32275 Design courses delivered On Demand

On line - on demand course on hand embroidery - full instructions and materials list included or you can purchase a kit from Stitching Kitchen

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Everyone thinks that they can bake and decorate a cake, but there's a difference between a homemade cake and a professionally baked and decorated cake that you see displayed in bakery windows. Start your journey through the exciting world of cake decorating and get techniques from the industry experts, with our Cake Decorating Course - Level 4 course. Whether you're keen to take your baking hobby to the next level, or you want to start your own cake baking and decorating service, this cake decoration and design course will teach you the practical skills you need to get started. Throughout this Cake Decorating Course - Level 4, you'll learn expert decorating techniques, including how to sculpt and create breath-taking cakes for various special occasions. Want to get creative with frosting and icing to really impress clients? This cake decorating and design course will teach you the perfect piping techniques to help you out. Enrol today and turn your passion into a profitable business! Benefits of studying Cake Decorating Course - Level 4 with Janets include: Earn a digital Certificate upon successful completion. 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 Learning Outcomes of Cake Decorating Course - Level 4: Discover the techniques, skills, and practical knowledge you need to bake and decorate beautiful cakes for any occasion Explore the history and popular methods of cake decorating to master the art of cake decoration Explore popular cake decorating styles and designs Familiarise with expert cake decorating supplies and equipment Familiarise with classic cake recipes and learn how to recreate those recipes for your personal hobby or business Understand the techniques of frosting, icing and working with chocolates Learn how to create standout stands and displays for layer cake decoration Get expert guidance on starting your own baking and cake decorating business Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Assignment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment To successfully complete the 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 course. After successfully passing the exam, you will be able to apply for Quality Licence Scheme endorsed certificate of achievement. To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Who is this course for? This Cake Decorating Course - Level 4 is perfectly designed for the learners who take deep interests in this topic and want to explore the subject and the relevant industry. The course will expedite the newcomers to establish an astounding career in this arena. With this skills and knowledge-based course, anyone can earn expert excellence and move the career forward. Career path After completing this Cake Decorating Course - Level 4 course and with experience, you could progress to the highest standard of this field.

Unlock the secrets to crafting your signature style with our comprehensive course, 'Fashion Stylists Unveiled.' Master the fundamentals of fashion styling, delve into fabric artistry, and explore innovative strategies for body shape styling. From creative style conceptualization to fashion media skills, this course is your gateway to a successful career in the dynamic world of fashion. Join us and discover the key to nailing your unique fashion identity.

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.

Web API use has increased exponentially in the programming world. This course will provide significant knowledge of implementing Minimal API for your next RESTful API-related project. You will be certain to use the building concepts with ease by following a step-by-step approach. Gain the confidence to instantly create a new Minimal API project with ease.

Wedding Planner: Wedding Planner Training If you want to learn about Wedding Planner and become an expert in the field, you have arrived at the right place. Industry experts designed this Wedding Planner course to enable you to learn quickly and efficiently and at your own pace and convenience. A wedding planner is a professional who works with a client to design, plan, and manage their wedding. Weddings are important events in people's lives, so couples are often willing to spend a significant amount of money to ensure that their weddings are well-organized. Our Wedding Planner course will teach you how to design, plan and host the wedding perfectly in simple and practical ways. The Wedding Planner program is ideal for those who want to work as an event organizer. Enrol Wedding Planner Course today and take the next step towards your personal and professional goals. Learning Outcomes of Wedding Planner: Wedding Planner course By the end of the Wedding Planner: Wedding Planner course, learners will be able to: The Wedding Planner course helps to understand how to set a realistic wedding budget. The Wedding Planner explains special considerations. Wedding Planner describes the ceremony text. Understand how to arrange a wedding reception from this Wedding Planner course. Special Offers of this Wedding Planner: Wedding Planner Course This Wedding Planner Course includes a FREE PDF Certificate. Lifetime access to this Wedding Planner Course Instant access to this Wedding Planner Course Get FREE Tutor Support from Monday to Friday in this Wedding Planner Course Courses are included in this Wedding Planner, Event Management & Photography Bundle Course Course 01: Level 5 Diploma in Wedding Planner Course 02: Level 7 Diploma in Event Management Course 03: Photography Course 04: Level 3 Supervising Food Safety in Catering [ Note: Free PDF certificate as soon as completing the Wedding Planner: Wedding Planner, Event Management & Photography course] [ Note: Free PDF certificate will provide as soon as completing the Wedding Planner course ] Wedding Planner: Wedding Planner Training Industry Experts Designed this Wedding Planner: Wedding Planner course into 9 detailed modules. Course Curriculum of Wedding Planner: Wedding Planner Training Module 1: Setting the Tone for Your Wedding Module 2: Deciding Who the Participants Will Be Module 3: Planning the Ceremony Location Module 4: How to Set a Realistic Wedding Budget Module 5: How to Buy Wedding Invitations Module 6:How to Choose a Wedding Photographer Module 7: Special Considerations Module 8: The Ceremony Text Module 9: Wedding Reception Assessment Method of Wedding Planner After completing the MCQ/Assignment assessment for this Wedding Planner: Wedding Planner Training 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. Certification of Wedding Planner After completing the MCQ/Assignment assessment for this Wedding Planner: Wedding Planner Training course, you will be entitled to a Certificate of Completion from Training Tale which is completely free to download. Who is this course for? Wedding Planner: Wedding Planner Training Our most advanced Professional Wedding Planner: Wedding Planner Training is suitable for anybody wishing to acquire their first professional employment in this exciting field or to develop in their current position. Requirements Wedding Planner: Wedding Planner Training Students who intend to enrol in this Wedding Planner: Wedding Planner course must meet the following requirements: Wedding Planner: Good command of the English language Wedding Planner: Must be vivacious and self-driven Wedding Planner: Basic computer knowledge Wedding Planner: A minimum of 16 years of age is required Career path Wedding Planner: Wedding Planner Training Students who successfully complete the Wedding Planner, Event Management & Photography Bundle course may pursue a range of jobs. Certificates Digital Certificate Digital certificate - Included

Persuasive communication is that art of convincing listeners towards adopting specific attitudes and attitudes through appealing to their emotions and rationalising. The Art of Persuasive Communication course is designed to guide you through the steps of persuasion, teaching you how to influence people through the art of communication. You will learn some powerful ways to appeal to listeners' minds and use emotions effectively. Not only will this training help you to build your credibility as a speaker, but it will take you through how to design your overall message and explain the solution clearly. Learn how to make your 'ask' the easy way and enrol in this best-selling course today! This best selling Art of Persuasive Communication has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Art of Persuasive Communication is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Art of Persuasive Communication is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Art of Persuasive Communication is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Art of Persuasive Communication, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Art of Persuasive Communication will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Art of Persuasive Communication to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Sports Nutrition Training Course Online Our Sports Nutrition Training Course will teach you about nutrition and its role and importance in leading a healthy lifestyle. It will also expand your knowledge so that you are well prepared to design diet plans based on your clients' needs. The sole purpose of our Sports Nutrition Training Course is to teach an individual about the fundamental and advanced mechanisms of nutrition as a whole that will help an athlete perform at his or her best. Learning Outcomes By the end of this course, you will be able to: Describe the basics of sports nutrition and its classification, including macro and micronutrients especially designed for athletes. Get insight into the digestive system. Explain nutritional requirements according to various age groups and professions. Demonstrate planning healthy eating habits for athletic clients. Understand the framework for energy requirements. Carry out weight control and weight loss management. Explain how to design nutrients plans for specific sports competitions and to replace them afterwards. With this Sports Nutrition Training Course, you will find it much easier to achieve success and monetise your skills. This course is destined for both part-time and full-time students and can be completed at your own pace. Enrol in the Sports Nutrition Training Course to increase your knowledge of sports and nutrition and help athletes, sportspeople, and fitness enthusiasts to achieve their goals. Whether you plan to take this course for personal or professional reasons, it will benefit you at every stage of your life cycle; after all, health is wealth. In short, knowing what foods are good for your body is extremely important for leading a healthy lifestyle. Main Course: Sports Nutrition Training Course Courses you will GET :- Course 01: Sports First Aid Course 02: Level 6 Diploma in Health and Social Care Management Course 03: Level 1 Diet and Nutrition Course [ Note: Free PDF certificate as soon as completing the Sports Nutrition Training Course] Sports Nutrition Training Course Course Curriculum of Sports Nutrition Training Course Module 01: A Quick Overview of Sports Nutrition Module 02: Diet and Nutrition: Dietary Guidelines Module 03: Nutrition and Athlete Health Module 04: Diet Planning Module 05: Healthy Dieting Module 06: The Digestive System Module 07: Water Module 08: Weight Control and Weight Loss Management Module 09: The Role of the Vegetarian/Vegan in Sports Nutrition Module 10: Myth and Misinformation Module 11: Performance Boosters Assessment Method of Sports Nutrition Training Course After completing each module of Sports Nutrition Training 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 of Sports Nutrition Training Course After completing the MCQ/Assignment assessment for Sports Nutrition Training Course, you will be entitled to a Certificate of Completion from Training Tale. Who is this course for? Sports Nutrition Training Course This Sports Nutrition Training Courseis ideal for highly motivated individuals who want to improve their professional skills and train for the job of their dreams! In addition, this course is also suitable for those who want to gain in-depth knowledge on the subject and stay up to date with the latest information. Requirements Sports Nutrition Training Course Students who intend to enrol in this Sports Nutrition: Sports Nutrition course must meet the following requirements: Sports Nutrition: Good command of the English language Sports Nutrition: Must be vivacious and self-driven Sports Nutrition: Basic computer knowledge Sports Nutrition: A minimum of 16 years of age is required Career path Sports Nutrition Training Course A career in Sports Nutrition Training Course can be challenging, rewarding, and frustrating at times, but it is never boring. Although there are significant challenges in many sectors, Certificates Certificate of completion Digital certificate - Included