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3713 Construction courses delivered Online

Rhinoceros 3D Night Training Course

By ATL Autocad Training London

Why Choose Rhinoceros 3D Night Training Course? Learning Rhino 3D opens doors to advanced 3D modeling, making it essential for architects, designers, and engineers. Its versatility, ease of use, and powerful features make it an industry favorite for creating intricate designs, from architecture to product design. Click here for more info: Website Personalized Learning: 1-on-1 sessions tailored to your needs Flexible Timing: Convenient evening classes (5 pm - 7 pm) Mon to Sat Duration: 10 hours. Choose your own day and time Rhino 3D Training Overview Our Rhino 3D Training offers in-person or live sessions suitable for beginners and those aiming to optimize their workflow in Rhinoceros 3D. Course Highlights: Master precise free-form 3D NURBS modeling. Explore advanced surfacing commands and the Rhino interface. Develop skills in curve, surface, and solid modeling. Learn effective modeling practices for various industries, from industrial design to jewelry and graphic design. Who Should Attend? This course is perfect for individuals starting their Rhino journey or aiming to refine their modeling skills. If jewelry modeling is your focus, check out our specialized Rhino Training for Jewelry Design Course. Why Choose Us? Hands-on, instructor-led sessions with flexible scheduling (weekdays, evenings, or weekends from 9 am to 7 pm). Expert instruction from Rhino professionals. Real-time practice with industry-aligned projects. Comprehensive electronic notes and course completion certificate. Ongoing support and career advice from experienced trainers. Benefits of Rhino Training Ideal for enthusiasts in animation, modeling, NURBS curves, surfaces, or solids, Rhino Training empowers you with industry-standard skills. No prerequisites are required, ensuring accessibility for all learners. Upon completing this course, you will: Master Rhino's Interface: Gain proficiency in Rhino's commands, toolbars, and menus, enabling efficient 3D modeling. Create Complex 3D Models: Develop the skills to create intricate 3D objects using curves, surfaces, and solids with various techniques like lofts, sweeps, and revolves. Refine Modeling Techniques: Learn advanced editing methods, such as filleting, chamfering, and curve Booleans, to refine and modify objects. Navigate the 3D Space: Understand 3D navigation, viewports, and construction planes, enabling precise modeling in a virtual space. Prepare Models for Production: Master techniques for analyzing and preparing 3D models for manufacturing, prototyping, and 3D printing. Enhance Rendering and Visualization: Learn rendering techniques to create realistic visuals of your models for presentations and proofs. Job Opportunities: After completing this course, you can pursue a variety of careers, including: 3D Modeler: Create detailed 3D models for industries like gaming, animation, or virtual reality. Product Designer: Design and visualize products for manufacturing using 3D modeling software. Architectural Visualization Specialist: Develop detailed architectural models for presentations and client approvals. Industrial Designer: Design consumer products, furniture, or appliances for manufacturing companies. Jewelry Designer: Craft intricate jewelry designs with precise detailing using 3D modeling techniques. Prototyping Specialist: Work in industries like aerospace or automotive, creating prototypes for testing and development. Freelance 3D Artist: Offer your skills on platforms like Upwork or Fiverr, creating custom 3D models for clients worldwide. Rhino 3D Training Overview Our Rhino 3D Training offers in-person or live sessions suitable for beginners and those aiming to optimize their workflow in Rhinoceros 3D. Course Highlights: Master precise free-form 3D NURBS modeling. Explore advanced surfacing commands and the Rhino interface. Develop skills in curve, surface, and solid modeling. Learn effective modeling practices for various industries, from industrial design to jewelry and graphic design. Who Should Attend? This course is perfect for individuals starting their Rhino journey or aiming to refine their modeling skills. If jewelry modeling is your focus, check out our specialized Rhino Training for Jewelry Design Course. Why Choose Us? Hands-on, instructor-led sessions with flexible scheduling (weekdays, evenings, or weekends from 9 am to 7 pm). Expert instruction from Rhino professionals. Real-time practice with industry-aligned projects. Comprehensive electronic notes and course completion certificate. Ongoing support and career advice from experienced trainers. Benefits of Rhino Training Ideal for enthusiasts in animation, modeling, NURBS curves, surfaces, or solids, Rhino Training empowers you with industry-standard skills. No prerequisites are required, ensuring accessibility for all learners. Advantages: Personalized Rhino 3D Evening Training with individual attention. Flexibility to select your preferred time and day for the training. Access to free online support even after completing the course. Comprehensive PDF notes and handouts provided for effective learning. Receive a certificate upon completing the Rhino 3D Evening Training Course. Affordable pricing options tailored to your budget. Assistance in computer configuration for seamless software installation. Referral benefits: Recommend a friend and enjoy exclusive discounts. Special discounts available for group training sessions. Operating hours from Monday to Saturday, extending into the evening for convenience. Tailored training programs designed to meet your specific needs and requirements.

Rhinoceros 3D Night Training Course
Delivered in London or OnlineFlexible Dates
£348

Urban Farming and Gardening: Modern Agricultural Methods

4.3(43)

By John Academy

Discover the essentials of urban farming and gardening with our comprehensive course on modern agricultural methods. Learn about soil preparation, pest management, sustainable practices, and more to cultivate thriving urban gardens. Join us to gain practical skills and contribute to local food production initiatives sustainably.

Urban Farming and Gardening: Modern Agricultural Methods
Delivered Online On Demand2 hours
£23.99

Professional Certificate in Introduction to International Sales of Goods Governed by English Law in London 2024

4.9(261)

By Metropolitan School of Business & Management UK

This course explores the English legal and regulatory landscape of the sales of goods and the principles on which law practitioners draft and negotiate these contracts. The course introduces some fundamental concepts relating to the rights and obligations of buyers and sellers in sales contracts. It reflects on the remedies offered to the buyer and seller in case of breach of contract while exploring relevant elements of internationality, including the International Commercial Terms of The International Chamber of Commerce.After the successful completion of this course, the learner will be able to; Identify the UK domestic legislative framework of international sales contracts. Understand the construction of contracts of sales of goods and products in English law. Determine the rights and obligations of buyer and seller in international sales contracts. Reflect on the remedies offered to the buyer and seller in case of breach of contract. Identify international rules influencing the UK legal framework of International sales contracts. Understand the different types and effects of incoterms rules. This course explores the English legal and regulatory landscape of the sales of goods and the principles on which law practitioners draft and negotiate these contracts. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Introduction to International Sales of Goods Governed by English Law QUIZ: Introduction To International Sales Of Goods Governed By English Law Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course.The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and gets updated on current ideas in their respective field. We recommend this certificate for the following audience. Legal advisors. Law practitioners. Contract specialists. Legal officers. Contract managers. Business developers. Trade advisors. Trade compliance officers. Law lecturers. Business lecturers. Legal and business researchers. Average Completion Time 2 Weeks Accreditation 1 CPD Hour Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Professional Certificate in Introduction to International Sales of Goods Governed by English Law in London 2024
Delivered Online On Demand14 days
£29

Introduction To Financial Markets Course

3.5(2)

By Elearncollege

Description Introduction To Financial Markets Diploma In today's fast-paced and interconnected world, understanding financial markets is crucial not just for professionals in the finance sector, but for anyone aiming to make well-informed decisions about their finances or career. For those looking to bolster their understanding, the Introduction To Financial Markets Diploma offers a comprehensive online course designed specifically to enlighten learners about the intricacies of the global financial ecosystem. The Introduction To Financial Markets Diploma begins by laying the foundation with an Introduction to Finance. This pivotal unit provides an overview of the finance world, ensuring students grasp the basics and comprehend the broader picture. As one progresses through the course, the complexities of financial instruments, markets, and intermediaries are unravelled, providing insights into the tools, structures, and bodies that underpin the financial world. Next, the course shifts its focus to Financial Statements and Accounting Principles, equipping learners with the skills to interpret and analyse financial data. By understanding the intricacies of balance sheets, income statements, and the likes, participants can make better-informed decisions in both personal and professional spheres. When it comes to Business Finance and Financial Strategy, students are taught the importance of financial planning and how it impacts businesses. From understanding the intricacies of dividends and stock distributions to mastering financing decisions, learners get a holistic view of how businesses manage and utilise their finances. Risk is an inherent part of any financial decision. With a dedicated section on Financial Risk Management and Enterprise Risk Management, this diploma ensures participants are well-versed in identifying, analysing, and managing various financial risks. This knowledge is particularly crucial for those looking to enter the finance sector or manage their own investments. One of the core principles of finance, the Time Value of Money, is delved into with great precision. By learning about valuation techniques, students are positioned to comprehend the inherent value of financial decisions, assets, and liabilities in present and future terms. This is further complemented by a unit on Financial Ratio and Cash Flow Analysis, allowing learners to evaluate the health and potential of a business or investment. No finance course would be complete without addressing the decision-making processes that drive the industry. Through the Capital Budgeting and Investment Decisions unit, learners gain insights into how businesses decide where to allocate their capital for maximum returns. This invaluable knowledge can be translated to personal investment decisions as well. Lastly, the course rounds off with Investment Management and Portfolio Theory. Here, students are introduced to the strategies employed by investment managers. From understanding diversification to mastering the intricacies of portfolio construction, learners are equipped to manage their investments or delve into a career in investment management. All units of the Introduction To Financial Markets Diploma are meticulously designed to ensure clarity and comprehension. With interactive online modules, students can study at their own pace, making the learning experience both flexible and comprehensive. In conclusion, the Introduction To Financial Markets Diploma offers a thorough exploration of the world of finance. Whether you're a budding financial professional, a business owner, or simply a curious individual, this course promises to deliver knowledge that will enrich your understanding and provide tools for sound financial decision-making. Join the journey and unravel the mysteries of the financial world. What you will learn 1:Introduction to Finance 2:Financial Instruments, Markets, and Intermediaries 3:Financial Statements and Accounting Principles 4:Business Finance and Financial Strategy 5:Dividends, Stock Distributions, and Financing Decisions 6:Financial Risk Management and Enterprise Risk Management 7:Time Value of Money and Valuation Techniques 8:Financial Ratio and Cash Flow Analysis 9:Capital Budgeting and Investment Decisions 10:Investment Management and Portfolio Theory Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Introduction To Financial Markets Course
Delivered Online On Demand9 days
£99

Document Control Lifecycle

By NextGen Learning

Imagine a project where multiple teams and stakeholders are involved, and documents are continuously being created and updated. Without proper document control, it could be challenging to track and manage all the necessary information, leading to confusion, delays, and errors. This course in Document Control provides a comprehensive understanding of the principles, strategies, and tools required to manage documentation effectively. Learning Outcomes: Understand the importance of Document Control in various industries and environments. Gain knowledge of the Document Control lifecycle and its different stages. Learn about different Document Control strategies and instruments to choose the best approach for your organization. Explore the principles of quality assurance and controlling quality of documents. Understand the fundamentals of Project Document Control. Learn about Electronic Document Management Systems (EDMS) and soft copy documentation. The course in Document Control offers an in-depth understanding of managing documents effectively in different industries and environments. The course covers the fundamental principles of document control and its different elements. It also explores the different stages of the document control lifecycle, along with strategies, instruments, and tools to manage documents efficiently. Participants will gain an understanding of quality assurance and controlling the quality of documents. They will also learn about Project Document Control and Electronic Document Management Systems (EDMS) and soft copy documentation. This course is suitable for professionals seeking to enhance their knowledge of document control and its related fields. It is also ideal for individuals who are responsible for managing documents and want to learn the best practices to handle documents efficiently. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals working in industries such as healthcare, manufacturing, engineering, construction, and IT. Document Controllers Quality Assurance Officers Project Managers Career path Document Controller: £21k - £44k per annum Quality Assurance Officer: £23k - £46k per annum Project Manager: £29k - £67k per annum Quality Manager: £28k - £62k per annum Compliance Manager: £32k - £70k per annum Information Manager: £35k - £81k per annum

Document Control Lifecycle
Delivered Online On Demand3 hours
£15

QUALIFI Level 3 Diploma in Data Science

By School of Business and Technology London

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.

QUALIFI Level 3 Diploma in Data Science
Delivered Online On Demand11 months
£780.35

Gas Engineer Diploma - CPD Certified

5.0(10)

By Apex Learning

Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Complete Gas Engineer Package Now The UK oil and gas industry is in its sixth decade of offshore production. Between 2014 and 2020, production increased by almost 20%. The sector is directly responsible for approaching 40,000 jobs. An estimation showed in 2018, around 260,000 jobs were supported by the UK upstream oil and gas industry. If you are looking for a new role as a gas heating installation or service engineer or just considering your options, then this Gas Engineer bundle is a total gem for you. This Gas Engineer Bundle Consists of the following Premium courses: Course 01: Gas Engineer Course 02: Overview of Oil and Gas Industry Course 03: Oil and Gas Management Course 04: Gas Safety Course 05: Spill Management Training Course 06: COSHH Awareness Level 3 Course 07: DSEAR Training Course 08: Electrical and Fire Safety Training - Level 2 Course 09: Working in Confined Spaces Course 10: RIDDOR Training Course 11: First Aid Training Benefits you'll get choosing Apex Learning for this Gas Engineer: One payment but lifetime access to 11 CPD courses of this Gas Engineer Bundle Certificates and student ID for the Gas Engineer course are included in a one-time fee Full tutor support available from Monday to Friday with this Gas Engineer Bundle Accessible, informative modules of Gas Engineer bundles are designed by expert instructors CPD accredited So enrol now in this Gas Engineer Bundle to advance your career! The curriculum of the Gas Engineer Bundle Course 01: Gas Engineer Introduction Combustion Transmission System: Pipes and Flues Ventilation of Gas Engineering Tightness Testing Meter Regulator Checking of Gas Engineering Appliance Pressures and Gas Rates Emergency Isolation Controls and Valves Gas Safety Devices and Controls Gas Warning Labelling Emergency and Evacuation Procedures Chimney Standards, Inspection and Testing Gas Appliances and Safety ------------- 10 more premium courses-------------- How will I get my Certificate? After successfully completing the Gas Engineer course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Gas Engineer bundle is for everyone. Requirements Please note: This Gas Engineer course doesn't entitle you to practice as a professional in this specific field. Rather, this course will assist you in understanding the fundamentals so that you can improve your knowledge in the relevant field. Career path With lucrative professions and attractive starting salaries, there are many options for career progression by taking this course, such as: Gas Engineer Gas Service Technician Gas Engineering Apprentice Electrical Engineer Construction Worker Wielding Worker Technical professional Automobile industry And many more! Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - £20 You will get the Hard Copy certificate for the title course (Gas Engineer) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Gas Engineer Diploma - CPD Certified
Delivered Online On Demand
£39

English Essentials - Spelling, Punctuation & Grammar (QLS Endorsed)

By Imperial Academy

Free Level 5 QLS Endorsed Certificate | CPD Accredited | 150 CPD Points | Advanced Learning Materials | Lifetime Access

English Essentials - Spelling, Punctuation & Grammar (QLS Endorsed)
Delivered Online On Demand
£100

Functional Skills English - QLS Endorsed

By Imperial Academy

FREE Level 3 QLS Hard Copy Certificate | 120 CPD Points | Advanced Learning Materials | Lifetime Access | Tutor Support

Functional Skills English - QLS Endorsed
Delivered Online On Demand
£100

Solar Energy

5.0(10)

By Apex Learning

Overview This comprehensive course on Solar Energy will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Solar Energy comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Solar Energy. It is available to all students, of all academic backgrounds. Requirements Our Solar Energy is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 10 sections • 55 lectures • 11:44:00 total length •Module 1- Introduction To PV System Construction: 00:24:00 •Module 2- Solar Heating, Solar Irradiation And Panels: 00:38:00 •Module 3- Effect of Insolation and Temperature on V-I Curve: 00:05:00 •Module 4- PV Installation, Short Circuit And Open Circuit Tests Using Avometer: 00:15:00 •Module 5- Solar Wires And Cables Installation Process: 00:22:00 •Module 6- Mounting Of PV System: 00:04:00 •Module 7- Shading and Tilt angle In Solar Energy: 00:15:00 •Module 8- Half Cut Cell Technology In PV System For Solar Engineering: 00:25:00 •Module 9- Importance Of Charge Controller In Solar Energy System: 00:03:00 •Module 10- PWM And MPPT Charge Controllers: 00:14:00 •Module 11- Understanding More about MPPT Solar Charge Controller For Solar Energy Course: 00:24:00 •Module 12- Junction Box In Solar Energy System: 00:04:00 •Module 13- Wiring of Junction Box In Solar Energy System: 00:05:00 •Module 14- Function, Types And Data Sheet Of Inverter: 00:55:00 •Module 15- Determining PV Array Maximum System Voltage: 00:09:00 •Module 1- Construction And Types Of Batteries In Solar Energy System: 00:09:00 •Module 2- Charging Of Lead Acid Batteries And Hydrometer In Solar Energy System: 00:07:00 •Module 3- Maintenance Of Batteries And Methods Of Charging In Solar Energy System: 00:03:00 •Module 4- Cycle of Batteries: 00:04:00 •Module 1- Off-Grid Solar System: 00:02:00 •Module 2- Advantages of Off-Grid Solar System: 00:02:00 •Module 3- Equipment of Off-Grid Solar System: 00:04:00 •Module 4- Selection and Datasheet of the Panel: 00:04:00 •Module 5- Inverter Selection: 00:02:00 •Module 6- Example 1 On Designing Off Grid System: 00:01:00 •Module 7- Determine Power Consumption Demands: 00:04:00 •Module 8- Size the PV modules: 00:05:00 •Module 9- Inverter sizing: 00:04:00 •Module 10- Battery Sizing: 00:08:00 •Module 11- Solar Charge Controller Sizing: 00:05:00 •Module 12- MPPT Charge Controller Sizing: 00:10:00 •Module 13- Example 2 Design of an OFF Grid System: 00:20:00 •Module 1- Grid-Tied Solar System: 00:03:00 •Module 2- Advantages of Grid-Tied Solar System: 00:04:00 •Module 3- Equipment of Grid-Tied Solar System: 00:03:00 •Module 4- Example Design of an On Grid System: 00:10:00 •Module 5- PV Energy According to Area: 00:02:00 •Module 1- Design of an Off Grid Solar Energy System Using PVSYST Program: 00:28:00 •Module 2- Design Of An On Grid Solar Energy System Using PVSyst Program: 00:12:00 •Module 3- Mega PV System Design Using PVSyst Program For Solar Energy: 00:29:00 •Module 1- Introduction To Water Pumping System And Steps Of Design: 00:24:00 •Module 2- Solved Example On Solar Pumping System Design: 00:23:00 •Module 1- Introduction to Protection Of PV System: 00:07:00 •Module 2- Selection of Fuses and Protection of String: 00:13:00 •Module 3- Protection of Arrays: 00:07:00 •Module 4- Protection of Inverter: 00:07:00 •Module 5- Protection of Transformer: 00:07:00 •Module 6- Surge Protection Device: 00:02:00 •Module 7- Grounding of PV System: 00:07:00 •Module 8- Types of BusBars in PV System and Selection of BusBars: 00:12:00 •Module 1-Design Of Off Grid PV System Using Excel Sheet: 00:26:00 •Module 1- Single Line Diagram Of PV System And Selection Of Fuses And Breakers: 00:45:00 •Module 1- Simulation Of PV Cell In MATLAB And Obtaining V-I Characteristics: 00:28:00 •Module 2- Get a Complete Grid Connected PV Solar Energy System In MATLAB Simulink: 00:25:00 •Module 3- PV System Simulation Using ETAP Lesson: 00:24:00

Solar Energy
Delivered Online On Demand11 hours 44 minutes
£12