29897 Management courses

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.

Training duration: 10 hrs Course info Method: 1-2-1, Personalized attention, Tailored content, Flexible pace, Individual support. Schedule: Personalized training experience with our flexible 1-2-1 sessions. Tailor your own schedule by pre-booking a convenient hour of your choice, available from Monday to Saturday between 9 am and 7 pm. Unlock visual effects and motion graphics skills with our 3ds Max and After Effects Course. Certified tutors guide you through seamless integration of 3D models and animations. Live online format, recorded lessons, and lifetime email support provided. Enroll now and explore exciting career opportunities in visual effects, animation, and motion graphics. Course Outline: Adobe After Effects Fundamentals. Getting Started Overview of the workspace and interface. Importing and organizing assets for seamless workflow. Understanding projects and compositions for effective project management. Working with layers to create complex compositions. Applying Effects (FX) Introduction to applying effects in After Effects. Fixed and applied FX for enhancing visual appeal. Understanding animation principles for smooth motion. Modifying motion paths to control animation trajectories. Mastering keyframes for precise animation control. Exploring the basics of the graph editor for advanced animation adjustments. Text Animation Creating and animating text in After Effects. Enhancing text with layer styles for engaging visuals. Utilizing animation options for dynamic text effects. Implementing motion blur for realistic motion. Shape Layers Introduction to shape layers and their versatility. Creating shapes from Illustrator files for flexible designs. Working with paths and their applications in animations. Utilizing animation options to breathe life into shapes. Exporting and Finalizing Projects Effective project management and organization techniques. Understanding export options for optimal rendering. Exporting projects through Media Encoder for various platforms. Utilizing dynamic link to Premiere Pro for seamless integration. Masks and Chroma-keying Creating and animating masks for selective visual effects. Utilizing tracking masks for precise adjustments. Limiting effects to specific areas using track mattes and property links. Mastering green-screen chroma-keying with Keylight 1.2. Additional Effects Exploring additional effects such as Warp Stabilizer, Camera Tracker, Motion Tracker, and Puppet Pin tool. Implementing these effects to enhance motion graphics and visual effects. Creative applications and hands-on practice with each effect. By the end of this fast-paced and practical Adobe After Effects training course, participants will achieve the following learning outcomes: Key Skills in After Effects: Gain proficiency in essential After Effects skills to transform video projects effectively. Professional Techniques: Master a range of professional techniques and processes invaluable for film makers, motion designers, and animators. Project Planning: Learn how to plan projects, prepare assets, and set compositions for seamless video production. Animation and Effects: Acquire the ability to apply and animate various transformations and effects on images, videos, and text elements. Masking and Compositing: Develop skills in masking and compositing to create visually stunning and cohesive compositions. Rendering Videos: Understand the video rendering process to produce high-quality final outputs.

This course explains the key elements, procedures and activities involved in successful Occupational Health and Safety Management in the workplace. The course show how professional Occupational Health and Safety Management benefits individuals and organisations. It will investigate workplace health models, including the basic criteria of the World Health Organisation model. You’ll discover the importance of a Health Needs Assessment and how it leads to the development of a Heath Management Strategy. On a more practical level, the course will look at hazards, risks, controls and ‘Safe Systems of Work’ and the role played by health risk assessments. Turning to workplace well-being, we’ll explain how to promote healthy lifestyles and positive mental health. You’ll learn how to manage absences from work, both authorised and unauthorised, how to create an official Attendance Policy, manage the return-to-work process and deal effectively with absenteeism. Finally, the course discusses the steps needed to develop and build a strong health and well-being culture, including leadership, communication, work-life balance and embracing change

ISO 26000:2010 and SA8000:2014 are international standards of Social Responsibility/ Accountability management systems (SR), the existence of these requires competent personnel to interpret their requirements, address those to integrate SR in an organization, and audit the organization to assess the implementation and effectiveness of overall implementation. This course is designed for professionals who are responsible for any aspect of Social Responsibility as well as for those, specifically, who are pursuing their career in the field of auditing and certification. This course enhances the knowledge and skills of delegates to understand the standard and audit it effectively. The course is consisting of study material in the form of self-study typewritten and exercises. Attendees of this course will be, on completion, competent to implement SR, Plan, Conduct & Report 1st, 2nd & 3rd party audits.   Features of Couse ✔ 100% Online Self-paced: Considering busy schedules, we have designed this course to be attended online without bounding with the timings. To make it interactive, we have created different communication groups where candidates can discuss the points with other fellows as well as the trainers of course. Also, they can interact with trainers on monthly demonstration classes. ✔ Testing the Learning: Each section of course is covered with exercise to check your understanding in real-time, and overall result is affected by exercises you complete. ✔ Self-Scheduling: This 40 Hours full fledge course is designed to match your schedule. You will get a life time access to this course and complete it on your ease. ✔ Superlative Material: The training is designed, developed and reviewed by competent auditors with extensive experience of auditing in different regions of world. ✔ Approved Course: The course is approved by one of the well-known personal certifying body “Exemplar Global”.   Who should attend this? This course is recommended to be attended by those who are involved in the implementation and/ or auditing of Social Responsibility (SR), specifically Social Responsibility (SR) Managers, Auditors, and others willing to add credibility with a widely accepted qualification for auditing. Also, recommended to satisfy the applicable requirement of training and competence, if any. This course can add value to your profile if you are Intending to perform audits of Social Responsibility (SR). A Social Responsibility (SR) Executive/ Management Representative An Existing Internal Auditor A Social Responsibility (SR) Consultant Responsible for implementing the Social Responsibility (SR) standard. Responsibility to evaluate the outcome of internal Social Responsibility (SR) audits and have responsibility/ authority to improve the effectiveness of the Social Responsibility (SR). Pursuing to make a career in Social Responsibility (SR) auditing.   Course Duration: 40 Learning Hours and extended time of exercise & Exam.   Certificate: Those who pass all exercises with 50% at least in each exercise will be awarded with successful completion certificate with the approval of Exemplar Global and a Lifetime validity. Note: Each exercise have 2 retakes, if a candidate fails in all 3 terms, the course will be blocked there and the candidate will have to purchase it again by paying 20% of the original price.   Content of Complementary Documentation Kit: 01 Social Responsibility Manual 08 Management System Procedures and 09 OHS Procedures 08 Policies 43 Forms 10 SOPs   Language of Course: English

This module covers the requirements for TExT and how to carry out the Thorough Examination and Test process for on-tool dust extraction machines. To complete the training you will need a working knowledge of machinery and have operated or completed Combined Inspections and Tests (PAT) on machines.

The Public Realm Manager course offers a deep dive into the multifaceted world of public spaces and their management. With a focus on urban planning, community development, and sustainable practices, this course prepares you to effectively oversee and enhance public areas, ensuring they are functional, accessible, and aesthetically pleasing. Whether it's managing parks, squares, or urban streets, you will gain a thorough understanding of the principles that guide the improvement and maintenance of these vital spaces. Through engaging modules, this course will help you develop key strategies for managing public realms efficiently, with a focus on environmental stewardship, safety, and user experience. Ideal for professionals looking to enhance their skillset or those already involved in public space management, the course provides you with the knowledge to implement best practices that improve the quality of life in urban environments. This training will equip you to confidently oversee projects, influence policies, and collaborate with stakeholders to create spaces that benefit everyone in the community. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01 : Introduction to Public Realm Management Module 02 : Planning and Design Principles Module 03 : Management and Maintenance Module 04 : Sustainability and Resilience Module 05 : Legal and Regulatory Framework Module 06 : Public Realm and Social Equity Learning Outcomes: Understand urban space enhancement strategies. Develop effective public realm design principles. Master management and maintenance techniques. Foster sustainability and resilience in public spaces. Navigate the legal and regulatory aspects of urban planning. Promote social equity through inclusive public realm management. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Urban planners and designers Environmentalists and sustainability advocates Local government officials Landscape architects Community development professionals Property developers Non-profit organizations focused on public spaces Anyone passionate about creating vibrant, inclusive urban environments Career path Urban Planner Landscape Architect Sustainability Consultant Community Development Officer Environmental Policy Analyst Local Government Administrator Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

ITIL® 4 Specialist: Drive Stakeholder Value: On-Demand The ITIL® 4 Specialist: Drive Stakeholder Value module is part of the Managing Professional stream for ITIL 4. Candidates need to pass the related certification exam for working towards the Managing Professional (MP) designation. This course is based on the ITIL® 4 Specialist: Drive Stakeholder Value exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. What You Will Learn The learning objectives of the course are based on the following learning outcomes of the ITIL® 4 Specialist: Drive Stakeholder Value exam specification: Understand how customer journeys are designed Know how to target markets and stakeholders Know how to foster stakeholder relationships Know how to shape demand and define service offerings Know how to align expectations and agree on details of services Know how to onboard and offboard customers and users Know how to act together to ensure continual value co-creation (service consumption / provisioning) Know how to realize and validate service value Customer Journey Purpose of the Module Purpose of Mastering the Customer Journey Touchpoints and Service Interactions Module Topics Mapping the Customer Journey Designing the Customer Journey Measuring and Improving the Customer Journey Customer Journey Step 1: Explore Purpose of the Module Purpose of the Explore Step Module Topics Understanding Service Consumers Understanding Service Providers Understanding and Targeting Markets Customer Journey Step 2: Engage Purpose of the Module Purpose of the Engage Step Aspects of Service Value Module Topics Service Relationship Types Building Service Relationships Building and Sustaining Trust and Relationships Analyzing Customer Needs Managing Suppliers and Partners Customer Journey Step 3: Offer Purpose of the Module Purpose of Shaping Demand and Service Offerings Module Topics Managing Demand and Opportunities Specifying and Managing Customer Requirements Designing Service Offerings and User Experience Selling and Obtaining Service Offerings Customer Journey Step 4: Agree Purpose of the Module Purpose of Aligning Expectations and Agreeing on Services Module Topics Agreeing on and Planning Value Co-Creation Negotiating and Agreeing on a Service Customer Journey Step 5: Onboard Purpose of the Module Purpose of Onboarding and Offboarding ITIL® Management Practices Module Topics Planning Onboarding Fostering Relationships with Users Providing User Engagement and Delivery Channels Enabling Users for Service Elevating Mutual Capabilities Offboarding Customer Journey Step 6: Co-create Purpose of the Module Purpose of Service Provision and Consumption Module Topics Service Mindset Ongoing Service Interactions Nurturing User Communities Customer Journey Step 7: Realize Purpose of the Module Measuring Service Value Purpose of Value Capturing and Customer Journey Improvement Realizing Service Value in Different Settings Module Topics Tracking Value Realization Assessing and Reporting Value Realization Evaluating Value Realization and Improving Customer Journeys Realizing Value for the Service Provider

Leading Change Effectively & Sustainably If you don't like change, you're going to like irrelevance even less.' This quote from General Shinseki is something many of you have heard from executives - and if you haven't, you should have! As the pace of change continues to accelerate all around us, transformative changes must be led effectively in order to be sustainable. Every project manager must extend their toolkit to encompass change management techniques - these techniques need to be deployed throughout the project lifecycle and with every stakeholder. This session will highlight change management frameworks and tools - best practices that can be effectively used by a project manager in nearly any project. Specific Frameworks: Kotter, Lewin, Kubler-Ross, Bridges Specific Tools: Readiness Assessment, Case for Change, Stakeholder Analysis, Impact & Reaction Assessment This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

The Dog Feeding and Raw Diet Management course invites you on an enriching journey into the world of canine nutrition, focusing on raw diet methodologies. Beginning with an intimate introduction to the course instructor and 'The Boys,' you'll gain a personal perspective on the transformative impact of proper dog feeding. This course is not just an educational venture; it's a comprehensive guide aimed at enhancing the well-being of your canine companions. As you delve into the specifics of the BARF (Bones And Raw Food) diet, you'll gain insights into a natural feeding approach that aligns with the ancestral dietary patterns of dogs. This module is more than just a lesson; it's a deep dive into the nutritional needs and benefits of raw food for dogs. The course also explores the concepts of Raw Meaty Bones (RMB) and Prey Model Feeding, offering an extensive view of different raw feeding techniques. Each section is meticulously designed to provide a balanced understanding of raw diet principles and practical application. Whether you are a dog owner, a pet care professional, or simply a dog lover, this course will equip you with the knowledge and skills to make informed decisions about your dog's diet. The inclusion of a module on Ready Made BARF solutions offers a pragmatic approach for those seeking convenient yet nutritious options for their pets. Learning Outcomes Understand the fundamentals of the BARF diet and its benefits for dogs. Gain knowledge about the Raw Meaty Bones feeding method and its application. Learn about various raw feeding models and their suitability for different dogs. Develop skills to manage a raw diet effectively for canine health. Acquire the ability to make informed decisions about dog nutrition and diet choices. Why choose this Dog Feeding and Raw Diet Management course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Dog Feeding and Raw Diet Management course for? Dog owners interested in transitioning their pets to a raw diet. Pet care professionals seeking to broaden their nutritional knowledge. Individuals considering adopting a dog and exploring feeding options. Veterinary students or professionals looking to expand their dietary advice repertoire. Anyone passionate about canine health and nutrition. Career path Pet Nutritionist - £20,000 to £35,000 Veterinary Nurse - £18,000 to £25,000 Dog Trainer - £15,000 to £30,000 Pet Care Business Owner - £25,000 to £40,000 Animal Welfare Officer - £20,000 to £35,000 Veterinary Dietitian - £22,000 to £40,000 Prerequisites This Dog Feeding and Raw Diet Management does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Meet Me And 'The Boys!' This Is Where It All Started. These 2 Dogs Changed My Life And Career 00:03:00 What You'll Get From This Course Here's what you'll get from this course 00:03:00 BARF (Bones And Raw Food) Feeding For Dogs What BARF Is And The Principles Of Feeding This Way 00:11:00 What Type Of Bones Should You Feed Your Dog? Here's The Answer 00:03:00 These Foods Are Also Important To Include 00:07:00 How Much Should You Feed Your Dog? You'll Find Out Here 00:02:00 This Is What You'll Need To Get Started 00:03:00 Important - Please Read This Please Read This First Before Watching The Next Sections 00:02:00 Raw Meaty Bones (RMB) Or Prey Model Feeding For Dogs Shattering The Myths About Raw Feeding 00:04:00 More Raw Feeding Myths Shattered 1 00:05:00 More Raw Feeding Myths Shattered 2 00:04:00 More Raw Feeding Myths Shattered 3 00:07:00 Raw Meaty Bones Feeding What The Raw Meaty Bones Feeding Method Is And How It Differs To BARF 00:07:00 How To Start Feeding Your Dog Raw Meaty Bones 00:10:00 How To Switch To A Raw Diet 00:03:00 Raw Food Supplier List 00:04:00 Additional Supplier List 00:03:00 3rd Suggestion - Ready Made BARF Ready Made BARF 00:09:00

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