2843 Learning courses in Sheffield delivered Live Online

In support of this year's World Suicide Prevention Day, all ticket fees for Tuesday 10th September 2024 are donated to The Ripple Suicide Prevention Charity - find out more about them here! Course Overview Teaching the theory and practice of suicide intervention skills that can be applied in any professional or personal setting, this programme is delivered over 3.5 hours as a suicide prevention awareness session. We use only the most experienced suicide prevention trainers to deliver this unique learning experience: for anyone who seeks greater understanding and confidence to intervene with people at risk of suicide.  The Suicide First Aid Lite (Virtual) course gives learners the knowledge and tools to understand that suicide is one of the most preventable deaths and some basic skills can help someone with thoughts of suicide stay safe from their thoughts and stay alive.  Course Content SFA Lite is comprised of 2 parts, each 90 minutes duration. The programme teaches the skills needed to identify someone who may be thinking about suicide and to pass the person onto a suicide first aider.  Part 1: Introduction to the session; programme, ourselves and suicide prevention Stigma and survivors of bereavement by suicide and the Hidden Toll Suicide thoughts and suicide behaviour Intention of behaviour versus outcome of behaviour Possible causes of suicide thoughts Suicide – the ripple effect Part 2: ‘I’m really glad you told me’ audio visual Suicide Safety Guidance Recognising and asking about suicide Referring a person onto suicide first aiders Suicide First Aid Lite (Virtual) training offers learning outcomes that are knowledge based and factual. This training can be used as a stand-alone programme or as the first part of a journey to learn suicide prevention skills.  The one-day programme Suicide First Aid through Understanding Suicide Interventions is a City & Guilds qualification programme and the next step for people wanting a more in-depth practise-based approach to the learning. The information in SFALV is easy to grasp for people of all skill levels and those with no prior knowledge of the subject. It is designed to meet the needs of virtual groups and could be used as a forerunner to the one-day Suicide First Aid Programme.  Evidence Base Two independent evaluations in 2016 and 2017 by Dr Paul Rogers demonstrated significant statistical change in 14 of 19 measures. Increased confidence and reduced anxiety in dealing with suicide, were among the leading outcomes.  Format Taught over 3.5 hours using tutor facilitated socratic learning, tutor-led practise sessions, mini lectures, group work and audio-visual presentations. This is a has some interactive elements and is an emotionally engaging learning experience.  Pre-training requirement No previous experience or training is necessary. Participants will be asked to self- reflect and empathise with a person having thoughts of suicide. There is no expectation on participants to share personal experiences.  Who should attend?  Multi-sector managers and practitioners including health, housing, social care, education, criminal justice, call centre operators, private, voluntary and public sector workers and community groups or members. 

Since the Pandemic people have been experiencing more stress, anxiety and depression and with this comes the loss of compassion shown for self and others while we attempt to make sense of what is happening and how we will adapt to the changes outside of our control. In this course we will discuss what Compassion and Empathy is, how to build and maintain compassion in times of change and uncertainty. This course has been created for anyone who works in the health and care sector / finance / retail / hospitality etc. and who works with clients / customers.

This is an online course sat at your own pace to introduce you to clinical coaching. As an Abbeydale training practice the cost of this course is including with the annual TP fee. During the course we will go into the concept of training a student, learning methods, tutorial techniques, safeguarding and how to use the Central Skills Log (CSL). The course is open for 2 months. Once completed we can then arrange access to the CSL for one of Abbeydale’s students.

Course Description:These two days are dedicated to nurses and other allied healthcare professionals (AHPs) who are either new to or revisiting the realm of minor illness assessment and treatment. The course progression is designed to take you from foundational knowledge to more confident and adept management of patients, encompassing both adults and children.Course Details:Day One:- 09:15 AM: Coffee and registration- 09:30 AM: Introduction and course objectives- 09:40 AM: What constitutes a 'Good Consultation?'- 10:00 AM: Fever and Flu Like Illness- 10:45 AM: Coffee break- 11:00 AM: Respiratory Tract Infections (including breath sounds)- 13:00 PM: Lunch break- 14:00 PM: Case Studies- 14:30 PM: Urinary Tract Infections (UTIs)- 14:30 PM: Ears, Nose, and Throat conditions- 15:00 PM: Abdominal Pain- 15:30 PM: Action plan, evaluation, and resources- 15:45 PM: CloseDay Two:- 09:15 AM: Coffee and registration- 09:30 AM: Review of work from day 1 - any feedback/questions?- 09:45 AM: Head, Neck, and Back Pain- 10:30 AM: Eye Infections- 10:45 AM: Coffee break- 11:00 AM: Mental Health (low mood)- 13:00 PM: Lunch break- 13:45 PM: Rashes- 14:30 PM: Minor Injuries- 16:00 PM: Case Studies, Action plan, evaluation, and resources - next steps?- 16:15 PM: CloseLearning Outcomes:- How to conduct an effective consultation.- Enhanced understanding of diagnosing and treating specific minor illnesses.- Expanded knowledge of medicine management, including when and what to prescribe.- Understanding when to initiate tests for better illness management.- Ability to discuss the patient's options and proposed management plan effectively.- Knowing when to refer a patient to another health professional.- Encouraging discussions about relevant practice problems and their solutions.- Appreciating the importance of ongoing professional development.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for managers and supervisors engaged in working with the Millennial generation workforce. Overview Upon successful completion of this course, participants will be able to define onboarding, discuss the characteristics of Millennials, and develop action plans for working with them. In this course, participants will learn to build an onboarding process that recognizes the challenges and strengths of the Millennial workforce. Getting Started Workshop Objectives Action Plan Purpose of Onboarding Start Up Costs Employee Anxiety Employee Turnover Realistic Expectations Practical Illustration Introduction Why Onboarding? Importance of Onboarding Making Employees Feel Welcome First Day Checklist Practical Illustration Millennials and Onboarding Who are Millennials? How Do Millennials Differ from Other Workers? Investiture Socialization ? Let Them Be Themselves! Informal Rather than Formal Onboarding Processes Practical Illustration Onboarding Checklist Pre-Arrival Arrival First Day First Week First Month Practical Illustration Engaging the Millennial Employee Create an Informal Program Engage Employees One-on-one The Role of Human Resources The Role of Managers Practical Illustration Following Up with the Millennial Employee Initial Check-In ? One-on-one Following up ? Regular, Informal Follow Ups Setting Schedules ? Millennials and Work-Life Mentoring and the Millennial Practical Illustration Setting Expectations with the Millennial Employee Define Requirements ? Provide Specific Instructions Identify Opportunities for Improvement and Growth Set Verbal Expectations Put It in Writing Practical Illustration Mentoring the Millennial Be Hands-On and Involved Serial Mentoring Be a Mentor, Not an Authority Figure Focus Millennia?s Exploratory Drive on Work Practical Illustration Assigning Work to the Millennial Employee Provide Clear Structure and Guidelines Provide Specific Benchmarks Set Boundaries and Provide Reality Checks Practical Illustration Providing Feedback Millennials Thrive on Feedback! Characteristics of Quality Feedback Informal Feedback Formal Feedback Practical Illustration Wrapping Up Words From the Wise Additional course details: Nexus Humans Millennial Onboarding 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 Millennial Onboarding 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.

Why choose SketchUp Training Course for Interior Designers and Architects? Course info During this training course, you will begin with an introduction to SketchUp, exploring its interface, fundamental concepts, including design tools, component, color and texture, and importing from 3D Warehouse related to interior design. Duration: 6 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. Advantages of SketchUp: Intuitive and Fast: Compared to other 3D modeling software, SketchUp is simple, fast, and easy to use. Quick Learning Curve: Within a few hours, users can create simple models and get started with SketchUp. Efficient Modeling: SketchUp allows for the creation of models with fewer faces, optimizing performance. Versatility: Its non-parametric modeling principle makes SketchUp suitable for various applications. Rich Component Library: Access a vast collection of free components in the 3D Warehouse. Extensive Plugins: Benefit from numerous free plugins. Interior Designers' SketchUp Training Course Course Duration: 6 hours I. Introduction to SketchUp (1 hour) Overview of SketchUp for interior design Familiarization with the interface and essential tools Navigating the 3D environment efficiently Project creation and management II. Creating Floor Plans (1 hour) Importing and drawing floor plans accurately Wall, window, and door precision Effective floor level management Organizing designs with Layers and Scenes III. Furniture and Fixtures (2 hours) Accessing 3D Warehouse for furniture and fixtures Crafting custom elements for unique designs Strategic arrangement within the space Materials and textures customization IV. Advanced Modeling (1 hour) Utilizing advanced tools for intricate 3D models Organizing models with groups and components Adding details and finishes for high-quality design V. 3D Visualization (1 hour) Creating immersive 3D models Applying textures to walls, floors, ceilings Mastering rendering for realistic presentations VI. Importing and Exporting (30 minutes) Seamless collaboration with other software File formats and compatibility understanding Preparing models for 3D printing VII. Conclusion and Next Steps (30 minutes) Comprehensive review and key takeaways Further learning resources and improvement avenues Interactive Q&A and feedback collection SketchUp - SketchUp trial https://www.sketchup.com Unlock Your Design's Full Potential With SketchUp's Powerful 3D Software. VR Model Viewing. Free Trial Available. Secure Payment Options. Types: SketchUp Go, SketchUp Pro.

We offer both 1:1 and Small group test prep. We tailor the package to fit the students needs. We take the time to get to know each student, their goals, personality, and learning style to make sure we find the best fit tutor to help them maximize their scores.

Data Data Everywhere – For what purpose? Which data is crucial to driving your organisation? How do we Analyse data to drive improvements? Course Overview Organisations generally collect enormous amounts of data. However, what data or information is really needed? How do we present the data that we have collected so that it is openly available and can be understood and used to drive the business? Is the data collected driving change? Structure of the Course This one-day workshop will enable participants to gain the necessary skills to collect, analyse and present data in an understanding and meaningful way and assist the decision-making process. It looks at how to translate data into useful and meaningful information that can contribute towards real problem solving, effective performance indicators, leading to the development of effective KPI’s, among others. Alternatively, if an organisation is in the process of selecting data collection methods and appropriate analysis, then this workshop will also help. Data analysis skills are essential to providing honest and accurate analysis, determining statistical significance, reliability, and validity on which to base their decisions, whether it is to improve quality, profitability, efficiency, or competitiveness. Improper statistical analyses distort findings and can mislead or negatively influence decision-making and the perception of the data collected. The correct analysis of data is a process of systematically applying statistical and / or logical techniques to describe and illustrate, condense, and recap, and evaluate data so that it can be used effectively. This workshop provides essential learning for staff at all levels of the organisation. Course content: 1. Data Types Discrete data Continuous data 2. Data Collection Sheet design Testing, prior to full-scale data collection 3. Data Input into Spreadsheet 4. Determination of Basic Descriptive Statistics Mean Median Mode Minimum and maximum values Range Standard deviation 5. Graphical Analysis Bar charts Line graphs Pie charts Scatter diagrams 6. Determination of Relationships between Factors Relationship between discrete factors Relationship between continuous factors 7. Use of Data in Decision Making 8. Establishment of Key Performance Indicators 9. Determination of Data Reliability 10. Summary Who would benefit from this Approach? Anyone who collects, manages, analyses and uses data to drive business performance. Delivery The course is delivered through virtual, tutor-led classes as structured above. The platform used is Adobe Connect which utilizes e-work rooms, video and streamed trainers. Cost £200 + VAT If you are not yet a member but are already thinking about joining CforC, you can find more information on how to become a member and the benefits by clicking here.

As the awareness of ADHD increases, more and more people are being diagnosed, or suspect they have ADHD. This workshop provides educators with an overview of what ADHD is, the challenges that people with ADHD face and strategies to help with learning and work.

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.