2987 Development courses delivered Live Online

Anxiety and Depression Management Diploma Course Overview The "Anxiety and Depression Management Diploma" offers comprehensive training on managing and alleviating symptoms of anxiety and depression. This course equips learners with an understanding of the science behind mental health issues, including the role of neurotransmitters and GABA, and explores various techniques such as Emotional Freedom Technique (EFT) and NLP Anchoring. It provides valuable insights into meal planning for mental well-being, ensuring learners can apply a holistic approach to managing anxiety and depression. This course is designed for those seeking to enhance their knowledge and skills in mental health management, with practical applications for individuals and professionals alike. Course Description This course delves deeply into the biological and psychological aspects of anxiety and depression, covering essential topics such as neurotransmitters and GABA, which play a crucial role in regulating mood. Learners will explore emotional relief techniques like Emotional Freedom Technique (EFT) and NLP Anchoring, which have shown effectiveness in reducing anxiety. The course also addresses the importance of nutrition with tailored meal plans that support mental health. Throughout the programme, learners will engage in evidence-based strategies aimed at alleviating symptoms and promoting emotional well-being. Upon completion, learners will be equipped with a holistic understanding of managing anxiety and depression through multiple therapeutic approaches. Anxiety and Depression Management Diploma Curriculum Module 01: Neurotransmitters Module 02: GABA Module 03: Emotional Freedom Technique for Anxiety Relief Module 04: NLP Anchoring for Anxiety Relief Module 05: Meal Plans (See full curriculum) Who is this course for? Individuals seeking to manage anxiety and depression effectively. Professionals aiming to enhance their therapeutic practices or mental health expertise. Beginners with an interest in mental health and wellness. Anyone looking to improve their understanding of mental health management techniques. Career Path Mental Health Practitioner Counsellor or Therapist Wellness Coach Personal Development Specialist Nutritionist (with a focus on mental well-being)

Course Overview The Hospitality Management Level 5 course offers a comprehensive insight into the dynamic and fast-paced world of hospitality. Designed to build a strong foundation in management practices, service excellence, and operational efficiency, the course equips learners with the knowledge and leadership skills required for success in the industry. Covering critical areas such as front office operations, food and beverage management, customer satisfaction, and marketing in travel and tourism, it ensures a well-rounded understanding of hospitality business functions. The curriculum also embraces modern developments such as e-hospitality and the use of technology in operations. Upon completion, learners will have developed key competencies in managing service quality, human resources, and financial aspects of hospitality enterprises. This qualification is ideal for those seeking career progression or wishing to enter this vibrant sector, offering valuable insights into creating memorable guest experiences and efficient business practices within hotels, resorts, and related hospitality organisations. Course Description The Hospitality Management Level 5 course delves deeper into the essential principles, operational challenges, and strategic approaches within the hospitality sector. Learners will explore the structure and evolution of the hotel industry, the importance of efficient recruitment and training processes, and the management of core areas including front office, housekeeping, food and beverage, and security operations. In addition, the programme highlights the significance of customer satisfaction, quality service delivery, marketing strategies, and financial management within hospitality environments. Contemporary topics such as e-hospitality and technology adoption are also integrated to reflect current industry trends. Throughout the course, participants will gain valuable knowledge, analytical capabilities, and management techniques that are crucial for sustaining high service standards and fostering business growth. The course structure is designed to cater to a wide range of learners, providing the flexibility to support both career advancement and entry into this dynamic field. Course Modules Module 01: Introduction to Hospitality Management Module 02: An Overview of Hotel Industry Module 03: The Process of Selection and Recruitment in Hospitality Industry Module 04: The Process of Development and Training in Hospitality Industry Module 05: Management of Front Office Operations Module 06: Management of Housekeeping, Engineering and Security Operations Module 07: Management of Food and Beverage Operations Module 08: Management of Service Quality in Hospitality Industry Module 09: Marketing in Travel and Tourism Business Module 10: Accounting in Hospitality Industry Module 11: Customer Satisfaction Module 12: E-Hospitality and Technology (See full curriculum) Who is this course for? Individuals seeking to start a career in hospitality management. Professionals aiming to enhance their expertise in hospitality leadership and operations. Beginners with an interest in the hospitality and tourism industries. Entrepreneurs planning to launch or manage hospitality ventures. Employees wishing to transition into supervisory or management roles within hospitality. Career Path Hotel Manager Front Office Manager Food and Beverage Manager Guest Relations Manager Hospitality Operations Manager Housekeeping Manager Resort Manager Travel and Tourism Consultant Event Coordinator within Hospitality Industry Hospitality and Tourism Marketing Executive

Join Heidi Steel for an insightful webinar, "Embracing Autonomy: How Unschooling Supports and Empowers PDA Children," where she will delve into the world of unschooling and its profound impact on children with Pathological Demand Avoidance (PDA). In this webinar, you will learn how unschooling can provide an ideal environment for PDA children by honouring their autonomy, interests, and individual needs. She will explore how unschooling principles can help reduce anxiety and foster a sense of empowerment in PDA children. Heidi will share practical strategies and real-life examples of how unschooling can support the unique strengths and challenges of PDA children. During the webinar, we will cover topics such as: Understanding the unique needs and characteristics of PDA children How unschooling can create a supportive environment for PDA children Implementing unschooling strategies for PDA children A recording of this webinar is included and available for two weeks after the live event. These webinars are FREE for Unschooling Village Hub Members along with a back catalogue of Unschooling Webinars, regular live coaching sessions, and discounts on coaching and mentoring services. Sign up for just £20 per month. Yes! I want to join the LPL Unschooling Village Hub

This course aims to assist adult learners in improving their pronunciation skills and reducing their accents to enhance their overall communication in English. Through a variety of exercises and activities, participants will focus on specific sounds, stress patterns, intonation, and rhythm to develop clearer and more fluent speech. Course Duration: 10 weeks (20 sessions) Course Objectives: By the end of this course, participants will: 1. Identify and produce accurate sounds, stress patterns, and intonation in English. 2. Develop awareness of their own pronunciation challenges and strategies for improvement. 3. Reduce their native accent to improve overall intelligibility. 4. Enhance their listening skills and ability to distinguish between different sounds. 5. Increase their confidence in spoken English communication. Course Outline: Week 1: Introduction to Pronunciation and Accent Reduction - Assessing participants' pronunciation strengths and areas for improvement - Understanding the importance of pronunciation in effective communication - Introduction to key concepts: sounds, stress, intonation, and rhythm Week 2: Vowel Sounds - Identifying and producing English vowel sounds - Practice exercises and drills for accurate vowel pronunciation - Common pronunciation challenges and strategies for improvement Week 3: Consonant Sounds - Identifying and producing English consonant sounds - Focus on challenging consonant sounds and their correct articulation - Practice exercises and drills for accurate consonant pronunciation Week 4: Word Stress and Sentence Stress - Understanding the concept of stress and its role in English pronunciation - Practice exercises for placing stress on the correct syllables in words and sentences - Intonation patterns in different sentence types Week 5: Rhythm and Linking - Developing a sense of rhythm in English speech - Practice exercises for linking words together and maintaining flow - Awareness of connected speech phenomena Week 6: Intonation Patterns - Recognizing and producing different intonation patterns in English - Practice exercises for conveying meaning through intonation - Intonation in questions, statements, and emotions Week 7: Pronunciation of Commonly Mispronounced Words - Identification and correction of commonly mispronounced words - Practice exercises for improving pronunciation of specific words - Strategies for self-correction and continued improvement Week 8: Accent Reduction Techniques - Understanding the impact of native accents on English pronunciation - Techniques for reducing native accents and improving intelligibility - Practice exercises for adopting a more neutral accent Week 9: Listening Skills and Discrimination - Enhancing listening skills to better distinguish between sounds - Practice exercises for recognising and discriminating between similar sounds - Developing an ear for correct pronunciation through listening activities Week 10: Review and Fluency Practice - Reviewing course content and addressing individual needs - Fluency practice exercises and activities - Final evaluation and feedback session Note: This syllabus is a guideline and can be customised based on the specific needs and preferences of the participants. You can opt in and out of different modules. 

Duration 2 Days 12 CPD hours This course is intended for SAP professionals Overview Explain the motivation and need for a next generation business suite and how SAP S/4HANA enables a digital organizationDescribe the SAP S/4HANA business and technical architectureGain basic knowledge about SAP Activate to accelerate SAP S/4HANA adoptionExplain how SAP S/4HANA supports the business users with a new user experience (e.g.: SAP Fiori UX)Describe key business processes of SAP S/4HANA Enterprise ManagementExplain SAP S/4HANA embedded analytics capabilitiesGain basic knowledge about SAP S/4HANA LoB solutions and add-on supportDescribe integration scenarios between SAP S/4HANA and SAP Cloud solutions In this course, students learn a broad range of topics including the motivation behind the development of SAP S/4HANA. Course Outline Introduction to SAP S/4HANA SAP S/4HANA user experience SAP HANA powers SAP S/4HANA SAP Activate for SAP S/4HANA SAP S/4HANA Enterprise Management, LoB solutions and add-ons SAP S/4HANA embedded analytics Integration between SAP S/4HANA Core and SAP Cloud solutions Additional course details: Nexus Humans S4H01 SAP Business Suite to SAP S/4HANA Delta training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the S4H01 SAP Business Suite to SAP S/4HANA Delta course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Course Overview The Nursing Assistant Diploma offers an in-depth introduction to the fundamental principles and practices of nursing support. This comprehensive course provides learners with essential knowledge of patient care, healthcare standards, ethical practices, and communication techniques within various healthcare settings. Designed to prepare individuals for a rewarding career in healthcare, the course emphasises the importance of safety, hygiene, infection control, and effective patient interaction. By completing this programme, learners will develop a strong foundation in the roles and responsibilities of a nursing assistant, enhancing their competence and confidence to contribute effectively within multidisciplinary healthcare teams. Graduates will be well-equipped to support patient care delivery across hospitals, residential homes, and community care environments. This diploma also provides an ideal stepping stone for further professional development in the healthcare sector, setting learners on a clear path towards meaningful employment and continuous advancement within the nursing field. Course Description The Nursing Assistant Diploma is carefully structured to guide learners through the essential areas of healthcare support. Covering topics such as nursing fundamentals, healthcare legislation, communication skills, infection control, medication administration, and patient mobility, the course ensures a thorough understanding of the nursing assistant role. Learners will explore the professional standards expected in healthcare environments and acquire valuable knowledge regarding patient hygiene, nutrition, oxygenation, and pain management. The curriculum fosters critical skills necessary for maintaining health and safety in clinical settings while promoting compassionate and ethical patient care. By the end of the course, learners will have developed the ability to assist nursing teams, contribute to patient wellbeing, and respond appropriately to a range of care scenarios. Designed to accommodate learners from all backgrounds, the Nursing Assistant Diploma prepares individuals for career opportunities in hospitals, care homes, rehabilitation centres, and other healthcare organisations. Course Modules Module 01: Introduction to Nursing Module 02: Working in Different Healthcare Settings Module 03: Legal, Standards and Professional Aspects of Ethical Practice: Part – 1 Module 04: Legal, Standards and Professional Aspects of Ethical Practice: Part – 2 Module 05: Effective Communication in Nursing Module 06: Health and Safety in Nursing Module 07: Hygiene in Nursing Module 08: Infection Control Module 09: Asepsis in Nursing Module 10: Medication Administration in Nursing Module 11: Understanding the Immune System in Nursing Module 12: Rest and Sleep Management in Nursing Module 13: Mobility and Immobility Issues of Patients in Nursing Module 14: Pain Management for Nurses Module 15: Nutrition in Nursing Module 16: Fluid and Electrolyte Balance Module 17: Assisting with Elimination Module 18: Oxygenation in Nursing (See full curriculum) Who is this course for? Individuals seeking to build a career as a Nursing Assistant. Professionals aiming to enhance their healthcare support skills. Beginners with an interest in nursing and patient care. Career changers looking to enter the healthcare sector. Healthcare support workers wishing to formalise their skills with a recognised qualification. Career Path Nursing Assistant Healthcare Support Worker Care Assistant Residential Care Worker Community Healthcare Worker Rehabilitation Support Assistant Patient Care Assistant Healthcare Administrative Support Staff

Course Overview The Level 3 Diploma in Health and Social Care provides a comprehensive introduction to the fundamental principles, practices, and responsibilities involved in supporting individuals across health and social care settings. This course covers communication techniques, safeguarding, professional ethics, legal frameworks, and risk management, offering a thorough understanding essential for a successful career. Learners will gain the knowledge needed to promote equality, uphold rights, and support the wellbeing of vulnerable individuals. Designed to prepare learners for employment or further study, this diploma develops critical skills valued within the sector, including decision-making, professional conduct, and awareness of care standards. Upon completion, learners will be well-equipped to contribute meaningfully to a range of health and social care environments, ensuring they make a positive impact on service users' lives and outcomes. The course offers strong foundations for those aspiring to work confidently and ethically within one of the UK's most important industries. Course Description The Level 3 Diploma in Health and Social Care offers in-depth training across key areas crucial for effective practice within the sector. The curriculum includes an exploration of communication strategies, safeguarding procedures, professional standards, legal obligations, and ethical considerations. Learners will develop a clear understanding of their role as caregivers and healthcare professionals, learning how to promote diversity, equality, and the rights of those in their care. Through a structured learning journey, students will build essential skills such as critical thinking, risk assessment, and compliance with health and safety responsibilities. The course provides an engaging learning experience that fosters personal development, enhances industry-relevant knowledge, and prepares learners to meet the demands of various care settings. Whether aiming for immediate employment or progression to further qualifications, this diploma serves as a stepping stone to a rewarding career supporting others and improving health and social care services across the community. Course Modules Module 01: Introduction to Health and Social Care Module 02: Communication and its Relevance Module 03: Rights and Responsibilities as a Health and Social Care Worker Module 04: Role as A Caregiver and Healthcare Professional Module 05: Working in Health and Social Care; Promoting Equality, Diversity and Rights Module 06: Important Principles and Policies in Health and Social Care Work Module 07: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part – 1 Module 08: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part – 2 Module 09: Safeguarding Vulnerable Individuals Module 10: Health and Safety Responsibilities Module 11: Risk Management in Health and Social Care (See full curriculum) Who is this course for? Individuals seeking to build foundational knowledge in health and social care. Professionals aiming to enhance their understanding of industry regulations and ethical practice. Beginners with an interest in pursuing a career in health and social care. Career changers looking to enter the health and social care sector. Career Path Healthcare Support Worker Care Coordinator Social Care Worker Residential Care Officer Healthcare Assistant Community Support Worker Welfare Support Worker Mental Health Support Worker

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

Duration 3 Days 18 CPD hours This course is intended for Database Administrator Enterprise Architect System Administrator System Architect Technology Consultant Overview This course will prepare you to: Understand the concepts of SAP BTP Understand the tasks of an SAP BTP administrator Administrate accounts, services, and users in SAP BTP Manage connections, databases, and monitoring in SAP BTP This course will prepare you to:Understand the concepts of SAP BTPUnderstand the tasks of an SAP BTP administratorAdministrate accounts, services, and users in SAP BTPManage connections, databases, and monitoring in SAP BTP SAP Strategy RISE with SAP and Intelligent, Sustainable Enterprise SAP BTP Use Cases Architectures Account Model and Services ABAP, Cloud Foundry, and Kyma Runtime Environments Cloud Development Concept Configuration Discovery Center and Boosters Command Line Interface Connectivity Destinations Cloud Connector User Management Account User Management SAP Cloud Identity Services Database Offerings SAP HANA Cloud Application Lifecycle Management Product Portfolio Monitoring SAP Application Logging Service SAP Cloud ALM Interface Channel SAP Cloud Transport Management Service SAP Cloud Transport Management Service Additional course details: Nexus Humans Introduction to SAP Business Technology Platform (BTP) Administration training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to SAP Business Technology Platform (BTP) Administration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for Executives, Project Managers, Business Analysts, Business and IT stakeholders engaged in improving the delivery of products and services that meet user needs through the use of Microsoft SharePoint; Anyone who wants to improve their Business Analysis skills; Project stakeholders concerned with SharePoint requirements. Overview Plan, manage and close requirements for a project in reduced time using good business analysis practices Minimize project uncertainty and risk by applying good techniques Ensure your project delivers required functionality and adds value to the business Create an environment of self-management for your team that will be able to continuously align the delivered product or services with desired business needs, easily adapting to changing requirements throughout the process. Requirements can change frequently during a SharePoint project, and therefore projects need a streamlined, flexible approach to requirements change management. SharePoint professionals want to develop systems and services which are both high-quality and high-value, and the easiest way to achieve this is to implement the highest priority requirements first. This enables the projects to maximize value for their stakeholders. Introduction ? Roles involved in a SharePoint project The opportunities and challenges of a SharePoint project The business analysis process BA role vs. project manager role BA / PM competencies Case Study Exercise Understanding SharePoint Requirements Business, User, Functional, Quality-of-service and implementation requirements Requirements vs. specifications Requirements vs. business rules Risk management and risk response strategies Analyzing requirements Characteristics of effective requirements Case Study Exercise SharePoint Requirements Modeling Identify high level scope Identify initial requirements stack Identify an architectural vision Plan your iteration Iteration modeling Model storming Test driven development Case Study Exercise The Change Management Process Managing the Solution Scope and Requirements Capturing the Requirements Traceability Maintaining the Requirements for re-use Managing Requirements Conflicts Preparing the Requirements Package Building the Requirements communications plan Case Study Exercise Assessing & Validating Requirements Validating and verifying SharePoint Requirements Creating a master test plan Create test scenarios and test cases Case Study Exercise Additional Information Useful books and links on managing requirements and projects for SharePoint initiatives