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48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! This Certificate in Bodyguard Training at QLS Level 3 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! Are you looking to improve your current abilities or make a career move? If yes, our unique Bodyguard Training at QLS Level 3 course might help you get there! It is an expertly designed course which ensures you learn everything about the topic thoroughly. Expand your expertise with high-quality training from the Bodyguard Training at QLS Level 3 course. Due to Bodyguard Training at QLS Level 3's massive demand in the competitive market, you can use our comprehensive course as a weapon to strengthen your knowledge and boost your career development. Learn Bodyguard Training at QLS Level 3 from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career. The Bodyguard Training at QLS Level 3 course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Bodyguard Training at QLS Level 3 course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this Bodyguard Training at QLS Level 3 course. This Bodyguard Training at QLS Level 3 training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer This Bodyguard Training at QLS Level 3 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Bodyguard Training at QLS Level 3 course: Module 01: Introduction to Bodyguard Training Module 02: Personal Security Module 03: Anti-Ambush Drills Module 04: Personal Search Techniques Module 05: On Foot Protection Module 06: Vehicle Escort Procedures Module 07: Surveillance and Basic Anti Surveillance Techniques Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Certificate in Bodyguard Training at QLS Level 3 exams. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Bodyguard Training at QLS Level 3 course is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want! Requirements Bodyguard Training at QLS Level 3 No prior background or expertise is required. Career path The Bodyguard Training at QLS Level 3 course will boost your CV and aims to help you get the job or even the long-awaited promotion of your dreams. Certificates Certificate in Bodyguard Training at QLS Level 3 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Certificate in Bodyguard Training at QLS Level 3, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme and also you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost. CPDQS Accredited Certificate Digital certificate - Included

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Course Description The Hospitality Management: Part 2 course is designed to give you a deeper understanding of different aspects of hospitality management. In this course, you are expected to learn about the arrival chronology, from greeting to check-in and check-out. You will be led through the procedures for the front office communications. In addition to that, the course will explain to you the role and functions of the Housekeeping department. You will also learn about the duties and responsibilities of a food and beverage manager. Doing this course will enable you to explain the importance of service quality in the hospitality sector. If all these sound good, enrol today and start learning!  Learning outcome  Learn about the arrival chronology Understand the procedures for the front office communications Know the role and functions of the Housekeeping department Explore the duties and responsibilities of a food and beverage manager Explain the importance of service quality in the hospitality sector How Much Do Restaurant Managers Earn? Senior - £32,000(Appx.) Average - £29,000(Appx.) Starting - £26,000(Appx.) Requirement Our Hospitality Management: Part 2 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Hospitality Management: Part 2 Module 01: Management of Front Office Operations 00:16:00 Module 02: Management of Housekeeping, Engineering and Security Operations 00:24:00 Module 03: Management of Food and Beverage Operations 00:17:00 Module 04: Management of Service Quality in Hospitality Industry 00:17:00 Assignment Assignment - Hospitality Management: Part 2 00:00:00

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.

If you aim to enhance your Engineering Project Management skills, our comprehensive Engineering Project Management course is perfect for you. Designed for success, this Engineering Project Management course covers everything from basics to advanced topics in Engineering Project Management. Each lesson in this Engineering Project Management course is crafted for easy understanding, enabling you to become proficient in Engineering Project Management. Whether you are a beginner or looking to sharpen your existing skills, this Engineering Project Management is the ideal choice. With our Engineering Project Management exclusive bundle, you will get a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. Courses are Included in This Engineering Project Management Bundle: Course 01: Engineering Management Course 02: Project Management for Managers Course 03: Site Management Course 04: Time Management Course 05: Quality Assurance (QA) Management Course 06: Compliance and Risk Management Level 5 (CPD Certified) with Cyber Security Why Choose Us? Get a Free CPD Accredited Certificate upon completion of this course Get a free student ID card with this Training This course is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Lifetime access to this course materials This course comes with 24/7 tutor support So enrol now in this Engineering Project Management Today to advance your career! Start your learning journey straightaway! This Engineering Project Management's curriculum has been designed by Engineering Project Management experts with years of Engineering Project Management experience behind them. The Engineering Project Management course is extremely dynamic and well-paced to help you understand Engineering Project Management with ease. You'll discover how to master the Engineering Project Management skill while exploring relevant and essential topics. Assessment Process Once you have completed all the courses in the Engineering Project Management bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Engineering Project Management bundle is suitable for everyone. Requirements You will not need any prior background or expertise. Career path This Engineering Project Management bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - £29 If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

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This course will start by making it very clear exactly what we mean by customer service, and why it’s so vital and then go into detail about some of the ways you can improve the customer service provided by your organisation.

This Diploma in Agricultural Science at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points) to make your skill development & career progression more accessible than ever! According to the latest statistics, the agricultural sector is responsible for employing around 3.8 million people in the UK, contributing around £10 billion to the economy. This industry is vital to food security, environmental sustainability, and rural communities. Our Agricultural Science course is designed to equip you with the knowledge and skills to become a competent and successful agriculturalist. The Agricultural Science course covers a broad range of topics from horticulture to animal farming, with each module offering valuable insights into the science behind agriculture. You will learn how to propagate plants, maintain soil health, and control pests and weeds. You will also discover the principles of permaculture, aquaculture, and animal farming. Our Agricultural Science course will empower you to contribute to the growth of the agriculture industry. After this Agricultural Science course, you will be able to learn: Understand the principles of horticulture and plant propagation Comprehend the science behind soil health and plant nutrition Gain knowledge of controlling plant pests and weeds Acquire practical skills in home gardening and ornamental plants Learn the principles of permaculture, aquaculture, and animal farming Understand the process of raising beef and dairy cattle Why Prefer This Agricultural Science at QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Agricultural Science at QLS Level 5 course: Module 1: Introduction to Agricultural Science Module 2: Horticulture and The Nursery Production Module 3: Plant Propagation Module 4: Soil Science Module 5: Plant Nutrition Module 6: Controlling Plant Pests Module 7: Weed Control Module 8: Home Gardening Module 9: Ornamental Plants Module 10: Cut Flowers Module 11: Permaculture Module 12: Aquaculture Module 13: Animal Farming - Raising Beef Cattle Module 14: Animal Farming - Milking of Dairy Cattle Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Agricultural Science at QLS Level 5 exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Agricultural Science course is for: Individuals who wish to pursue a career in agriculture Farmers who wish to expand their knowledge and skills Gardening enthusiasts who want to deepen their understanding of plants and soil Individuals who want to contribute to the sustainability of the environment Requirements No prior background or expertise is required. Career path The Agricultural Science at QLS Level 5 course will boost your CV and aims to help you get the job or even the long-awaited promotion of your dreams. Like as: Agricultural Scientist: £25,000 - £60,000 Farm Manager: £25,000 - £40,000 Horticulturist: £18,000 - £30,000 Agricultural Consultant: £20,000 - £50,000 Aquaculture Technician: £18,000 - £28,000 Dairy Farmer: £18,000 - £40,000 Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Agricultural Science at QLS Level 5 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Agricultural Science at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme and also you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.