3326 Employment courses

Do you need a qualification in data protection or are you thinking about learning more about data protection for your organisation? The BCS Practitioner Certificate in Data Protection designed for those with some data protection responsibilities in an organisation and wish to achieve and demonstrate a broad understanding of the law and progresses from what is taught in the BCS Foundation Certificate in Data Protection.

This Level 3 Diploma in Skills for Business: Human Resources bundle helps you achieve a rewarding career in a rapidly growing profession. You can find many opportunities by utilising the knowledge to work in established organisations and help people cope with personal and professional difficulties. We offer you a complete training bundle developed and conducted by highly experienced and successful experts in the field. The Level 3 Diploma in Skills for Business: Human Resources bundle teaches you the related topics from the ground up, step by step, diving into all the core basics, exploring tons of examples and introducing you to advanced concepts. You'll get all the theory, tons of examples and demos, assignments and exercises, and essential knowledge skipped by most other resources. This Level 3 Diploma in Skills for Business: Human Resources Bundle consists of the following 20 CPD Accredited Premium courses - Course 1: HR Management Course 2: UK Employment Law Course 3: Interview and Recruitment Course 4: Recruitment and Termination Course 5: Safer Recruitment Training Course 6: Employee Performance Management Course 7: Workplace Confidentiality Course 8: General Data Protection Regulation (GDPR) Awareness Course 9: Workplace Productivity Course 10: Leadership and People Management Diploma Course 11: Change Management Course 12: Team Management Course 13: Stakeholder Management Course 14: Contract Analyst Course 15: Employee Relations Course 16: Corporate Governance Course 17: Online Meeting and Virtual Conference Course 18: Facilities Management Course 19: Motivation Course 20: Life Coaching and Career Counselling 5 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01 :Career Development Plan Fundamentals Course 02 :CV Writing and Job Searching Course 03 :Interview Skills: Ace the Interview Course 04 :Video Job Interview for Job Seekers Course 05 :Create a Professional LinkedIn Profile Learning Outcome of the Level 3 Diploma in Skills for Business: Human Resources bundle Be competent in the related fields Thoroughly understand the roles and responsibilities Ability to spread your knowledge to others Understand the career prospects in the related industries Stand out from the crowd with your newly acquired knowledge Tips for starting a career in this field This Human Resources Coordinator Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Certification After studying the complete training you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course for free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Training will be beneficial for everyone but ideal for anyone looking to start a career as Human Resources Coordinator. In addition, existing workers in the related industry can also find much helpful knowledge in the bundle. Further progress towards - NCFE Level 3 Diploma in Skills for Business: Human Resources Requirements To participate in this course, all you need is - A smart device A secure internet connection And a keen interest in Human Resources Coordinator Career path The Human Resources Coordinator Bundle will boost your CV and help you stand out from the crowd in the job market. Get noticed by employers by flexing your newly gained knowledge.

Premium Bundle of all Time | Ofqual Regulation + ATHE Awards + QLS Endorsement | Assessment & Tutor Support Included

Learn how to become a dietitian and nutritionist by mastering the knowledge and skills in this course. Learn about weight loss secrets and how to create a diet and nutrition plan for yourself or your clients. This Diet and Nutrition course provides a comprehensive guide to becoming a dietitian and nutritionist in the future. So, enrol now and learn the secrets of health and fitness. The Diet and Nutrition course explains nutritional balance, how much food we should consume daily, and the proper way to keep your body fit and sound with an in-depth understanding of the food and nutrition system. It also emphasizes weight-loss techniques, workout plans, and effective diets, as well as practical guidelines and strategies. The course is equally beneficial for those who want to gain knowledge about health and nutrition systems and those who want to pursue a career as a professional. Throughout the course, you will be guided through a wide range of subject matter to develop skills to become a valuable healthcare professional or start your own business in this sector. Learning Outcomes By the end of the Diet and Nutrition course, Learner will be able to: Describe the fundamentals of diet and nutrition. Describe dietary nutrition. Explain food composition. Understand the principles of healthy eating. *** Courses are included in this Diet and Nutrition Bundle Course *** Course 01: Diet and Nutrition Course 02: Level 1 Certificate in Well-being Course 03: Level 5 Diet and Nutrition Advanced Diploma Course 04: Level 5 Diploma in Nutrition Course Course 05: Level 5 Nutritional Therapy Course Course 06: Level 2 Award in Nutrition and Health Course 07: Diploma in Sports Nutrition Course 08: Nutrition Course (Level 3 Certificate) [ Note: Free PDF certificate as soon as completing the Diet and Nutrition course] Course Curriculum of- *** Diet and Nutrition *** Module 1: Introduction Module 2: Dietary Nutrition Module 3: Food Composition Module 4: Principles of Healthy Eating Assessment Method After completing each module of the Diet and Nutrition Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Diet and Nutrition course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Our Diet and Nutrition is ideal for anyone looking to build a rewarding career in the field. Successful candidates may choose to continue their education at a higher level, increasing their employment opportunities. An accredited award may also be useful for candidates interested in working as freelance or self-employed dietitians or nutritionists. With a Level 1 Diet and Nutrition Award on your CV, you will be looking at a brighter future for life, no matter your current position or objectives! Once again, our exclusive courses are open to candidates from all backgrounds, with no geographical restrictions or deadlines to contend with. So, make your study schedule, working at a time and pace that works for you. And, with no additional fees at any time, our courses offer unbeatable value for money. Requirements There are no specific requirements for this Diet and Nutrition course because it does not require any advanced knowledge or skills. Students who intend to enrol in this course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path Diet and Nutrition course is a field with virtually limitless opportunities for self-employment and freelance work. Successful candidates may also pursue a more particular stance which includes: Sports Nutritionist Health Coach Nutritionist Holistic Health Nutritionist Certificates Certificate of completion Digital certificate - Included

Embark on a journey to become a workplace hero with our comprehensive one-day First Aid course. This dynamic and engaging training program is designed to equip you with the essential skills and knowledge needed to handle emergency situations confidently and effectively.

PTLLS is a teacher training qualification for those new to teaching / training industry or wanting to start out as associate teachers, or currently teaching. Learn More Academy has been delivering the Level 3 Preparing to Teach in the Lifelong Learning Sector (PTLLS) or newly branded AET course. Level 3 Award in Education and Training (AET) course is designed to contribute towards the knowledge and understanding for Further Education National Training Organisation (FENTO) or the Employment National Training Organisation (EMPNTO) occupational standards in the United Kingdom. This course is designed for anyone wishing to enter in the adult training and teaching industry in this country and even some other country too. ABOUT THIS COURSE: The Level 3 Award in Education and Training AET (formerly known as PTLLS) is an introductory, knowledge based teaching qualification. It can be undertaken by individuals who are not yet in a teaching or training role (pre-service), or are currently teaching or training (in-service). This qualification is delivered on our online or classroom based learning platform with full tutor support throughout the course. UNITS COVERED: Chapter 1: The roles and responsibilities of a teacher / Trainer in education & Training Chapter 2: Relationships between education and training Chapter 3: Inclusive teaching approaches to meet the needs of learners Chapter 4: Principle of assessment in Education and Training Chapter 5: How to create a safe and supportive learning environment Chapter 6: How to motivate learners Chapter 7: Planning, delivery and evaluation of inclusive teaching and training Chapter 8: Different assessment methods Chapter 9: How to recognise and deal with potential problems Chapter 10: Teaching equipment and aids Chapter 11: Practical teaching sessions (Teaching concept and Technique) CAREER OPPORTUNITY: With this qualification you will be able in teaching any adult in the industry of varieties sectors such as Health Industry, Beauty Industry, NHS Trusts, various Police forces, Midwives, Librarians, Laboratory Technicians, HM Forces, Teaching Assistants, Higher Education Teaching Professional, Further Education Teaching Professionals, Secondary Education Teaching Professionals, Primary and Nursery Education Teaching Professionals, Special Needs Education Teaching Professionals, Security Industry, Teaching/Training, Educational Support Assistants, Education Advisers and School Inspectors, Veterinarians, Nurses, Care sector, First Aid sector, Care Instructor, Driving Instructors and many more. STUDY METHOD: You can complete this course either through Distance Learning / Online, Face to Face or Live zoom class. Level 3 AET distance learning course is done at your own pace with a Tutor’s support & guidance. All necessary materials will be sent to you with login details with student portal access, once you book the course. The entry requirement for this course are the basic functional skills (Numeracy, Literacy, ICT). You will be given up to 3 months to complete the assignments, however if you finish earlier, you will be awarded early, you do not need to wait for last minute. Within the 12 weeks, you need to do your micro-teach. FACE TO FACE OR LIVE ZOOM CLASS: We have 3 days Live Zoom or Face to Face classroom session from 10am to 5pm around the country. This course will be taught and trained by an experienced teachers, who will use a wide range of teaching activities; including lectures, group work, discussion, demonstrations, candidates presentations and many more activities that help learning. Micro Teaching session will be held on last day of the course where trainee teachers prepare and deliver a short teaching and learning session to their peers. After 3 days session you are required to complete the coursework/assignment and send them for marking, it takes 7-8 day to get the result and certificate. COURSE ASSESSMENT: There is no formal examination is required, but at the end of the course you need to submit a portfolio assignment. HOW MUCH THIS COURSE COST? Level 3 PTLLS/AET course will cost for Online Distance Learning £190.00, for Webinar Live Class £249.99, Classroom based course in London £269.99 and Classroom based in Outside London £299.99. There is no any hidden fees/cost.

accredited hypnotherapy training in person and online, expert tuition, free online taster course, contact us now for further details

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

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.

PRINCE2 is a process-based project management methodology that offers a flexible and scalable solution to handle all kinds of projects. This is why many organisations favour it since it fosters better collaboration between team members and external stakeholders. Course Overview PRINCE2 is a process-based project management methodology that offers a flexible and scalable solution to handle all kinds of projects. This is why many organisations favour it since it fosters better collaboration between team members and external stakeholders. The PRINCE2 certification will surely help learners advance in terms of worth and employment opportunities if they list it as a skill in their resumes. This 3-day introductory PRINCE2® Foundation course is designed to give candidates a comprehensive overview of the PRINCE2® methodology. They will learn about various essential topics such as integrated elements, applying PRINCE2®, delivery approaches, processes, principles, tailoring, etc. The PRINCE 2 foundation course will introduce project management to students. This course will focus on different aspects of project management, providing the knowledge, tools and techniques used to understand each concept and methodology. At the end of this PRINCE2® Foundation course, delegates will be able to perform various project manager activities in an organisation effectively and efficiently. They will also be able to use various PRINCE2® methodologies properly. This training will also cover the following concepts: • Project management • Projects in context • Measuring success • Tailor to suit the project • Embedding PRINCE2® • Tailoring constraints and influences Who it’s for? Prerequisites: In this PRINCE2® Foundation course, there are no formal prerequisites. PRINCE2 Foundation can be studied on its own or as a prerequisite for the PRINCE2 Practitioner course This PRINCE2® Foundation course is designed for anyone who wants to gain in-depth knowledge about project management methodologies. What's Included in this PRINCE2 Foundation Training Course? The following is included in this PRINCE2® Foundation training course: • PRINCE2® Foundation Examination • Pre-course material • PDUs • Experienced PRINCE2® Instructor • Certificate • Refreshments PRINCE2® Foundation Exam: The PRINCE2® Foundation examination Focuses on knowledge of PRINCE2® as a methodology. • Type of Questions: Multiple choice. • Total Questions: 60. • Number of marks: 60 marks, each question is worth 1 mark. • Pass mark: 55%, or 33/60. • Duration: 60 Minutes. • Material allowed: No, this is a ‘closed book’ exam. This PRINCE2® foundation training course covers the following topics: Module 1: Introduction to Projects and the PRINCE2® Methodology: • PRINCE2® “Project” Definition • Project Characteristics • Project Management • What is PRINCE2®? • Four Integrated Elements • What Does PRINCE2® Not Provide? • What Makes a Project a PRINCE2® Project? Module 2: Project Manager Activities: • Customer/Supplier Environment • Projects in Context • Commercial Environment • Applying PRINCE2® • Delivery Approaches • Measuring Success • Organisational Capability • Seven Processes Module 3: Seven Themes: • Business Case • Organisation • Quality • Plans • Risk • Change • Progress Module 4: Seven Principles: • Continued Business Justification • Learn from Experience • Defined Roles and Responsibilities • Manage by Stages • Manage by Exception • Focus on Products • Tailor to Suit the Project Module 5: Considerations for Organisational Adoption: • Creating a PRINCE2® Based Project Management Method • Creating Tailoring Rules and Guidelines • Rating the Complexity of Projects • Embedding PRINCE2® • Tailoring • What Should Be Tailored? • Tailoring Constraints and Influences • Creating an Organisation’s Method DURATION 2-3 days WHATS INCLUDED Course Material Case Study Experienced Lecturer Refreshments Certificate