workplace Wellness Coordinator: £26,000 - £42,000 Freelance Workspace Designer: £25,000 - £40,000 Prerequisites This Optimizing Office Ergonomics for Productivity does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Optimizing Office Ergonomics for Productivity was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Ergonomics Introduction to Ergonomics 00:09:00 Module 02: Workplace-Related Legislation Workplace-Related Legislation 00:09:00 Module 03: Ergonomic Principles Ergonomic Principles 00:13:00 Module 04: Setting Up an Ergonomic Workstation Setting Up an Ergonomic Workstation 00:11:00 Module 05: Prevent Ergonomic-Related Injuries Prevent Ergonomic-Related Injuries 00:14:00 Module 06: Implementing Ergonomics in the Workplace Implementing Ergonomics in the Workplace 00:18:00 Module 07: Ergonomics and Remote Work Ergonomics and Remote Work 00:16:00

In the intricate world of healthcare, clinical research is a beacon, shining light on innovations and advancements. Dive into 'Clinical Research Administration: Navigating the Healthcare Landscape', an expertly curated journey that marries in-depth knowledge with actionable strategies. This course will guide you from the foundations of clinical research to its evolving future. You'll traverse trial designs, the imperatives of ethics, data intricacies, and quality controls, ensuring you're equipped to lead, innovate, and make pivotal decisions within the clinical research realm. Learning Outcomes Gain a robust understanding of the clinical research ecosystem and its administration. Design and plan effective clinical trials while ensuring ethical and regulatory compliance. Master the art of data management, ensuring accuracy and reliability. Oversee trial monitoring, auditing, and meticulous safety reporting. Analyse clinical data proficiently and forecast the future trends in clinical research. Why choose this Clinical Research Administration: Navigating the Healthcare Landscape course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Clinical Research Associate: Administration & Navigating the Healthcare Landscape Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Clinical Research Administration: Navigating the Healthcare Landscape course for? Aspiring clinical researchers poised to shape the future of healthcare. Healthcare administrators seeking specialised knowledge in research. Medical students aiming to bolster their understanding of clinical trials. Ethics committee members desiring a broader perspective. Quality assurance professionals in the healthcare sector. Career path Clinical Research Coordinator: £25,000 - £40,000 Clinical Data Manager: £35,000 - £60,000 Clinical Research Associate: £30,000 - £50,000 Regulatory Affairs Specialist: £40,000 - £70,000 Clinical Trials Auditor: £40,000 - £65,000 Clinical Research Manager: £50,000 - £80,000 Prerequisites This Clinical Research Associate: Administration & Navigating the Healthcare Landscape does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Clinical Research Associate: Administration & Navigating the Healthcare Landscape was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Clinical Research Administration Introduction to Clinical Research Administration 00:15:00 Module 02: Clinical Trial Design and Planning Ethics and Regulatory Compliance 00:11:00 Module 03: Ethics and Regulatory Compliance Ethics and Regulatory Compliance 00:13:00 Module 04: Institutional Review Boards (IRBs) and Ethics Committees Institutional Review Boards (IRBs) and Ethics Committees 00:10:00 Module 05: Data Management and Recordkeeping Data Management and Recordkeeping 00:12:00 Module 06: Safety Reporting and Adverse Events Safety Reporting and Adverse Events 00:10:00 Module 07: Clinical Trial Monitoring and Auditing Clinical Trial Monitoring and Auditing 00:09:00 Module 08: Study Site Management and Quality Control Study Site Management and Quality Control 00:17:00 Module 09: Data Analysis and Reporting Data Analysis and Reporting 00:09:00 Module 10: The Future of Clinical Research The Future of Clinical Research 00:10:00

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

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