41 Courses in Nottingham delivered Live Online

How to Analyse & Maximize Restaurant Profits Course Overview This course on "How to Analyse & Maximize Restaurant Profits" offers comprehensive insights into understanding the financial dynamics of a restaurant business. It covers key concepts such as revenue analysis, menu optimisation, and cost control strategies to help learners identify areas of improvement for enhanced profitability. By the end of the course, learners will have a thorough understanding of the various factors influencing restaurant performance, from pricing strategies to inventory management. This course provides valuable skills that enable learners to make informed decisions that directly impact the bottom line of any restaurant business. Course Description In this course, learners will explore essential topics such as restaurant revenue analysis, menu engineering, and cost management. The course delves into the principles of profit maximisation, offering strategies to analyse sales data, optimise menu offerings, and manage food and labour costs efficiently. Learners will acquire skills in identifying profitable menu items, reducing waste, and increasing operational efficiency. This in-depth course is designed to equip participants with the knowledge and strategies needed to improve the profitability of a restaurant, ensuring they can make data-driven decisions to drive growth and sustainability. How to Analyse & Maximize Restaurant Profits Curriculum Module 01: Introduction Module 02: Restaurant Revenue Analysis Module 03: Menu Engineering Report Module 04: Cost Analysis & Management (See full curriculum) Who is this course for? Individuals seeking to understand restaurant profitability. Professionals aiming to enhance their skills in restaurant management. Beginners with an interest in the food and hospitality industry. Entrepreneurs looking to improve restaurant financial performance. Career Path Restaurant Manager F&B (Food and Beverage) Operations Manager Menu Analyst Financial Analyst in the hospitality industry Restaurant Owner/Entrepreneur

The Art of Persuasive Communication Course Overview This course explores the essential techniques and principles of persuasive communication, equipping learners with the skills to influence and engage effectively across diverse settings. Covering key areas such as rhetorical strategies, emotional intelligence, and audience analysis, the course offers practical knowledge that enhances personal and professional interactions. Learners will develop confidence in crafting compelling messages, improving negotiation abilities, and fostering meaningful connections. Designed for a wide range of individuals, this course provides valuable tools to advance communication proficiency, enabling participants to stand out in business, leadership, sales, or everyday conversations. Course Description Delving deeper into the art and science of persuasion, this course covers foundational topics including persuasive language, storytelling, non-verbal cues, and ethical communication practices. Through a structured learning experience, participants will examine various communication models and apply these to real-life scenarios, enhancing clarity and impact. Emphasis is placed on understanding audience needs, overcoming objections, and building trust. By completing this course, learners gain advanced skills to influence decision-making, resolve conflicts, and inspire action with confidence and integrity. The content is carefully designed to develop critical thinking, empathy, and effective dialogue within both professional environments and personal relationships. The Art of Persuasive Communication Curriculum Module 01: Introduction to Persuasive Communication Module 02: Principles and Techniques of Persuasion Module 03: Crafting Powerful Messages Module 04: Understanding and Engaging Your Audience Module 05: Emotional Intelligence in Communication Module 06: Non-Verbal Communication and Its Impact Module 07: Overcoming Resistance and Handling Objections Module 08: Ethical Considerations in Persuasive Communication Module 09: Persuasion in Leadership and Negotiation Module 10: Enhancing Communication for Career Success (See full curriculum) Who Is This Course For? Individuals seeking to improve their influence and communication skills. Professionals aiming to enhance leadership and negotiation abilities. Beginners with an interest in mastering effective communication techniques. Anyone looking to boost confidence in personal and business conversations. Career Path Communications Specialist Sales and Marketing Executive Public Relations Officer Customer Relationship Manager Leadership and Management Roles Negotiation Consultant Corporate Trainer in Communication

Palliative Facilitator Course Overview This course provides an in-depth exploration of palliative and end-of-life care, equipping learners with the knowledge to support individuals facing terminal illness. Covering a wide range of topics, including illness stages, holistic assessments, and legal considerations, this course offers learners the skills necessary to address the complex needs of patients and their families. Upon completion, learners will be able to apply principles of palliative care with confidence, ensuring dignity, comfort, and respect in the end-of-life process. This course is essential for anyone looking to pursue or advance a career in healthcare or support services related to end-of-life care. Course Description This course delves deeper into the key aspects of palliative and end-of-life care, addressing both the theoretical and practical elements involved in caring for individuals with terminal conditions. Learners will study the stages of illness, conduct holistic assessments, and explore advanced care planning to enhance patient quality of life. Topics include the psychological, emotional, and social needs of patients and their families, as well as the legal aspects of end-of-life care. Through this course, learners will develop essential skills to provide compassionate, informed support to patients in their final stages, while ensuring adherence to best practices and legal requirements. Palliative Facilitator Curriculum Module 01: Introduction to Palliative & End of Life Care Module 02: Identification of the Stage of Illness Module 03: Palliative Care Holistic Assessment Module 04: Advance Care Planning Module 05: Further Support, Training and Development Module 06: Legal Issues (See full curriculum) Who is this course for? Individuals seeking to work in palliative and end-of-life care. Professionals aiming to enhance their career in healthcare or support services. Beginners with an interest in the field of healthcare or social services. Those interested in improving their knowledge of legal and ethical issues in end-of-life care. Career Path Palliative Care Specialist End-of-Life Care Consultant Hospice Care Worker Healthcare Administrator Social Worker in Health and Social Care Bereavement Counsellor

Vegan Nutrition and Cooking Diploma Course Overview The Vegan Nutrition and Cooking Diploma is designed for those looking to explore the principles of plant-based nutrition and master the art of vegan cooking. This comprehensive course covers the essentials of vegan diets, from nutritional planning to meal preparation, providing learners with the knowledge to create balanced and nourishing meals. By completing this diploma, learners will gain a deep understanding of the nutritional needs of a vegan lifestyle and how to prepare a wide range of meals that promote health and well-being. Whether for personal growth or professional development, this course offers a solid foundation in vegan nutrition and cooking, empowering individuals to adopt or teach others about a plant-based lifestyle. Course Description This course delves into the science of vegan nutrition, focusing on the key nutrients required for optimal health, such as protein, vitamins, and minerals. Learners will explore vegan food groups, how to create well-rounded meals, and learn cooking techniques suited to plant-based diets. The course also includes practical advice on meal planning, food substitutions, and how to cater for different dietary needs within a vegan framework. Through the course, students will develop the skills to prepare a variety of vegan dishes, from quick snacks to elaborate meals, enabling them to create nutrient-dense menus for different occasions. By the end of the course, learners will have the expertise to confidently advise on vegan nutrition and create diverse, balanced, and flavourful vegan meals. Vegan Nutrition and Cooking Diploma Curriculum Module 01: Vegan Nutrition and Cooking Diploma Module 02: Vegetarian and Vegan Nutritionist Diploma (See full curriculum) Who is this course for? Individuals seeking to transition to a vegan lifestyle. Professionals aiming to expand their knowledge in nutrition and cooking. Beginners with an interest in plant-based nutrition and cooking. Health-conscious individuals wishing to explore vegan diets. Aspiring chefs looking to specialise in vegan cuisine. Career Path Vegan Chef or Cook Nutrition Consultant for Plant-Based Diets Health and Wellness Coach Recipe Developer or Food Blogger Culinary Instructor specialising in Vegan Cooking Food Product Development for Vegan Brands

Particle Physics Course Overview This Particle Physics course offers a comprehensive introduction to the fundamental constituents of matter and the forces governing their interactions. Learners will explore the nature of elementary particles, the structure of the atomic nucleus, and the principles behind nuclear physics. The course also covers the technology behind particle accelerators and radiation detectors, providing insight into modern experimental methods. By completing this course, learners will gain a solid understanding of the Standard Model of particle physics and the key concepts that underpin contemporary physics research. This knowledge will equip students with the theoretical and analytical skills essential for further study or careers in physics, research, and related scientific fields. Course Description Delving deeply into the world of subatomic particles, this course covers the classification and properties of elementary particles, the composition and behaviour of atomic nuclei, and the foundational aspects of nuclear physics. Learners will study the design and function of particle accelerators and radiation detectors, essential tools in particle physics experiments. The course elaborates on the Standard Model, explaining its role in unifying particle interactions and forces. Through engaging lectures and detailed explanations, students will develop critical thinking and analytical skills necessary to understand cutting-edge physics. Suitable for those with a keen interest in physics, the course fosters a clear understanding of complex concepts and prepares learners for advanced academic or professional pathways within scientific research and technology sectors. Particle Physics Curriculum Module 01: Introduction to Particle Physics Module 02: Elementary Particles Module 03: The Nucleus Module 04: Nuclear Physics Module 05: Particle Accelerators Module 06: Radiation Detectors Module 07: The Standard Model (See full curriculum) Who is this course for? Individuals seeking to understand the fundamental principles of particle physics. Professionals aiming to develop their knowledge for careers in physics or scientific research. Beginners with an interest in the composition of matter and the universe. Students preparing for advanced study in physics or related scientific disciplines. Career Path Research Scientist in Particle or Nuclear Physics Laboratory Technician in Physics or Engineering Science Communicator or Educator specialising in Physics Technical Specialist in Particle Accelerator Facilities Analyst in High-Energy Physics or Related Industries

Duration 2 Days 12 CPD hours This course is intended for Data Protection Officers Data Protection Managers Auditors Legal Compliance Officers Security Manager Information Managers Anyone involved with data protection processes and programmes Overview Principles of Privacy Program Management is the how-to training on implementing a privacy program framework, managing the privacy program operational lifecycle and structuring a knowledgeable, high-performing privacy team. Those taking this course will learn the skills to manage privacy in an organization through process and technology?regardless of jurisdiction or industry. The Principles of Privacy Program Management training is based on the body of knowledge for the IAPP?s ANSI accredited Certified Information Privacy Manager (CIPM) certification program. Founded in 2000, the IAPP is the world?s largest and most comprehensive privacy resource with a mission to define, support and improve the Privacy profession globally. Every organization has data protection needs. Every day, we access, share and manage data across companies, continents and the globe. Knowing how to implement a privacy program is an invaluable skill that will help you protect your organization?s data?and take your career to the next level. Our Principles of Privacy Program Management training is the premier course on implementing a privacy program framework, managing the privacy program operational lifecycle and structuring a privacy team. Introduction to privacy program management Privacy program management responsibilities Accountability in privacy program management Privacy governance Considerations for developing and implementing a privacy program Position of the privacy function within an organization Role of the DPO Program scope and charter Privacy strategy Support and ongoing involvement of key functions and privacy frameworks Applicable laws and regulations The regulatory environment Common elements across jurisdictions Strategies for aligning compliance with organizational strategy Data assessments Practical processes for creating and using data inventories/maps Generating and applying gap analyses Privacy assessments Privacy impact assessments/data protection impact assessments Vendor assessments Policies Common types of privacy-related policies Policy components Strategies for implementation Data subject rights Operational considerations for communicating and ensuring data subject rights Privacy notice Choice and consent Access and rectification Data portability Erasure Training and awareness Developing privacy training and awareness programs Implementing privacy training and awareness programs Protecting personal information Holistic approach to protecting personal information Privacy by design Data breach incident plans Planning for a data security incident or breach Responding to a data security incident or breach Monitoring and auditing program performance Common practices for monitoring privacy program performance Measuring, analyzing and auditing privacy programs Additional course details: Nexus Humans Certified Information Privacy Manager (CIPM) 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 Certified Information Privacy Manager (CIPM) 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 4 Days 24 CPD hours This course is intended for Senior Linux system administrators responsible for maximizing resource utilization through performance tuning. Overview Analyze and tune for resource-specific scenarios Applying tuning profiles with the tuned tool Tune in virtual environments (hosts and guests) Trace and profile system events and activities Tune resource limits and utilization using systemd-integrated cgroups Gather performance metrics and benchmarking data Red Hat© Enterprise Performance Tuning is designed to teach senior Linux© system administrators the methodology of performance tuning for Red Hat Enterprise Linux. This course discusses system architecture with an emphasis on understanding the implications of system architecture on system performance, methods for testing the effects of performance adjustments, open source benchmarking utilities, methods for analyzing system and networking performance, and tuning configurations for specific application loads. Prerequisites Become a Red Hat Certified Engineer (RHCE©), or demonstrate equivalent experience 1 - Introduction to performance tuning Understand the basic principles of performance tuning and analysis. 2 - Collecting, graphing, and interpreting data Gain proficiency in using basic analysis tools and in evaluating data. 3 - General tuning Learn basic tuning theory and mechanisms used to tune the system. 4 - Hardware profiling Understand and analyze hardware. 5 - Software profiling Analyze CPU and memory performance of applications. 6 - Mail server tuning Learn about basic storage tuning using an email server as an example. 7 - Large memory workload tuning Understand memory management and tuning. 8 - HPC workload tuning HPC workload tuning 9 - File server tuning Understand storage and network tuning in the context of a file server application. 10 - Database server tuning Tune memory and network performance using a database application as an example. 11 - Power usage tuning Tune systems with power consumption in mind. 12 - Virtualization tuning Tune ?host? and ?guest? for efficient virtualization.

Duration 2 Days 12 CPD hours This course is intended for Data Protection Officers IT Managers and Administrators Records Managers System Developers IT Security specialist Anyone who builds and develops IT systems Overview Critical data protection concepts and practices that impact IT Consumer data protection expectations and responsibility How to bake privacy into early stages of IT products and services for cost control, accuracy and speed-to-market How to establish data protection practices for data collection and transfer How to preempt data protection issues in the Internet of Things How to factor data protection into data classification and emerging tech such as cloud computing, facial recognition and surveillance How to communicate data protection issues with partners such as management, development, marketing and legal The Principles of Privacy in Technology training is the how to course on privacy and data protection practices in the development, engineering, deployment and auditing of IT products and services. Those taking the course will develop an understanding of privacy-related issues and practices in the context of the design and implementation of information and communication technologies and systems. The training is based on the body of knowledge for the IAPP?s ANSI accredited Certified Information Privacy Technologist (CIPT) certification program. Fundamentals of information privacy Reviewing the modern history of privacy Foundational privacy concepts Data protection roles and fair information practices Exploring the impacts of privacy and data protection regulations on information management Privacy in the IT environment Compliance requirements IT risks Stakeholder privacy expectations Differentiating between privacy and security Core privacy concepts Foundational elements for embedding privacy in IT Common privacy principles Data protection by design and default Privacy considerations in the information life cycle Privacy considerations throughout the stages of the information life cycle Privacy in systems and applications Examining the risks inherent in the IT environment and options for addressing them Identity and access management Credit card information and processing Remote access BYOD and telecommuting Data encryption Additional privacy-enhancing technologies in the enterprise environment Privacy techniques Strengths and weaknesses of authentication techniques Using identifiers Privacy by design Online privacy issues Unique challenges that come from online privacy issues Laws and regulations Online threats Social media E-commerce Tracking technologies Web security protocols Technologies with privacy considerations Privacy considerations associated with a variety of technologies Cloud computing Wireless IDs Location-based services ?Smart? technologies Video/data/audio surveillance Biometric recognition

Duration 1.5 Days 9 CPD hours This course is intended for This course is intended for individuals who want to gain basic knowledge communicating, etiquette, professionalism and time management for the office environment. Overview Upon successful completion of this course, students will be able to communicate, be professional and manage their time effectively in a business environment. In this course, students will learn how to communicate, act and manage time effective in a business environment. Getting Started Icebreaker Housekeeping Items The Parking Lot Workshop Objectives The Big Picture What is Communication? How Do We Communicate? Other Factors in Communication Understanding Communication Barriers An Overview of Common Barriers Language Barriers Cultural Barriers Differences in Time and Place Paraverbal Communication Skills The Power of Pitch The Truth about Tone The Strength of Speed Non-Verbal Communication Understanding the Mehrabian Study All About Body Language Interpreting Gestures Speaking like a Star S = Situation T = Task A = Action R = Result Summary Listening Skills Seven Ways to Listen Better Today Understanding Active Listening Sending Good Signals to Others Asking Good Questions Open Questions Closed Questions Probing Questions Appreciative Inquiry The Purpose of AI The Four Stages Examples and Case Studies Mastering the Art of Conversation Level One: Discussing General Topics Level Two: Sharing Ideas and Perspectives Level Three: Sharing Personal Experiences Our Top Networking Tips Advanced Communication Skills Understanding Precipitating Factors Establishing Common Ground Using ?I? Messages Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans and Evaluations Principles of Professional Behavior Always be Your Best Meeting and Greeting Sending Social Invitations to Business Associates Interview Etiquette Interviewing Before the Interview In the Waiting Room During the Interview After the Interview Job Fair Interviews Planning & Attending Business Meetings Office Meetings Meal Meetings Electronic Etiquette Voicemail Cell Phones Email Multiculture Etiquette Defining the Challenge Five Steps to Dealing with Diversity Guidelines for Managing Diverse Relationships Time Management Concepts Benefits of better time utilization Who controls your schedule? Your Job: What You Are Responsible for Accomplishing? Your job responsibilities Setting objectives Setting priorities How to Use Your Time Gathering data-the time log Analyzing the data Delegation: Working Through Others Why some people don't delegate Levels of delegation How to delegate Benefits of delegation Getting started Planning: Keys to Achievement Planning: Keys to Achievement Coping with Common Time Wasters Coping with self-generated time wasters Coping with environmental time wasters Personal Needs that Get in the Way of Effective Time Utilization Needs profile analysis Self-assessment questionnaire Applying needs assessment results Planning for Improvement Six tips for effective time management Planning for improved time utilization Follow-Up: Staying on Track Time savings progress report Time savings progress chart Time management progress survey Additional course details: Nexus Humans Business Soft Skills 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 Business Soft Skills 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 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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.