10735 Concept courses

4 Part Guided Mediation Series on Practising Present Moment Awareness from The Heart of Presence with Mike Jenkins.

This course provides an introduction to the concept of handling information in care settings. At the end of the course you will understand the need for secure handling of information and you will know how to access support if you have any questions regarding access to information. The course will cover the important role confidentiality plays in developing trusting relationships with the people in your care and it will define key terms such as ‘need to know’ and ‘consent’.

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A beginner's guide to mastering real-time stream processing using Apache Kafka and Kafka Streams API

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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.

>> 48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! << Do you have a brilliant idea for a product but feel lost in the jungle of development? Did you know that in the UK, 20% of new products failwithin the first year? This comprehensive Product Development course equips you with the knowledge and skills to navigate the complex journey from conception to market success. This Diploma in Product Development at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! This Product Development training course empowers you to transform your product idea into a market reality. Master product classification, planning, pricing, branding, marketing, and financial analysis, navigating the journey from concept to launch with confidence. Unleash your entrepreneurial potential and build a successful career in the UK's thriving product development landscape. Learning Outcomes of Product Development Course Classify products based on market focus and consumer needs. Craft impactful product plans that drive successful development. Implement effective pricing strategies for profit maximization. Analyse existing product portfolios and identify growth opportunities. Develop data-driven marketing campaigns for targeted customer engagement. Utilise financial analysis tools to evaluate product viability and ROI. Elevate your career, launch groundbreaking products, and become a master of innovation. Enrol today in our Product Development course and take your product development skills to the next level! Why Choose Our Product Development Course? FREEProduct Development QLS endorsed certificate Get a free student ID card with Product Development Training Get instant access to this Product Development course. Learn Product Development from anywhere in the world The Product Development is affordable and simple to understand The Product Development is an entirely online, interactive lesson with voiceover audio Lifetime access to the Product Development course materials The Product Development comes with 24/7 tutor support Take a step toward a brighter future with our Product Development ourse! *** Course Curriculum *** Here is the curriculum breakdown of the Product Development at QLS Level 4 course: Module 01: Introduction to Product Management Module 02: Product Classification Module 03: Developing the Product Plan Module 04: New Product Development Module 05: Levels of a Product and Product Life Cycle Module 06: Product Pricing Strategy Module 07: Product and Brand Portfolio Analysis Module 08: Channels Management Module 09: Basics of Marketing for Products Module 10: Financial Analysis for Product Management Assessment Process of Product Development You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Product Development at QLS Level 4 exams. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Product Development at QLS Level 4 This Product Development at QLS Level 4 course is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want! Requirements Product Development at QLS Level 4 No prior background or expertise is required in this Product Development course. Career path Product Development at QLS Level 4 The Product Development at QLS Level 4 course will boost your CV and aims to help you get the job or even the long-awaited promotion of your dreams. Product Manager Brand Manager Marketing Manager Sales Manager Entrepreneur Consultant Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Product Development at QLS Level 4 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Product Development at QLS Level 4, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme and also you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.

Unlock the secrets of peak athletic performance with our Sports Psychology course. Dive into the minds of athletes, exploring goal-setting, motivation, stress management, visualization, teamwork, resilience, and more. Perfect for coaches, athletes, and enthusiasts seeking to enhance mental performance in sports.

Description Alexander Technique Diploma Immerse yourself in a transformative learning experience with our Alexander Technique Diploma. This online course offers a thorough grounding in the principles and practices of the Alexander Technique, enabling you to adopt this mind-body practice into your everyday life. At the core of this enriching programme, the fundamental principles of the Alexander Technique are explored. Gain a deep understanding of the Technique's intrinsic philosophy, which centres around efficiency, ease of movement, and an increased sense of well-being. This integral foundation sets the stage for the remainder of the course. Next, delve into the fascinating realm of the mind-body connection. The course sheds light on the interplay between physical movement, thought processes, and emotional states. As you progress, you'll learn how the Alexander Technique can be harnessed to fine-tune this connection, promoting greater harmony and balance in your life. You'll also uncover the process of inhibition, an essential facet of the Alexander Technique. Here, learn how to pause, observe, and change habitual patterns that may be causing physical or emotional discomfort. This learning helps enhance your awareness and fosters a more thoughtful, mindful approach to daily activities. Artfully explore the concept of 'direction' - a key principle of the Alexander Technique. This segment of the Alexander Technique Diploma teaches you how to guide your body's movements consciously, facilitating smoother, more effortless actions, devoid of unnecessary strain. The course then transitions to the practical application of the Alexander Technique to everyday activities such as sitting and standing. Master the art of integrating the Technique into these actions, promoting more effortless movement and reducing physical stress. Expand your understanding further by discovering how the Alexander Technique can enhance your walking and running. Learn how to apply these principles to your locomotion, improving balance, efficiency, and ease. A vital part of the Alexander Technique Diploma focuses on pain relief. Discover how this innovative Technique can provide effective strategies for managing and reducing chronic pain. Harness the power of mindful movement to enhance your quality of life, offering a newfound sense of relief and comfort. The potential of the Alexander Technique extends beyond personal use. Within the realm of performance enhancement, this technique proves to be a game changer. Learn how to apply these principles to artistic pursuits such as music, drama, or dance. Additionally, it benefits sporting endeavours by boosting physical performance while minimising the risk of injury. In the final module of the Alexander Technique Diploma, the course explores the Technique's application in the workplace. Gain invaluable insights into how this method can reduce workplace stress, foster better posture, and enhance overall productivity. Finally, the course offers insights into learning and teaching the Alexander Technique, providing the tools for those interested in sharing this knowledge with others. This Alexander Technique Diploma is an enriching journey into a method that encourages holistic wellness. It's more than just an online course; it's a gateway to a healthier, more harmonious life. So, embark on this journey today and discover the transformative power of the Alexander Technique. What you will learn 1:The Fundamentals of the Alexander Technique 2:The Mind-Body Connection 3:The Process of Inhibition 4:The Art of Direction 5:Applying the Alexander Technique to Sitting and Standing 6:Integrating the Alexander Technique into Walking and Running 7:The Alexander Technique for Pain Relief 8:Performance Enhancement with the Alexander Technique 9:The Alexander Technique in the Workplace 10:Learning and Teaching the Alexander Technique 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 Circular Economy Diploma An online learning experience tailor-made for those passionate about sustainable futures and eco-friendly business models. This course offers a comprehensive overview of the circular economy concept, emphasising its significance in the modern world. The Circular Economy Diploma is not just any online course; it's an engaging journey that educates its participants about the importance of a sustainable approach to economics. This course goes beyond textbook theory and equips learners with the practical knowledge required in the field. The first part of the course focuses on understanding the circular economy. It paints a clear picture of how this economic model deviates from the traditional linear 'take, make, dispose' pattern. Instead, it emphasises an interconnected approach where resources are continually reused, reducing waste and conserving energy. One cannot talk about the circular economy without addressing its environmental impact. The course takes a detailed look at how circular practices can reduce the carbon footprint, preserve natural resources, and help combat the critical challenges of climate change. But it's not just about the environment. There's a vast potential for businesses too. The course delves into the economic aspects and opportunities that arise from a circular approach. Learners will discover how sustainability can lead to profitability in the long run, creating jobs and boosting economies. Circular design and manufacturing form the backbone of the circular economy. The course will explore innovative strategies to design products and systems that are sustainable from inception. It showcases how industries can adopt manufacturing processes that are both eco-friendly and economically viable. Waste management and recycling play a pivotal role in this economic model. The course elaborates on efficient waste management strategies and the importance of recycling in ensuring that resources are continually reused. The energy sector, too, has a crucial role to play. The Circular Economy Diploma highlights the significance of sustainable energy and how circular practices can revolutionise the way energy is produced, consumed, and stored. The course doesn't stop there. It takes a thorough look at transportation and mobility, exploring eco-friendly modes of transport, sustainable infrastructure, and the reduction of emissions. Agriculture and food systems, vital for our survival, can benefit immensely from the circular approach. Learners will understand the significance of sustainable farming practices, eco-friendly food production, and waste reduction in the agriculture sector. For a holistic understanding, it's essential to know about policy and regulation. The course illuminates the role of governments, regulations, and policy-making in promoting and implementing circular economy principles. Lastly, while the circular economy offers numerous benefits, it's not without its challenges. The course concludes by discussing the future prospects of the circular economy and the potential hurdles it might face. In essence, the Circular Economy Diploma is not just a course but an invitation to a sustainable future. It offers learners the tools, knowledge, and insights to be pioneers in the world of the circular economy. Whether you're a business professional, a student, or simply an eco-enthusiast, this online course promises to be a transformative learning experience. Don't miss the chance to be part of the movement towards a greener, more sustainable future. Join the Circular Economy Diploma today. What you will learn 1:Understanding the Circular Economy 2:The Environmental Impact 3:Economic Aspects and Opportunities 4:Circular Design and Manufacturing 5:Waste Management and Recycling 6:Circular Economy in the Energy Sector 7:Transportation and Mobility 8:Agriculture and Food Systems 9:Policy and Regulation 10:Future Prospects and Challenges 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.