3581 Operations courses in Westergate delivered On Demand

This Food Hygiene Level 1 course is for SPANISH Speaking People This Spanish Food Hygiene Level 1 course is perfect for anyone from a Food hygiene inspector to a Quality control technician. Are you passionate about cooking? Dream of mastering the art of gastronomy? Well, it all starts with the basics - ensuring your kitchen is not just a place of creativity but also a realm of safety and cleanliness. With our Food Hygiene Level 1 course, you'll take on a journey where knowledge meets flavour, and hygiene becomes your secret ingredient! According to Reed a Food safety officer can earn from £31,000 in a year depending on experience, location and other factors. Once you've mastered the art of food hygiene, there's no limit to what you can achieve in the kitchen. Say goodbye to worries about food safety and hello to culinary creativity! So enrol now! Translated in Spanish: Este curso de espa��ol de Higiene de los Alimentos Nivel 1 es perfecto para cualquier persona, desde un inspector de higiene de los alimentos hasta un t��cnico de control de calidad. ��Te apasiona la cocina? ��Sue��as con dominar el arte de la gastronom��a? Bueno, todo comienza con lo b��sico: garantizar que su cocina no sea s��lo un lugar de creatividad sino tambi��n un ��mbito de seguridad y limpieza. Con nuestro curso de Higiene de los Alimentos Nivel 1, emprender��s un viaje donde el conocimiento se une al sabor, ��y la higiene se convierte en tu ingrediente secreto! Seg��n Reed, un responsable de seguridad alimentaria puede ganar desde £31.000 al a��o, dependiendo de la experiencia, la ubicaci��n y otros factores. Una vez que domine el arte de la higiene de los alimentos, no habr�� l��mites para lo que puede lograr en la cocina. ��Diga adi��s a las preocupaciones sobre la seguridad alimentaria y hola a la creatividad culinaria! ��As�� que inscr��bete ahora! Key Features: CPD Certified Developed by Specialist Lifetime Access Course Curriculum Module 01: Introducci��n a la manipulaci��n de alimentos y la seguridad alimentaria Module 02: Bacterias y peligros microbiol��gicos Module 03: Higiene personal Module 04: Deterioro y almacenamiento de alimentos Module 05: Limpieza Module 06: Reapertura y adaptaci��n de su negocio de alimentos durante COVID-19 Learning Outcomes: Understand food handling and safety principles for hygiene compliance. Identify bacteria and microbiological hazards in food preparation environments. Implement personal hygiene practices to prevent food contamination risks. Recognize signs of food spoilage and apply appropriate storage techniques. Demonstrate proper cleaning procedures to maintain a hygienic food environment. Adapt food business operations in compliance with COVID-19 regulations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Food service employees Catering staff Restaurant managers Small food business owners Kitchen assistants Career path Food hygiene inspector Catering supervisor Restaurant manager Food safety officer Kitchen hygiene coordinator Quality control technician Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Are basic leadership and critical thinking abilities your strong point? Do you blossom with seeing day to day operations running easily? Do you know how to set goals clearly? Then this course is perfect for you to become the leader in managing businesses. Description: Business Corresponding refers to the exercises related to running an organisation, for example, controlling, leading, monitoring, organising and planning of a business. This course will set you up for a profession in a business administration condition where you will have the capacity to perform business-related exercises and in addition administration obligations viably. In this course you will cover various scopes like Business Communications which will no doubt enhance your ability.  Who is the course for? For employees who are aiming for a promotion, joining a team leader role for the first time or looking forward to becoming a top executive in business management. Or anyone who are interested in leading and managing their own business. Entry Requirement: This course is available to all learners, of all academic background. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Business Corresponding Diploma will be useful and would be beneficial for the management occupations especially the following careers: Administrative Services Manager Advertising, Promotions and Marketing Managers Agricultural Managers Architectural and Engineering Managers Compensation and Benefits Managers Computer and Information Systems Manager Construction Managers Financial Managers Food Services Managers Human Resources Managers Industrial Production Managers Management Directors Medical and Health Managers Natural Sciences Managers And other Top Executives Business Corresponding Diploma PART I-PREPARING TO WRITE THE LETTER-CHAPTER 1 01:00:00 PART I-PREPARING TO WRITE THE LETTER-CHAPTER 2 01:00:00 PART I-PREPARING TO WRITE THE LETTER-CHAPTER 3 01:00:00 PART I-PREPARING TO WRITE THE LETTER-CHAPTER 4 01:00:00 PART II-HOW TO WRITE THE LETTER-CHAPTER 5 01:00:00 PART II-HOW TO WRITE THE LETTER-CHAPTER 6 01:00:00 PART II-HOW TO WRITE THE LETTER-CHAPTER 7 01:00:00 PART III-STYLE-MAKING THE LETTER PERFECT-CHAPTER 8 01:00:00 PART III-STYLE-MAKING THE LETTER READABLE-CHAPTER 9 01:00:00 PART III-STYLE-MAKING THE LETTER PERFECT-CHAPTER 10 01:00:00 PART III-STYLE-MAKING THE LETTER READABLE-CHAPTER 11 01:00:00 PART IV-THE DRESS OF A BUSINESS LETTER-CHAPTER 12 01:00:00 PART IV-THE PRESENTATION OF A BUSINESS LETTER-CHAPTER 13 01:00:00 PART IV-THE PRESENTATION OF A BUSINESS LETTER-CHAPTER 14 01:00:00 PART IV-THE PRESENTATION OF A BUSINESS LETTER-CHAPTER 15 00:15:00 Mock Exam Mock Exam- Business Corresponding: Letter Writing Course 00:20:00 Final Exam Final Exam- Business Corresponding: Letter Writing Course 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Level 1 Certificate in Real Estate Principles and Practice Don't miss the chance to elevate your career with our Level 1 Certificate in Real Estate Principles and Practice. Seize the opportunity to master the market, outshine the competition, and become the tech-savvy real estate agent everyone needs. Enrol now - the property ladder won't climb itself Learning Outcomes: Gain a comprehensive understanding of the essential duties and responsibilities that underpin the role of a Real Estate Agents. Delineate the Spectrum of Real Estate Agent Specialisations. Learn to effectively organize and manage a Real Estate Agent's day-to-day activities using industry-standard tools and practices, ensuring a seamless flow of transactions and client interactions. Develop critical skills to appraise current listing strategies and employ innovative tactics that resonate with contemporary buyers and market demands. Construct and refine negotiation plans that are robust, client-centered, and designed to thrive in the fast-paced real estate environment. Leverage cutting-edge technology in real estate Operations; embrace and integrate the latest technological advancements in your practice to streamline processes More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Level 1 Certificate in Real Estate Principles and Practice Course Syllabus Understanding Estate Agent: Master the roles, requirements, and competitive landscape of being a Real Estate Agent. Different Types of Estate Agents: Understand the roles of Rental Agents, Property Negotiators, and Property Managers in the Real Estate Agent profession. Getting Started on the Job: Learn organizational and professional strategies for success as a Real Estate Agent. Listing Property: Finding the Sellers: Acquire skills for listing appointments, handling offers, and closing deals as a Real Estate Agent. Valuation Process: Master the valuation, evaluation, and appraisal processes, and maintain client relationships as a Real Estate Agent. Real Estate Negotiations: Understand the negotiation process and the importance of effective communication for a Real Estate Agent.

Retail Buying and Merchandising Level 1 Embark on your journey into the world of Retail with our Level 1 course in Retail Buying and Merchandising. Learn the basics of retail, delve into market trend analysis, and master retail pricing strategies. Explore the fascinating realm of consumer behaviour, discover the art of retail marketing and sales promotions, and delve into the psychology of retail. Gain insights into the dynamic world of multi-channel retailing, equipping yourself with the skills needed for success in the retail industry. Learning Outcomes: Conduct effective Retail Positioning and Market Trend Analysis. Implement Retail Pricing Strategies to optimize sales. Understand Consumer Behaviour dynamics in the retail industry. Leverage Retail Marketing & Sales Promotions for success. Apply Retail Psychology principles to enhance customer experience. Explore the world of multi-channel retailing for comprehensive knowledge. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Retail Buying and Merchandising Level 1 Course Syllabus Retail Buying and Merchandising Basics: Gain a fundamental understanding of retail operations, including the roles of buyers and merchandisers, inventory management, and product selection. Retail Positioning and Market Trend Analysis: Explore strategies for positioning retail businesses in the market, and learn how to analyse market trends to make informed buying and merchandising decisions. Retail Pricing Strategies: Discover various pricing strategies used in the retail industry to optimise profit margins. Consumer Behaviour in Retailing: Delve into the psychology of consumer behaviour within the retail environment, understanding how shoppers make purchasing decisions and the factors that influence them. Retail Marketing & Sales Promotions: Learn effective retail marketing techniques and sales promotion strategies to attract customers, boost sales, and create memorable shopping experiences. Retail Psychology: Explore the psychological aspects of retail, including store layout, visual merchandising, and customer engagement, to enhance the overall shopping experience and drive sales.

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.

The PMP course covers the latest trends, emerging practices, and core competencies that are required by a project management professional. Learners will also get an understanding of real-world scenarios through the case studies that are developed by the industry PMP-certified veterans.

Getting Started The CMI level 4 Certificate in Management and Leadership is designed for practising or aspiring middle managers. It focuses on developing personal management skills and growing professional capabilities such as decision-making, managing team dynamics and delegation competence. Our CMI Level 4 Certificate in Management and Leadership, a shorter course than the Diploma, will give you all the necessary skills and competencies to become a manager. You'll have a wide range of modules to choose from, and depending on your career goals, you can select the modules that will be most effective for your progression. Key Benefits For Learners: Develop personal and management capabilities Use of effective information to inform decisions Development of managing people and teams Develop operational skills For Organisations: Focusing on the specific leadership areas appropriate to you and your workplace. Key Highlights Do you want to improve your professional management skills and get hired to the next level of your career advancement? The CMI Level 4 Management and Leadership offered by the School of Business and Technology London is the ideal starting point for your career journey. 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 CMI-approved 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 The CMI Level 4 Management & Leadership can open many career pathways including, but not limited to: Manager, with an estimated salary of £38,000 per annum Deputy Manager, with an estimated salary of £34,384 per annum Duty Manager, with an estimated salary of £37,080 per annum Operational Manager, with an estimated salary of £46,814 per annum About Awarding Body Chartered Management Institute established over 60 years ago as the British Institute of Management back then; it has developed the UK's very first diploma in management studies. In the years that followed CMI has consistently been at the forefront of all aspects of management and leadership. Today CMI is the only chartered professional awarding body committed to offering the highest standards in management and leadership excellence. Presently over 100,000 managers use its unique services daily. CMI qualifications aim for managers and leaders at any level, and it remains the only Awarding Body which can award Chartered Manager status - the ultimate management accolade. Employers highly value the qualifications awarded by CMI, and boost your career prospects. What is included? Learn 100% online at your own pace Dedicated support from expert tutors Dedicated Support Desk Portal: You can raise queries, request tutor support and ask for a call back whenever you need guidance and assistance. Elevate Knowledge: Your tutors will provide formative assessment feedback for each module, helping you improve your achievements throughout the program Schedule online personal tutor meetings whenever you want, which will help you get the most out of your studies and provide guidance, support and encouragement 10 months support period 24-hour access to the online learning platform 'MyLearnDirect' Schedule live online classes for each module at your convenience. (Blended learning only) Quality learning resources and study guides developed by CMI-approved tutors. All assessment materials are conveniently accessible through the online learning platform 'MyLearnDirect' Induction: We offer online and flexible learning induction to help you settle in and prepare for your online studies Get Foundation Chartered Manager status upon course completion Access to CMI Management Direct. It has 100,000s of reliable and validated management and leadership resources, including company and industry reports, videos, checklists, E-books, and journals. You have access to CMI Membership and Support for the duration of your study. Assessment For each module you study, you will complete a written assignment of 2500 to 3,000 words and submit it online at your MyLearnDirect learning portal. The submitted assignments will be assessed by your CMI-approved tutor. Entry Requirements This course is designed for current or aspiring mid-level managers. You don't need any formal qualifications to study this course. However, to be eligible for this course, you must:  Be 19 years of age and over Have some team-leading or supervisory experience or managerial experience at the junior or middle management level Possess the ability to complete the Level 4 course Our friendly admissions advisors will provide the best advice, considering your needs and goals. Progression On successful completion of a CMI Level 4 course in Management and Leadership, a number of progression opportunities become available: Enhance your professional status by upgrading your CMI membership Progress to other qualifications at the same level (e.g. from Level 4 Award to Level 4 Certificate etc.) Progress to other qualifications at the next level (e.g. from Level 4 Certificate to Level 5 or 6 Certificate) Why gain a CMI Qualification? This online CMI Level 4 Certificate in Management and Leadership course is perfect if you are a current or aspiring mid-level manager looking to advance in your career. The CMI Level 4 Certificate in Management and Leadership course is for developing the role and skills of managers. It aims to develop personal management capabilities, effectively use information in decision-making and operations and develop skills in managing people. Once completing the CMI Level 4 Management and Leadership course, you can progress to: CMI Level 5 Qualifications in Management and Leadership CMI Level 5 Qualifications in Coaching and Mentoring Studying for a CMI qualification offers you more than just academic standing. When you enrol with us for the CMI Level 4 Certificate in Management and Leadership, you will have access to CMI Membership and Support for the duration of your study alongside your qualification. CMI graduates achieve remarkable things: 72% agree that their CMI qualification gave them a competitive edge in the job application process. 89% agree they use the skills learnt on their accredited qualification in their current role. 88% agree that the accredited qualification gave them good career prospects. Recent CMI graduates earn a median of 28k compared to just 21k for a typical business studies graduate. Employers highly value the qualifications awarded by CMI, and over 80% of managers agree that a CMI qualification is essential to becoming a professional manager. Learners need to complete any combination of units to a minimum of 13 credits. The minimum Total Qualification Time is 130 hours, including 45 Guided Learning Hours. 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- Managerial Styles and Behaviour Reference No : Unit 4001V1 Credit : 6 || TQT : 60 LEARNING OUTCOME 1. Understand how management style can influence managerial behaviour. 2. Understand the need to apply a range of management styles. 3. Understand assumptions about human nature and managerial behaviour. UNIT2- Managing Stakeholders' Expectations Reference No : Unit 4002V1 Credit : 7 || TQT : 70 LEARNING OUTCOME 1. Understand and know organisational stakeholders. 2. Understand primary and secondary stakeholder expectations. 3. Be able to develop provisions offered to primary and secondary organisational stakeholders. UNIT3- Understanding organisational culture, values and behaviour Reference No : Unit 4003V1 Credit : 7 || TQT : 70 LEARNING OUTCOME 1. Understand the concept of culture to an organisation. 2. Understand the impact of values that underpin individual and organisational performance. 3. Understand the relationship between values and behaviour. UNIT4- Personal development as a manager and leader Reference No : Unit 5001V1 Credit : 6 || TQT : 60 LEARNING OUTCOME 1. Be able to assess and plan for personal professional development. 2. Be able to plan the resources required for personal professional development. 3. Be able to implement and evaluate the personal development plan. UNIT5- Management report writing Reference No : Unit 4005V1 Credit : 7 || TQT : 70 LEARNING OUTCOME 1. Understand the purpose of management reporting. 2. Be able to construct a written management report. 3. Understand the collection and analysis of data and information required for a written management report. UNIT6- Managing interviews Reference No : Unit 4007V1 Credit : 7 || TQT : 70 LEARNING OUTCOME 1. Understand the contexts of different types of interview. 2. Understand the skills of interview techniques. 3. Understand the summarising, closing and follow up of interviews. 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. Management Direct As part of the program, you will get access to CMI Management Direct, which provides a rich foundation of management and resource for students. The Management Direct is packed with content, including: E-Books Articles Leader videos Idea for leaders Models and so much more... 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.

Are you ready for a career that combines excitement, responsibility, and impressive earning potential? In the UK, the demand for highly trained close protection professionals continues to grow, with an increasing need for personal security services in various sectors. As a highly trained Close Protection & Bodyguard professional, you'll be at the forefront of safeguarding VIPs, executives, celebrities, and high-profile individuals. Experience the thrill of ensuring their safety while earning hourly rates of up to £50. Join the elite ranks of close protection experts and make your mark on the world of celebrities. Start your Close Protection & Bodyguard Training journey today! Our close protection and bodyguard training course provides a solid foundation in all aspects of close protection, including threat assessment, route planning, and legal considerations. With a focus on useful close protection & bodyguard skills and real-world scenarios, students will develop the expertise required to handle high-pressure situations and provide professional security services. Get 6 CPD Accredited Close Protection & Bodyguard Training Courses for only £41 Course 01: Close Protection Course 02: Bodyguard Training Course 03: Security Management Course 04: Lifeguard Training Course 05: Criminal Intelligence Training Course 06: Basic Life Support (BLS) Certification Close Protection & Bodyguard Training Learning Outcomes: Understand close protection principles and team roles. Develop threat assessment and security implementation skills. Gain proficiency in vehicle drills, route selection, and reconnaissance. Acquire bodyguard training knowledge and techniques. Develop effective security management strategies. Obtain lifeguard skills and knowledge. Gain expertise in criminal intelligence training and investigation. Obtain Basic Life Support (BLS) certification for emergency medical care. Close Protection & Bodyguard Training Curriculum Breakdown of the Close Protection & Bodyguard Training Bundle Curriculum Breakdown of Close Protection Module 01: Introduction to Close Protection Module 02: The Close Protection Team Module 03: The Planning Module 04: Threat Assessment Module 05: Vehicle Drills: Embus and Debus Module 06: Route Selection and Reconnaissance Module 07: Legislation Regarding Close Protection Curriculum Breakdown of Bodyguard Training Module 01: Introduction to Bodyguard Training Module 02: Personal Security Module 03: Laws and Legislation Module 04: Threat Assessment and Risk Management Module 05: Operational Planning and more... Curriculum Breakdown of Security Management Module 01: Introduction to Security Management Module 02: Organisational Security Management Module 03: Security Risk Analysis and Risk Reduction Module 04: Physical and Information Security Protection Module 05: Business Resilience and Crisis Management and more... Curriculum Breakdown of Lifeguard Training Module 01: Professional Lifeguard Module 02: Lifeguard Observation Module 03: Safety and Risk Management Module 04: Emergency Response Activity Module 05: Assists and Rescues and more... Curriculum Breakdown of Criminal Intelligence Training Module 01: Introduction to Intelligence Analysis Module 02: Criminal Intelligence Analysis Module 03: Criminal Intelligence Analyst - Skills and Competencies Module 04: Understanding Criminal Psychology Module 05: Research Methods in Crime Analysis and more... Curriculum Breakdown of Basic Life Support (BLS) Certification Module 1. Introduction to Basic Life Support Module 2. Basic Life Support for Adults Module 3. Basic Life Support for Children Module 4. Basic Life Support for Infants Module 5. Cardiopulmonary Resuscitation Objectives and more... CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is designed for individuals seeking comprehensive training in close protection and bodyguarding. It is suitable for aspiring close protection officers, security personnel, law enforcement professionals, and individuals interested in pursuing a career in personal protection. Career path Close Protection Officer - £30-60k/year Executive Protection Specialist - £40-80k/year Private Security Consultant - £35-70k/year Security Operations Manager - £35-60k/year Personal Security Detail Supervisor - £45-85k/year Certificates Certificate of completion Digital certificate - Included Get 6 CPD accredited PDF certificate for Free. Certificate of completion Hard copy certificate - £9.99 Get 6 CPD accredited Hardcopy certificate for £9.99 each. The delivery charge of the hardcopy certificate inside the UK is £3.99 each, and international students need to pay £9.99 each to get their hardcopy certificate.

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00

Port Management Diploma Description Since 1999, the Diploma in Port Management has been recognised as a leading qualification for port managers, governments, terminal operators, and port companies. Human proficiency is the most crucial factor in the effective operation of port and transport services. A successful and well-run port contributes to the economy; therefore port personnel must be apprised and updated with all the relevant innovations available.  The Port Management Diploma is ideal for port management professionals needing to build on their knowledge in order to meet their day-to-day challenges more effectively. It is designed to give you the skills to develop professionally in port administration, port and harbour management and port operations for the global maritime supply chain. This course will provide opportunities for you to thoroughly understand the role of port especially in the international trade and logistic chain as the 'economic engine' of development. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Port Management Course Certification After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Port Management Course for? Port Management Diploma is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Port Management Diploma is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction to Ports UK Ports Overview 00:30:00 Fundamentals of Ports 00:45:00 Different Types of Port 00:45:00 Port and Terminal Management Understanding Port and Terminal Management 00:30:00 Planning & Design 00:15:00 Financial & Professional Services 00:30:00 Port Management 00:15:00 Safety & Security 00:15:00 Port Equipment 00:30:00 Software & Solutions 00:30:00 Port Development Introduction to Port Development 00:45:00 Growth of the World's Leading Ports 00:45:00 Developments in Terminal Operation 00:45:00 Impact of Changing Ship Technology on Ports Introduction to Ship 00:30:00 Effect of Port Time on Ship Speed 00:30:00 Port Administration, Ownership and Management Types of Port Ownership and Administration 00:45:00 Organisations Concerning Ports 00:30:00 The Rise and Fall of Ports 00:30:00 Information Technology in Logistics 00:30:00 Safety 00:20:00 Port Policy Maritime Policy 00:30:00 Port Policy 00:45:00 Port Pricing 00:20:00 Glossary of Port and Shipping Terms Glossary & Shipping Terms 01:00:00 Mock Exam Mock Exam - Port Management Diploma 00:20:00 Final Exam Final Exam - Port Management Diploma 00:20:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00