33410 Design courses in Hamilton delivered On Demand

Level 4 Diploma(FREE QLS Endorsed Certificate)| 11 CPD Courses+11 PDF Certificates| 150 CPD Points|CPD & CiQ Accredited

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

When you're looking at a successful restaurant, you're also looking at a well-organized management system. Without proper knowledge of managing every sector of the business, it's doomed to fail. This is one of the best food business management courses which covers a broad range of topics from how to decide and design on the concept to maintain the insurance policy. After finishing, you'll have a wealth of knowledge in various topics related to this field. You'll be able to write a solid business plan and make the right strategy for your business. You'll also have some heads up about your upcoming challenges and will learn how to tackle them efficiently. This course will also provide you with some real-life success stories and discuss how they did it. Why Choose this Course? Get a Food and Beverage Manager Training Diploma E-Certificate upon successful completion for free. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The Food and Beverage Manager course is delivered through our online learning platform, accessible through any internet-connected device. No formal deadlines or teaching schedules are included, providing a flexible study plan.  We broke down the course into several manageable modules which we believe will assist you to grasp each concept more efficiently - from the fundamentals to the most advanced aspects of the course. The experts will teach you through a combination of: Video tutoring Online study supplies Mock tests Multiple-choice evaluation Certification After completing the Food and Beverage Manager course successfully, you'll get an e-certificate without any cost. If you desire a print copy of the certificate, we can send it to you by post. For this, you will need to pay a minute amount of additional cost, which is £9.99 and PDF Certificate is available at £4.99. Who is this course for? The Food and Beverage Manager course is suitable for anyone who wants to gain extensive knowledge, potential experience, and professional skills in the related field. Industry experts designed this course, so you don't have to worry about the quality.  Most importantly, this course does not require any experience or qualification to get enrolled. You will learn everything that is needed from this complete Food and Beverage Manager course. This is an excellent opportunity for anyone to learn more and advance their learning skills, launch a new career or reinvigorate an existing one.

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Overview In the realm of public health, Epidemiology in Public Health stands as the sentinel of population wellbeing. The UK's commitment to public health is evident, with the government allocating £3.9 billion to public health services in 2019/20. This Epidemiology in Public Health course unveils the intricate world of disease patterns and health determinants, equipping you with the tools to safeguard communities. As the UK faces evolving health challenges, from emerging infectious diseases to chronic conditions, the demand for skilled epidemiologists continues to rise. The Office for National Statistics reports that life expectancy improvements have slowed since 2011, highlighting the crucial need for epidemiological insights. This course delves into the core principles of Epidemiology in Public Health, from understanding disease occurrence to analysing outbreaks. You'll master the art of study design, measure risk with precision, and grasp the epidemiological concept of population. Join us in the pursuit of public health excellence, where Epidemiology in Public Health becomes your lens to view and transform the health landscape. Whether you're tracking epidemics or preventing diseases, this Epidemiology in Public Health course will be your cornerstone in shaping a healthier future. In this Epidemiology Course, you will: Sharpen your skills to help you advance your career. Acquire a comprehensive understanding of various related topics and tips from industry experts. Learn in-demand knowledge and skills in high demand among UK employers, which will help to kickstart your Epidemiology in Public Health Course career. Enrolling in the Epidemiology in Public Health Course can assist you in getting into your desired career faster than you ever imagined. So, without further ado, start now! Process of Evaluation After studying the Epidemiology course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Epidemiology course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Epidemiology is suitable for anyone aspiring to start a career in Epidemiology; even if you are new to this and have no prior knowledge on Epidemiology, this course is going to be very easy for you to understand.  And if you are already working in the Epidemiology field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Epidemiology course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Epidemiology course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Epidemiology course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Epidemiology course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Module 01: Understanding Epidemiology Understanding Epidemiology 00:18:00 Module 02: Principles of Epidemiology Principles of Epidemiology 00:20:00 Module 03: Study Design Study Design 00:24:00 Module 04: Disease Occurrence Disease Occurrence 00:19:00 Module 05: Variation in Disease by Time, Place, and Person Variation in Disease by Time, Place, and Person 00:15:00 Module 06: Epidemics and Outbreaks Epidemics and Outbreaks 00:26:00 Module 07: Measures of Risk and Disease Prevention Measures of Risk and Disease Prevention 00:23:00 Module 08: Measures of Disease Frequency Measures of Disease Frequency 00:22:00 Module 09: Role of Epidemiology in Public Health Role of Epidemiology in Public Health 00:17:00 Module 10: The Epidemiological Concept of Population The Epidemiological Concept of Population 00:22:00 Assignment Assignment - Epidemiology 00:00:00

In this course, we will learn about the future's technology called WebRTC by building two real-world chat applications. We will learn what is WebRTC, why it is important, how it works, and cover the different protocols used in WebRTC. A basic understanding of HTML, CSS, and JavaScript is required.

Step into the world of professional mastery where business acumen meets organisational finesse. This comprehensive course seamlessly weaves together the threads of Office Management, Business Administration, and Retail Customer Service, transforming you into a virtuoso of corporate excellence. Unlock the gateway to success as you delve into the intricacies of effective office administration, honing skills that transcend the ordinary and catapult you into the echelons of business leadership. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access From mastering conflict resolution to crafting a corporate brand that resonates, each module serves as a stepping stone towards managerial prowess. Dive deep into the art of building robust organisational structures and cultivating a customer-centric ethos. Leadership essentials await, equipping you with the skills to train employees for success, manage operations seamlessly, and ensure financial prowess. Whether you're navigating the intricate dance of retail management or decoding the nuances of the sales process, this course offers a holistic journey through the corridors of business expertise. Join us, and let your career trajectory soar to new heights, armed with the knowledge to shape businesses and leave an indelible mark in the realm of corporate excellence. Course Curriculum Module 01: Introduction to Business Administration Module 02: Administrator Proficiency Skills Module 03: Conflict Management Strategies Module 04: Corporate Brand Development Module 05: Organizational Structure Design Module 06: Ethics and Customer-Centric Teams Module 07: Efficient Operations Management Module 08: Leadership Essentials and Employee Training Module 09: Financial Management and Succession Planning Module 10: Product Marketing Strategies Module 11: Building Successful Teams and Products Module 12: Effective Retail Management Module 13: Sales Process Optimization and Customer Checkout Module 14: Understanding Financial Terms in Business Learning Outcomes: Master conflict resolution techniques vital for effective office management. Design and implement organisational structures to enhance operational efficiency. Develop skills to build and nurture a compelling corporate brand identity. Cultivate ethics within your team, focusing on exceptional customer care. Acquire essential leadership skills for training employees and ensuring success. Gain proficiency in retail management, from product placement to customer checkout. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring office managers seeking comprehensive administrative and leadership skills. Business professionals aiming to enhance their strategic and ethical decision-making abilities. Individuals interested in retail management and customer service excellence. Those seeking knowledge in designing organisational structures and managing operations. Entrepreneurs desiring a holistic understanding of business administration and retail. Career path Office Manager Business Administrator Corporate Brand Manager Retail Manager Operations Specialist Customer Service Team Lead Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

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.

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

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