20490 Addition courses

Description Physics Foundation Diploma  We live in the century of science and technology, and the introduction of science has transformed our lives. Even when we had no idea about science, our lives were governed by the principles of science and its various branches. Physics governs our everyday lives and is involved in everything we do. Physics is often considered an immersive yet challenging subject. It is among the most fundamental scientific disciplines. This branch of science deals with the nature of matter and energy and its various applications. In our Physics Foundation Diploma course, you will explore the fundamental aspects of physics in a very interactive format. This program will help you understand the nature and scope of the subject. In addition to having a basic understanding of the subject, you will be introduced to topics such as Motion, Vectors, Speed and Acceleration, Circular motion, Force, Friction and Gravity, Work, Impulse and Momentum, Simple Harmonic Motion, and the concept of relativity. This Physics Foundation Diploma course is very beneficial for students studying in high schools, colleges and universities, having physics as a subject. This program will ensure that you know the basics before you go deep into the subject. Physics shares a fundamental understanding of how the world around us works, everything from the natural to the technological devices we depend on daily. It helps us contemplate profoundly and think critically to satisfy our curious minds. We, as humans, have the natural tendency to look through things. We never see things for what it is. We saw volcanos, rains, waves, or cyclones, we did not take them for what we just saw, but we looked into them. This curiosity is what makes us who we are. Being one of the fundamental branches of science, physics opens a door in front of us, a door to see the world for what it is. This physics foundation diploma course will open your eyes and, in turn, opportunities for you, irrespective of your field and academic background. What you will learn    1: Understanding Physics   2: Vectors   3: Speed and Acceleration   4: Circular Motion   5: Force   6: Friction and Gravity   7: Work   8: Impulse and Momentum   9: Simple Harmonic Motion   10: Wonders of Relativity  Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Description Diabetes Diploma In this course, you will analyze in detail some of the parameters inside the NSF for diabetes, the setting of evaluation, treatment and administration of the ailment in children, teenagers and adults, in addition to the implementation of these standards inside the group and healing facility settings, and the proof base for best practice in diabetic care. Completing this Diabetes Diploma course will enable the student to propose, legitimize and critically assess instructive methodologies for diabetics with the aim of advancing their self-care and empowerment; demonstrate in-depth proof-based findings of the evaluation, treatment and administration during admission to hospitals and pregnancy; show detailed evidence-based information linked to assessment, treatment and administration of long periods of diabetes mellitus complications; demonstrate knowledge equal to that of a multi-professional diabetes benefit and a comprehension of other experts' roles, understanding the requirements of diabetics; and be informed of current policy, both local and national, important to diabetes, recognizing, surveying and settling issues raised by changes in policy. Acknowledging the imperatives of healthcare experts, the Diabetes Diploma course expects to make a direct connection between theory and practice. The course is intended to meet the educational needs of healthcare experts with involved in diabetic care and appraisals for the course to build on existing knowledge and help in building new skills. Emphasis is placed on the requirements and concerns of diabetics, the individuals who watch over them and specifically, the significance of empowering them to deal with his/her own particular needs. Participants in the course get to share their skills and experience and are esteemed, shared and used inside the program. Participants form the core of the learning procedure and are encouraged to assume responsibility for their own learning in a strong and facilitative condition. The Diabetes Diploma course meets the educational requirement of all healthcare experts like medical caretakers, specialists, diabetes nurture masters, drug specialists, dieticians, optometrists and chiropodists looking to get involved in diabetes treatment. What you will learn 1: Physiology 2: Introduction and overview of glycemic disorders 3: Practical medical nutrition therapy 4: Exercise 5: Counselling 6: Insulin therapy - practical aspects 7: Blood glucose monitoring 8: Pregnancy and diabetes 9: Diabetes in childhood and adolescence Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Recent studies show a surge in demand for professionals proficient in Agile Scrum and Project Management methodologies. In today's rapidly evolving business landscape, organisations seek individuals equipped with the knowledge and skills to navigate complex projects efficiently. Our comprehensive bundle, "Agile Scrum, Project Management with Leadership & Management QLS Endorsed Diploma," addresses this growing need head-on. Recent updates indicate a 30% increase in job postings requiring expertise in Agile Scrum and Project Management, making this bundle an invaluable asset for career advancement. With a blend of QLS Endorsed and CPD QS Accredited courses, this Agile Scrum, Project Management bundle offers a holistic approach to professional development. Through 16 meticulously crafted courses, including "Scrum Master Training Course" and "Diploma in Lean Process and Six Sigma," learners delve deep into Agile Scrum principles and Project Management strategies. This Agile Scrum, Project Management bundle also encompasses personal development courses, empowering individuals to hone their leadership, communication, and decision-making skills for enhanced career prospects. QLS Endorsed Courses: Course 01: Certificate in Leadership & Management at QLS Level 3 Course 02: Diploma in Project Management at QLS Level 5 Course 03: Diploma in Agile Scrum at QLS Level 5 CPD QS Accredited Courses: Course 04: Scrum Master Training Course Course 05: Project Planning for Everyone Course 06: Project Management: How to Build a Project Charter Course 07: Cost Control & Project Scheduling Course 08: Diploma in Lean Process and Six Sigma Course 09: Fundamentals of Quality Management Course 10: Operations Management Course 11: Process Improvement: How to Reduce Waste Take your career to the next level with our bundle that includes technical courses and five guided courses focused on personal development and career growth. Course 12: Career Development Plan Fundamentals Course 13: CV Writing and Job Searching Course 14: Networking Skills for Personal Success Course 15: Ace Your Presentations: Public Speaking Masterclass Course 16: Decision Making and Critical Thinking Seize this opportunity to elevate your career with our comprehensive bundle, endorsed by the prestigious QLS and accredited by CPD.Agile Scrum, Project Management with Leadership & Management Agile Scrum, Project Management with Leadership & Management QLS Endorsed Diploma. Learning Outcomes: By completing this Agile Scrum, Project Management bundle, learners will: Master Agile Scrum principles and methodologies. Gain proficiency in Project Management techniques and tools. Develop leadership skills essential for effective team management. Acquire knowledge of Lean Process, Six Sigma, and quality management fundamentals. Enhance decision-making and critical thinking abilities through Agile Scrum, Project Management course. Prepare a comprehensive career development plan and refine CV writing and networking skills. This Agile Scrum, Project Management bundle offers a deep dive into Agile Scrum and Project Management methodologies, providing learners with the tools and techniques needed to thrive in dynamic project environments. Through QLS Endorsed courses, participants gain a solid foundation in leadership and management principles essential for guiding teams towards success. They explore the intricacies of project planning, execution, and monitoring, learning how to navigate common challenges effectively. Additionally, CPD QS Accredited courses delve into advanced topics such as Lean Process, Six Sigma, and quality management, equipping learners with the skills to drive continuous improvement within their organizations. Throughout the journey, emphasis is placed on practical application, enabling participants to translate theoretical knowledge into real-world solutions. Furthermore, personal development courses enhance learners' soft skills, fostering effective communication, networking, and decision-making abilities. By mastering the art of public speaking and CV writing, participants can confidently showcase their expertise to potential employers, unlocking new opportunities for career growth and advancement. Overall, this Agile Scrum, Project Management bundle provides a comprehensive learning experience that empowers individuals to excel in today's competitive business landscape. CPD 160 CPD hours / points Accredited by CPD Quality Standards Who is this course for? In addition to professionals aiming to advance their careers in project management and leadership roles, this Agile Scrum, Project Management course is also beneficial for: Graduates seeking to kickstart their careers with in-demand skills of Agile Scrum & Project Management . Entrepreneurs looking to streamline their project management processes. Team members transitioning into managerial positions. Individuals from diverse industries eager to stay abreast of the latest project management trends. Anyone interested in acquiring a holistic understanding of Agile Scrum principles and methodologies. Professionals seeking to differentiate themselves in the job market with CPD QS Accredited certifications. Requirements You are warmly invited to register for this bundle. Please be aware that there are no formal entry requirements or qualifications necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Upon completion, learners can pursue various career paths, including: Project Manager Scrum Master Quality Assurance Manager Operations Manager Business Analyst Lean Six Sigma Consultant Leadership and Management roles in diverse industries Certificates 13 CPD Quality Standard Certificates Digital certificate - Included 3 QLS Endorsed Certificates Hard copy certificate - Included

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 developers working with HTML5 will be able to test their knowledge with this video course.

This course gives you an introduction to Node.js in a practical way. You'll quickly learn the basics of Node.js and understand how to write Node code for faster development.

Level 3 & 4 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Are you passionate about nurturing young minds and promoting healthy development? Step into the world of childcare and nutrition with our CPD Certified "Childcare and Nutrition" bundle. In the UK, the demand for qualified childcare professionals is on the rise, making this field both fulfilling and promising. This bundle includes essential courses like Childcare and Nutrition, Introduction to Caring for Children and Young People, and advanced nutrition training for meal planning. Dive deep into neuropsychology, attachment development, and child psychology to gain insights into child development. Learn to prepare healthy and delicious meals for children, and understand the importance of sleep during their early years. With the focus on child protection, safeguarding, and pediatric first aid, you'll be well-prepared to prioritise children's safety and well-being. This bundle not only equips you with knowledge but also opens doors to a fulfilling career in a high-demand field. Become a childcare and nutrition expert, earning competitive income while making a lasting impact on children and their families. Secure your place in this dynamic profession, where your expertise is valued and needed. Join our "Childcare and Nutrition" bundle today and embark on a journey to shape the future of our youngest generation. Learning Outcomes: Proficient in childcare and nutrition fundamentals. Advanced knowledge of child development and psychology. Competence in preparing healthy meals for children. Expertise in child protection and safeguarding. Skilled in pediatric first aid and safety. Ability to create nutritionally balanced meal plans. Understanding of sleep's importance in early childhood. Elevate your expertise in childcare and nutrition with our CPD-certified "Childcare and Nutrition" bundle. This comprehensive package equips you with the knowledge and qualifications needed for a thriving career in nurturing young minds and promoting healthy development. This bundle covers a wide spectrum of topics, from fundamental childcare and nutrition principles to advanced knowledge of child development and psychology. You'll master the art of preparing nutritious and appealing meals for children, ensuring their optimal growth and well-being. In addition, you'll become proficient in child protection and safeguarding, with pediatric first aid skills to prioritise children's safety. One of the standout features of this bundle is its focus on advanced nutrition and meal planning, ensuring you have the expertise to provide children with the best possible nourishment. Understanding the importance of sleep in early childhood is a crucial component, further enhancing your ability to support children's holistic well-being. In the UK, the demand for qualified childcare professionals is robust, and this bundle positions you for a fulfilling career. As a childcare and nutrition expert, you can expect competitive income opportunities while making a profound impact on the lives of children and their families. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring Childcare Professionals Nutrition Enthusiasts Childcare Workers Seeking Advancement Individuals Passionate About Child Development Career path Childcare Practitioner: £16,000 - £24,000 per year Nursery Manager: £24,000 - £40,000 per year Nutritionist/Dietitian: £25,000 - £50,000 per year Early Childhood Educator: £18,000 - £30,000 per year Child Psychologist: £25,000 - £50,000 per year Child Protection Officer: £20,000 - £35,000 per year Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

5 QLS Endorsed Course With Certificates | 5-in-1 Bundle | CPD Accredited | Career Guided Program | Lifetime Access

Level 5 & 6 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access