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Understand the common myths and stigmas about suicide, and learn how to talk to someone who is struggling to cope in ISWAN's Suicide Prevention training.

Change management, dealing with change.

About this Training Course In context of trade, seamless supply chains and dependence on international resources, world is becoming one single market. Even though because of internet and widespread access to legal resources, business managers tend to share the common legal principles, but unfortunately, the legal framework and national laws of different countries still maintain a certain degree of uniqueness and protectionism. Thus, the success of an international contract will depend on the 'know how' in identifying the differences in legal regimes, diversity of legislature, scoping, contract drafting, negotiation and execution competencies in each context. It is getting not only important but crucial to consider risks from remote and unforeseen events, sanctions, and proxy wars. As a contract gets bigger in monetary value and wider in scope, more attention is needed in drafting and interpreting terms and conditions of any contract before signing on the last page or accepting it online. This 2 full-day course endeavours to enable the participants gain an understanding of the essential ingredients of contracts and mastering the international contracting principles. This course will equip participants to identify vague and ambiguous clauses, avoid dangerous and often hidden terms, and better understand the controlling position in a project. The participants will learn from the Case Law Reports and analysis to take home lessons learned from bitter experiences of peers in the industry. It is designed to help those who need a solution to manage current contractual issues or those who execute international contracts regularly and want to be more proficient in managing their contracts and projects, with changing contexts. Training Objectives On completion of this course, the participants will have learnt: Project management strictly in accordance with the contract and the corporate strategies How to ensure that Variations Order claims are appropriately managed in turnkey and lump-sum contracts Manage contemporary challenges and market factors with direct or indirect impact on the contracts Managing all members of the Supply Chain from vendors to logistics services providers Cost Engineering and Performance Management How to manage Consortium Partners, Contractors and Owners representatives When and how to obtain / grant extension of time (EOT) and costs Ability to identify rights and obligations of each party to a contract instead of making subjective decisions Ability to be firm in negotiations without violating the terms of the agreements Ability to spot different legal systems, contract laws and arbitration rules Ability to negotiate and avoid disputes and resolution in an amicable manner, in accordance with the provisions of the contract Competency in developing and maintaining documentary evidence and traceability for all works executed during the project Target Audience This course is intended for professionals from the Oil & Gas Industry, Heavy Engineering & Construction Industries, Terminals, Shipping and Maritime Logistics Services Providers. This course is not to be missed by, especially those who are involved in Contract Management and with roles related to Contracts e.g. Commercial Managers, Engineers, Procurement Managers and Finance Managers, with a non-legal background and Para-legal executives. Course Level Intermediate Trainer Principal Management Consultant Chartered Valuer and Appraiser (CVA) FACICA | FAMTAC | FAIADR | M.S.I.D | Member, AIEN LL.M. (IP Law), M. Sc. (Maritime Studies), M. Tech (Knowledge Engineering), MBA, First Class CoC (MCA, UK), B. E. (Elect) Your expert course leader, during the last 47 year period, has worked and consulted in the industry verticals encompassing: Technology, Oil & Gas Exploration & Production, Petrochemical Process Plants and Power Plant Construction Projects, Logistics & Warehousing, Marine, Offshore, Oil & Gas Pipelines, Infrastructure Development Projects (Ports, Offshore Supply Bases, Oil & Gas Terminals and Airports etc), EPCIC Contracts, and Shipyards, in South East Asia, Africa, Middle East, Americas and Europe. He serves as the Principal Management Consultant with a management consultancy in Hong Kong and Singapore, specialising in the fields of corporate management consultancy, international contracts reviews and alternative dispute resolutions services. He undertakes special assignments for conducting audits and valuation of intangible properties involving proprietary processes for licensed production, and licensing of intellectual property rights (IP Rights) in patents, trademarks, and industrial designs. He is frequently engaged for assignments like due diligence, acquisitions, mergers, resolving various operational issues, technology transfer and agency services contracts reviews, cost controls, and enhancement of Supply Chain Management. He has been conferred the credentials of Chartered Valuer & Appraiser (CVA) by SAC and IVAS, in accordance with the international valuation standards setting body IVSC. His consulting experience includes Charterparty Management, Business Process Re-engineering, Diversifications, Corporate Development, Marketing, Complex Project Management, Feasibility Studies, Dispute Resolutions and Market Research. He has successfully assisted Marine and offshore E & P clients in managing contractual disputes arising from various international contracts for upgrading & conversion projects. He continues to be actively engaged in claims reviews, mediation, arbitration, litigation, and expert witness related assignments, arising from international contracts and Charterparty Agreements. He graduated with a Bachelor's degree in Electrical Engineering, MBA in General Management, Master of Technology in Knowledge Engineering, Master of Science in Maritime Studies, and LL.M. (IP Law). He also holds professional qualifications in Business Valuations and Appraisers for CVA, arbitration, law, and marine engineering, including the Chief Engineer's First-Class Certificate of Competency (MCA, UK). He is further qualified and accredited as Certified International Arbitrator, Chartered Arbitrator, Sports arbitrator under CAS Rules, WIPO Neutral, Australian Communications and Media Authority (ACMA) Bargaining Code Arbitrator, Accredited Adjudicator and Accredited Mediator (Malaysia). He is admitted to the international panels of arbitrators and neutrals with WIPO, Geneva; ACICA, AMTAC and ACMA, Australia; BVIAC (British Virgin Islands); JIAC (Jamaica); HKIAC Hong Kong; AIAC, Malaysia; AIADR, Malaysia; KCAB, Seoul, South Korea; ICA, Delhi, India; ICC (Singapore); SISV, Singapore; SCMA, Singapore; SCCA, Saudi Arabia; VIAC Vienna, Austria; Thailand Arbitration Centre (THAC), and Mediator with AIAC Malaysia, CMC, and SIMI Singapore. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Description: Plan, write, edit, publish and market your non-fiction book Do you want to be a writer? Then take the Book Writing Certificate Course course and learn to write non-fiction book within two weeks and publish it. Writing a non-fiction book and writing an essay, business letter or other types of writing is different. Writing non-fiction not only needs story and sequence but also involves creativity, lucidity of language and the engaging ability of the author. Writing and publishing a book is not all. You have to market it to the targeted audience. Throughout the Book Writing Certificate Course, you will learn to find your ways of non-fiction writing, idea generating, planning about the structure of the book, structuring, and understanding challenges and more. Then, the course teaches you the procedures of publishing and, marketing your non-fiction book. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Book Writing Certificate Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Book Writing Certificate Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Day 1 - Introduction Introduction to the course and your tutor 00:13:00 Lec2 - Finding Your Why 00:14:00 Your idea and outline What is your idea? 00:20:00 Your idea - stage 2 00:11:00 Create it! 00:14:00 Day 2 - Structure How do you write a book 00:10:00 Chapter Planning 00:14:00 Tips & Ideas 00:12:00 Reviewing the process 00:03:00 Day 3 - Overcoming challenges Common challenges 00:08:00 More challenges 00:21:00 How to improve the content 00:05:00 Lec 15 Further challenges 00:18:00 Recap 2 00:03:00 Day 10 - Draft 1 First draft 00:07:00 Marketing Your Book Marketing your book - part 1 00:15:00 Marketing your book - part 2 00:11:00 Marketing your book - part 3 00:14:00 Lec 21 - Your Book Publishing Business 00:08:00 Day 14 - Conclusion & Next steps Day 14 - completion 00:03:00 Other opportunities 00:03:00 Conclusion 00:10:00 Resources Resources - Book Writing Certificate Course 00:00:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

This foundational course introduces the key concepts behind experience thinking and user experience design. It's a great place to start your learning journey!

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.

Innovation and Design - Thinking Beyond the Obvious: On-Demand Thinking and doing the same has got to change. The world we live in is becoming more volatile, uncertain, complex, and ambiguous. Expanding our innovation and design thinking capabilities is a key to unlock solutions for some of our biggest global and local challenges. What do you need to learn, do, and become in order to continue in the current and future environment? It is a powerful combination of knowledge, competencies, and mindset. In an increasingly complicated context, this course provides participants with the knowledge needed to not only learn about innovation and what is needed to make it sustainable in your organization but also to inspire others to innovate and think beyond the obvious, What You Will Learn At the end of this program, you will be able to: Explain the link between innovation and strategy Describe the value of expanding your innovation practice and creating an innovative culture would be Apply a basic set of Design Thinking techniques to your innovation projects Promote innovative practices within your teams and processes in your work environment Foundation Concepts The context for innovation What is innovation Comparing innovation to invention Innovation and Strategy Run and changing the business The power of disruptors Three horizons of growth Strategy and innovation portfolio links Innovation strategy and delivery Measuring value from innovation Design Thinking What is design thinking Why design thinking Design thinking frameworks Stanford university d.School model Design thinking general practices Innovative Decision Making Leaders focus on value creation Effective decision making Characteristics of great leaders and sponsors Measuring innovation leadership effectiveness Situational leadership and overcoming bias Building an Innovative Team Forming innovative teams Values and behaviors that support innovation Building an energized team culture Mindset is key Embracing collaboration and multimodal working Innovative Culture Introduction to organizational culture Benefits and barrier to enterprise agility Enabling innovation across the organization Leaders are critical Success factors for an innovative culture

Dive into the intricate world of event execution and evaluation. Cultivate operational excellence, navigate unexpected challenges, ensure safety and security, and harness the power of post-event analysis to continuously improve your event management skills. After the successful completion of the course, you will be able to learn about the following, Managing event operations, including event setup, staffing, and execution. Addressing unexpected challenges and changes during the event. Managing event safety and security. Importance of Event Evaluation. Conducting post-event evaluations. Developing recommendations for future events based on evaluation findings. Discover the intricacies of event marketing through this course, where you'll explore topics such as understanding diverse target audiences, creating powerful event branding, crafting effective marketing materials, utilizing appropriate channels, and analyzing promotional efforts. Gain insights into current marketing trends shaping the industry.   This course equips participants with hands-on expertise in executing flawless events. From managing operations and ensuring safety to addressing unforeseen challenges, participants will learn the art of post-event evaluations. The course culminates in the development of strategic recommendations, preparing graduates for diverse roles in the dynamic field of event execution and evaluation. Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Executing and Evaluating Events Self-paced pre-recorded learning content on this topic. Executing and Evaluating Events Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Event Operations Manager Event Safety Coordinator Event Execution Specialist Evaluation Analyst Event Manager Operations Coordinator Safety and Security Manager Event Planning Consultant Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

The aim of the Implementing Change in Health and Social Care course is to provide students with the knowledge, skills, and strategies needed to effectively plan, implement, and evaluate change initiatives in a healthcare setting. The course aims to equip students with the ability to identify and address the challenges of implementing change, as well as to understand the importance of stakeholder engagement and effective communication throughout the change process. By the end of the course, students should be able to apply these concepts to successfully implement change initiatives that improve organizational effectiveness, patient outcomes, and quality of care in health and social care. The Implementing Change in Health and Social Care course aims to equip students with the knowledge, skills, and strategies needed to effectively plan, implement, and evaluate change initiatives in healthcare. The course covers topics such as identifying and addressing the challenges of implementing change, stakeholder engagement, and effective communication throughout the change process.After the successful completion of the course, you will be able to: Defining the concept of Change Management and change resistance. Explaining the types and causes of change resistance. Learning the various strategies for overcoming resistance to change. Understanding the concept, elements, and steps of the Change Management plan. Learning the concept, levels, and causes of conflicts. Understanding the concept, benefits, and principles of Quality of Care The Implementing Change in Health and Social Care course aims to equip students with the knowledge, skills, and strategies needed to effectively plan, implement, and evaluate change initiatives in healthcare. The course covers topics such as identifying and addressing the challenges of implementing change, stakeholder engagement, and effective communication throughout the change process. By the end of the course, students should be able to apply these concepts to improve organizational effectiveness, patient outcomes, and quality of care in health and social care. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Implementing Change and Dealing with Resistance in Health and Social Care - N Self-paced pre-recorded learning content on this topic. Implementing Change in Health and Social Care Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Healthcare Manager Social Care Manager Equality, Diversity and Inclusion (EDI) Manager HR Manager or HR Business Partner Healthcare Professional Social Care Professional Nurse or Caregiver Medical or Allied Health Professional Diversity and Inclusion (D&I) Consultant Employee Relations Specialist Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

COURSE INTRODUCTION  The purpose of this course is to introduce / refresh participants’ knowledge and skills in the essential aspects of diabetes management in their practice setting.  AIMS AND OBJECTIVES  Identify their current knowledge of diabetes care and how confident they feel about offering advice to a patient with diabetes and or their family. Purpose and outcomes of the main treatment options for people with diabetes . Discuss the importance of addressing the person’s needs and how regular clinic visits impact on the management of diabetes All course materials and certificate of attendance Accreditation 6 CPD points awarded completion. Accredited by One Awards (*Certificate £30) and CPD Standards (*Certificate free) Discuss how to build relationships and establish an environment that enables the person with diabetes to take an active role in their diabetes management  COURSE CONTENTS OVERVIEW  Aetiology and diagnosis of type 1 and type 2. Difference between type 1 and type 2 diabetes  Implications for practice  Management goals TYPE 1  Treatment and management options  Carbohydrate awareness  Challenges in self-management  Hypoglycaemia and hyperglycaemia  Screening and the annual review TYPE 2  First line treatment and step-wise options  Food choices and relation to risk  Activity and type 2 diabetes  Cardiovascular disease and type 2 diabetes  Screening and annual review  SUPPORTING PEOPLE WITH DIABETES AND THEIR FAMILY  Seeing the person not the disease  Consultation skills  Ongoing support needs .  Food and lifestyle messages for diabetes  Annual review and screening including foot care advice  Blood glucose monitoring  Consultation skills and relationship building  Complications and treatment options  WHO SHOULD ATTEND?  Nurses HCAs