1216 Accessibility courses in Nottingham delivered Online

Duration 0.5 Days 3 CPD hours This course is intended for This course is designed for students who have experience using the Windows 10 operating system and need to start using the Windows 11 operating system. Overview In this course, you will use the new and updated features of Windows 11. You will: Navigate the Windows environment. Use apps available in Windows 11. Manage available apps. Configure Windows 11 settings. As an experienced Windows© 10 user, when you are ready to move to Windows 11, you might like some guidance in using the new and updated features. This course will help you identify and use those features efficiently and effectively. Navigating the Windows 11 Environment Topic A: Log in to Windows 11 Topic B: Use the Start Menu Topic C: Use the Taskbar Using Apps Topic A: Use Built-In Apps Topic B: Use the Updated File Explorer Managing Apps Topic A: Use Virtual Desktops Topic B: Obtain Apps from the Microsoft Store Configuring Windows 11 Settings Topic A: Use the Configuration Apps Topic B: Configure Accessibility Features

3ds Max and Vray Training 1-2-1

Introducing the Ultimate ChildCare Bundle: Unlocking Your Potential as a Child Caregiver! Are you passionate about working with children and making a positive impact on their lives? Do you dream of becoming a skilled and confident child care professional? Look no further! Our comprehensive ChildCare Bundle is designed to equip you with all the essential knowledge and skills needed to excel in the rewarding field of childcare. This ChildCare Bundle course is ideal for anybody interested in studying childcare or working in the child care sector. Our Childcare bundle course offers you a comprehensive grasp of child care, encompassing courses in early years, child psychology, child behavior, childcare, and nutrition. Don't miss out on this opportunity to unlock your full potential as a childcare professional. Enrol in our Child Care Bundle today and take the first step towards a fulfilling career dedicated to nurturing and shaping the future generation. Invest in your future and watch your childcare skills soar to new heights! Other Benefits of the ChildCare Bundle Course 25 PDF Certificate FREE Lifetime Access Free Retake Exam Expert Tutor Support 24/7 Live Support [ Note: Free PDF certificate as soon as completing the Child Care course ] One of the primary benefits of taking this Child Care Bundle course is that it will help you to apply to any childcare institution. You may need to show that you have achieved certain minimal requirements, which you can achieve from this bundle course. Another benefit of our Child Care Bundle course is it will boost your skills in child development. With this bundle course, you will be able to learn about how children's mind creates and how they behave, as well as ways to assist children with special needs. The Child care bundle course also teaches child protection and risk assessment. You will also gain a deeper understanding of Child Psychology to better assist and counsel children. The Child care bundle course also emphasizes Adolescent Mental Health. You will gain all the knowledge of helping children who are suffering from various mental health disorders. There are several instructional films, instructions, assistance, and other resources included in this Childcare course. Throughout the course, you will have access to online assistance. The course is easily accessible online, allowing you to study from the convenience of your own home and at your own pace. You can access the Child Care bundle course modules from any device and place with an internet connection. This childcare bundle covers the following courses: Autism Diploma ADHD Awareness Course Nursery Nurse Dyslexia Early Years Level 4 Speech & Language Therapy Level 2 Diploma for the Early Years Practitioner Level 4 Diploma in Child Psychology Level 4 Diploma in Child Counselling Childcare and Nutrition Level 2 Safeguarding Children Training Course Child Protection and Risk Assessment Care and Support for Vulnerable Children Level 2 Certificate in Understanding Common Childhood Illnesses Affecting Children Child Sexual Exploitation & Child Criminal Exploitation (CSE & CCE) Awareness Training Level 2 Award in Babysitting Level 2 Award in Preparation for the Responsibilities of Parenting Level 1 Award in Working With Children Level 3 Award for Special Educational Needs Coordinators in Early Years Settings Entry Level 3 Award In Skills for Childcare Level 5 Childcare Training Level 1 First Award in Children's Play Learning and Development Advanced Diploma in Child care Entry Level 2 Extended Award in Skills for Working in Child Care Industries Level 2 Behaviour Management in the Early Years Assessment Method After completing each module of the Child Care Bundle, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for this Child Care Bundle course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This childcare bundle course is suitable for anybody wishing to turn a love for caring for others into a fulfilling job for life. This bundle was created with total flexibility and accessibility in mind. It is also appropriate for both newbies to the topic and established workforce members. This child care bundle course has all of the teachings and industry insights you will need to get your first professional employment or climb the career ladder from the ground up. Requirements There are no specific requirements for this Child Care Bundle course because it does not require any advanced knowledge or skills. Students who intend to enrol in this Child Care Bundle course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path After completing this Child Care Bundle course, you will have several career opportunities. You can look at jobs such as: Early years teacher. Family support worker. Babysitter Health specialist. Nursery nurse. Primary school teacher. Special educational needs teacher. Social care worker.

Overview: UI Design for Voice Assistants: Creating Conversational Interfaces   Welcome to the future of user interfaces! In today's digital landscape, voice assistants are becoming increasingly prevalent, revolutionizing the way users interact with technology. Our comprehensive course, 'UI Design for Voice Assistants: Creating Conversational Interfaces,' equips you with the knowledge and skills needed to craft engaging and intuitive conversational experiences.   Module 1: Introduction to Voice Assistants and Conversational UI Get acquainted with the fundamentals of voice assistants and conversational user interfaces. Explore the evolution of voice technology and its impact on user interactions. Learn about the key principles and challenges of designing for conversational UI.   Module 2: User-Centered Design for Voice Assistants Put the user at the center of your design process. Discover techniques for understanding user needs, behaviors, and preferences in the context of voice interactions. Learn how to conduct user research and usability testing to create user-centric voice experiences.   Module 3: Designing Effective Voice Interactions Master the art of crafting natural and meaningful voice interactions. Explore best practices for structuring conversations, managing dialogue flow, and providing clear prompts and feedback. Dive into the psychology of conversation and learn how to create engaging user experiences.   Module 4: Speech Recognition and Natural Language Understanding (NLU) Gain insights into the underlying technologies powering voice assistants. Understand the principles of speech recognition and natural language understanding (NLU). Learn how to leverage NLU to interpret user inputs accurately and respond intelligently.   Module 5: Designing Voice User Interfaces (VUI) Learn the principles of designing intuitive voice user interfaces (VUI). Explore techniques for organizing information, designing navigation systems, and creating voice commands. Understand how to optimize VUI for accessibility and inclusivity.   Module 6: Visual Design for Voice Assistants Explore the role of visual design in enhancing the user experience of voice assistants. Learn how to leverage visual elements such as typography, color, and layout to complement voice interactions. Discover strategies for designing multimodal interfaces that seamlessly integrate voice and visual components.   Whether you're a seasoned UI/UX designer looking to expand your skill set or a newcomer eager to dive into the world of voice interfaces, our course provides a comprehensive foundation for designing compelling conversational experiences. Join us and embark on a journey to shape the future of human-computer interaction with UI Design for Voice Assistants: Creating Conversational Interfaces. Course Curriculum Module 1_ Introduction to Voice Assistants and Conversational UI Introduction to Voice Assistants and Conversational UI 00:00 Module 2_ User-Centered Design for Voice Assistants User-Centered Design for Voice Assistants 00:00 Module 3_ Designing Effective Voice Interactions Designing Effective Voice Interactions 00:00 Module 4_ Speech Recognition and Natural Language Understanding (NLU) Speech Recognition and Natural Language Understanding (NLU) 00:00 Module 5_ Designing Voice User Interfaces (VUI) Designing Voice User Interfaces (VUI) 00:00 Module 6_ Visual Design for Voice Assistants Visual Design for Voice Assistants 00:00

Overview: Traffic Engineering and Management   Welcome to the cutting-edge solution for mastering the intricacies of Traffic Engineering and Management. Our comprehensive product offers a structured approach to understanding and optimizing traffic flow, ensuring safer and more efficient transportation systems. Let's delve into the modules:   Module 1: Introduction to Traffic Engineering and Management Embark on your journey with a solid foundation. Explore the fundamental principles, theories, and practices of traffic engineering and management. Gain insights into the historical evolution and current challenges in transportation systems.   Module 2: Traffic Control Devices and Signals Unlock the secrets behind effective traffic control. Dive into the world of traffic signals, signs, markings, and other devices crucial for regulating traffic flow and ensuring road safety. Learn how to design and implement these systems efficiently.   Module 3: Traffic Operations and Capacity Analysis Master the art of optimizing traffic operations. Delve into advanced techniques for analyzing traffic flow, capacity, and performance. Discover strategies for alleviating congestion, improving throughput, and enhancing overall system efficiency.   Module 4: Intersection Design and Control Navigate through the complexities of intersection design and control. Explore various intersection types, geometries, and signalization methods. Acquire skills to design safe, efficient, and sustainable intersections tailored to specific traffic demands.   Module 5: Pedestrian and Bicycle Facilities Embrace the inclusive approach to transportation planning. Learn how to integrate pedestrian and bicycle facilities seamlessly into transportation networks. Explore design principles, safety considerations, and best practices for accommodating non-motorized modes of transportation.   Module 6: Parking Management Unleash the potential of efficient parking management. Understand the significance of parking policies, regulations, and design standards. Learn how to optimize parking supply, enhance accessibility, and mitigate the negative impacts of parking on traffic flow and urban environments.   Why Choose Us? Comprehensive Coverage: Our product covers all essential aspects of traffic engineering and management, providing a holistic understanding of the subject. Practical Insights: Gain real-world insights and practical skills from industry experts to tackle complex transportation challenges effectively. Interactive Learning: Engage in interactive learning experiences, including case studies, simulations, and hands-on exercises, to reinforce your understanding and skills. Flexible Learning: Access the course materials anytime, anywhere, and at your own pace, ensuring maximum flexibility to accommodate your schedule and learning preferences.   Elevate your expertise in traffic engineering and management with our unparalleled product. Join us today and pave the way for safer, smoother, and smarter transportation systems. Course Curriculum Module 1_ Introduction to Traffic Engineering and Management Introduction to Traffic Engineering and Management 00:00 Module 2_ Traffic Control Devices and Signals Traffic Control Devices and Signals 00:00 Module 3_ Traffic Operations and Capacity Analysis Traffic Operations and Capacity Analysis 00:00 Module 4_ Intersection Design and Control Intersection Design and Control 00:00 Module 5_ Pedestrian and Bicycle Facilities Pedestrian and Bicycle Facilities 00:00 Module 6_ Parking Management Parking Management 00:00

Sustainable Transportation Sales Overview   Welcome to the future of transportation! Our comprehensive product, 'Sustainable Transportation,' is designed to revolutionize the way we move people and goods while preserving our planet for generations to come. With a focus on six key modules, we offer a holistic approach to addressing the challenges of transportation sustainability.   Module 1: Introduction to Sustainable Transportation In this foundational module, users will gain a comprehensive understanding of sustainable transportation principles, including the importance of reducing carbon emissions, promoting energy efficiency, and enhancing accessibility. Through engaging content and interactive learning materials, participants will grasp the significance of transitioning to sustainable transportation solutions.   Module 2: Sustainable Transportation Policies and Regulations Navigate the complex landscape of transportation policies and regulations with ease. Our expertly curated module provides insights into global and local policies aimed at promoting sustainable transportation practices. From emissions standards to incentives for green mobility, participants will learn how regulatory frameworks shape the future of transportation.   Module 3: Sustainable Transportation Infrastructure Discover the backbone of sustainable transportation systems: infrastructure. From bike lanes to electric vehicle charging stations, this module explores innovative infrastructure solutions designed to support eco-friendly modes of transportation. Participants will explore case studies and best practices for building resilient, accessible, and environmentally conscious transportation networks.   Module 4: Sustainable Transportation Technologies Embrace the cutting-edge technologies driving the shift towards sustainable transportation. From electric vehicles to smart traffic management systems, this module showcases the latest advancements in clean and efficient transportation technologies. Participants will learn how emerging technologies are reshaping the way we commute, deliver goods, and reduce our carbon footprint.   Module 5: Sustainable Transportation Behavior Change Unlock the power of behavioral psychology in promoting sustainable transportation choices. This module delves into strategies for encouraging mode shifts, such as public awareness campaigns, incentives, and community engagement initiatives. Participants will explore behavior change theories and practical interventions to promote eco-friendly transportation habits.   Module 6: Sustainable Freight and Logistics Transform the way goods are transported with our module on sustainable freight and logistics. From optimizing supply chains to adopting green shipping practices, participants will learn how to minimize the environmental impact of freight transportation. Case studies and industry insights will highlight innovative approaches to sustainable logistics management.   Whether you're an urban planner, policymaker, transportation professional, or sustainability enthusiast, our 'Sustainable Transportation' product offers the knowledge and tools needed to create a greener, more efficient, and equitable transportation system. Join us in shaping the future of mobility and building a sustainable world for all. Course Curriculum Module 1_ Introduction to Sustainable Transportation Introduction to Sustainable Transportation 00:00 Module 2_ Sustainable Transportation Policies and Regulations Sustainable Transportation Policies and Regulations 00:00 Module 3_ Sustainable Transportation Infrastructure Sustainable Transportation Infrastructure 00:00 Module 4_ Sustainable Transportation Technologies Sustainable Transportation Technologies 00:00 Module 5_ Sustainable Transportation Behavior Change Sustainable Transportation Behavior Change 00:00 Module 6_ Sustainable Freight and Logistics Sustainable Freight and Logistics 00:00

Introducing 'Graphic Design Portfolio Building: Showcasing Your Best Work'   Are you ready to take your graphic design skills to the next level? Our comprehensive course is designed to equip you with the tools and knowledge you need to build a stunning portfolio that will impress clients and employers alike. From mastering design fundamentals to creating a professional portfolio, we've got you covered every step of the way.   Module 1: Introduction to Graphic Design Get started on your graphic design journey with a solid foundation. Learn about the history of graphic design, key principles, and the role of design in various industries. Discover different design styles and trends to inspire your own creative journey.   Module 2: Design Fundamentals Build a strong understanding of design principles and techniques that will elevate your work. Explore topics such as layout, typography, color theory, and composition. Learn how to apply these fundamentals to create visually appealing and effective designs.   Module 3: Graphic Design Software Mastery Unlock the full potential of industry-standard design software. Whether you're a beginner or looking to refine your skills, our expert-led tutorials will help you master tools like Adobe Photoshop, Illustrator, and InDesign. Gain hands-on experience through practical exercises and projects.   Module 4: Creating a Professional Design Portfolio Craft a standout portfolio that showcases your best work and reflects your unique style and personality. Learn how to curate your projects, present them effectively, and tailor your portfolio to different audiences and opportunities. Get insider tips on building an online portfolio and leveraging social media to attract clients.   Module 5: Visual Branding and Identity Design Dive into the world of branding and identity design, where you'll learn how to create cohesive visual identities for brands. Explore the process of logo design, brand guidelines, and collateral design. Gain insights into building strong brand narratives and communicating brand values through design.   Module 6: Web and User Interface (UI) Design Expand your skill set to include web and UI design, one of the fastest-growing areas in the industry. Learn how to design user-friendly interfaces for websites and applications, considering factors such as user experience, accessibility, and responsiveness. Master tools and techniques for prototyping and testing your designs.   With our expertly crafted modules, you'll gain the knowledge and skills you need to build a successful career in graphic design. Whether you're a beginner looking to break into the industry or a seasoned professional aiming to level up your portfolio, our course has something for everyone. Enroll today and start showcasing your best work with confidence! Course Curriculum Module 1_ Introduction to Graphic Design Introduction to Graphic Design 00:00 Module 2_ Design Fundamentals Design Fundamentals 00:00 Module 3_ Graphic Design Software Mastery Graphic Design Software Mastery 00:00 Module 4_ Creating a Professional Design Portfolio Creating a Professional Design Portfolio 00:00 Module 5_ Visual Branding and Identity Design Visual Branding and Identity Design 00:00 Module 6_ Web and User Interface (UI) Design Web and User Interface (UI) Design 00:00

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.

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Veterinary Nursing course is for those who want to advance in this field. Throughout this course, you will learn the essential skills and gain the knowledge needed to become well versed in Veterinary Nursing. Our course starts with the basics of Veterinary Nursing and gradually progresses towards advanced topics. Therefore, each lesson of this Veterinary Nursing is intuitive and easy to understand. So, stand out in the job market by completing the Veterinary Nursing course. Get an accredited certificate and add it to your resume to impress your employers. Along with the Veterinary Nursing course, you also get: Lifetime Access Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials- Anytime, Anywhere - From Any Smart Device (Laptop, Tablet, Smartphone Etc.) 100% Learning Satisfaction Guarantee Learn at your own pace from the comfort of your home, as the rich learning materials of this course are accessible from any place at any time. The curriculums are divided into tiny bite-sized modules by industry specialists. And you will get answers to all your queries from our experts. Curriculum Breakdown of the Veterinary Nursing Course Introduction to Veterinary Nursing Basic Care and Animal Welfare of All Species Career Prospect and Development Veterinary Nursing Legislation Collapse & Unconsciousness Cardiopulmonary Resuscitation Shock Bleeding Bandage Fractures Seizures Choking & Drowning Heat Stroke & Hypothermia Burns & Scalds Poisoning Bites and Stings Common Emergencies Managing a First Aid Scenario Pet First Aid Kit So, enrol and excel in your career with Compliance Central. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Veterinary Nursing course. Requirements To enrol in this Veterinary Nursing course, all you need is a basic understanding of the English Language and an internet connection. Career path After completing this course, you can explore trendy and in-demand jobs related to Veterinary Nursing. Veterinary Nurse: £22,000 to £30,000 per year (average salary) Animal Care Technician: £18,000 to £25,000 per year (average salary) Pet Insurance Claims Handler: £20,000 to £28,000 per year (average salary) Pet Nutritionist/Consultant: £25,000 to £35,000 per year (average salary) Certificates CPD Accredited Hard Copy Certificate Hard copy certificate - Included CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: £3.99 Outside of the UK: £9.99 CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate